diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
index 0000000..26d3352
--- /dev/null
+++ b/.idea/.gitignore
@@ -0,0 +1,3 @@
+# Default ignored files
+/shelf/
+/workspace.xml
diff --git a/.idea/7_Widen_boundary.iml b/.idea/7_Widen_boundary.iml
new file mode 100644
index 0000000..d0876a7
--- /dev/null
+++ b/.idea/7_Widen_boundary.iml
@@ -0,0 +1,8 @@
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/deployment.xml b/.idea/deployment.xml
new file mode 100644
index 0000000..9b77c8c
--- /dev/null
+++ b/.idea/deployment.xml
@@ -0,0 +1,112 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml
new file mode 100644
index 0000000..9b95f7e
--- /dev/null
+++ b/.idea/inspectionProfiles/Project_Default.xml
@@ -0,0 +1,81 @@
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
new file mode 100644
index 0000000..105ce2d
--- /dev/null
+++ b/.idea/inspectionProfiles/profiles_settings.xml
@@ -0,0 +1,6 @@
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
new file mode 100644
index 0000000..37b4329
--- /dev/null
+++ b/.idea/misc.xml
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/.idea/modules.xml b/.idea/modules.xml
new file mode 100644
index 0000000..903815c
--- /dev/null
+++ b/.idea/modules.xml
@@ -0,0 +1,8 @@
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/0_dist_between_two_area.py b/0_dist_between_two_area.py
new file mode 100644
index 0000000..d713b49
--- /dev/null
+++ b/0_dist_between_two_area.py
@@ -0,0 +1,67 @@
+# -*- coding: UTF-8 -*-
+import cv2
+import numpy as np
+import skimage.exposure
+'''
+两个区域间最短距离
+https://www.cnpython.com/qa/1329750
+'''
+# read image
+img = cv2.imread('demo/73.png')
+h, w = img.shape[:2]
+
+# convert to gray
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+# threshold to binary
+thresh = cv2.threshold(gray, 128, 255, cv2.THRESH_BINARY)[1]
+
+# create zeros mask 2 pixels larger in each dimension
+mask = np.zeros([h + 2, w + 2], np.uint8)
+
+# floodfill white between two polygons at 240,240
+ffimg = thresh.copy()
+ffimg = cv2.floodFill(ffimg, mask, (240,240), 255)[1]
+
+# apply distance transform
+distimg = ffimg.copy()
+distimg = cv2.distanceTransform(distimg, cv2.DIST_L2, 5)
+
+# Maximum spacing between polygons is 2 * largest value in distimg
+max = 2*np.amax(distimg)
+print('maximum spacing:', max)
+
+print('')
+
+# convert to polar image using (any) point in the center 'hole' of distimg
+polar = cv2.warpPolar(distimg, (360,360), (320,330), 250, cv2.INTER_CUBIC+cv2.WARP_POLAR_LINEAR)
+
+# get maximum value along each row
+polar_max = np.amax(polar, axis=1)
+
+# find max and min values from row maximum values
+max = 2*np.amax(polar_max)
+min = 2*np.amin(polar_max)
+print('maximum spacing:', max)
+print('minimum spacing:', min)
+
+# scale distance image for viewing
+distimg = skimage.exposure.rescale_intensity(distimg, in_range='image', out_range=(0,255))
+distimg = distimg.astype(np.uint8)
+
+# scale polar image for viewing
+polar = skimage.exposure.rescale_intensity(polar, in_range='image', out_range=(0,255))
+polar = polar.astype(np.uint8)
+
+# save image
+cv2.imwrite('polygons_floodfill.png',ffimg)
+cv2.imwrite('polygons_distance.png',distimg)
+cv2.imwrite('polygons_distance_polar.png',polar)
+
+# show the images
+cv2.imshow("thresh", thresh)
+cv2.imshow("floodfill", ffimg)
+cv2.imshow("distance", distimg)
+cv2.imshow("polar", polar)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
\ No newline at end of file
diff --git a/0_dist_between_two_area2.py b/0_dist_between_two_area2.py
new file mode 100644
index 0000000..d2095cc
--- /dev/null
+++ b/0_dist_between_two_area2.py
@@ -0,0 +1,61 @@
+import cv2
+import numpy as np
+'''
+两个区域间最短距离
+https://www.lmlphp.com/user/154997/article/item/3778387/
+'''
+
+def contours(layer):
+ gray = cv2.cvtColor(layer, cv2.COLOR_BGR2GRAY)
+ ret,binary = cv2.threshold(gray, 1,255,cv2.THRESH_BINARY)
+ contours, hierarchy = cv2.findContours(binary,cv2.RETR_TREE,cv2.CHAIN_APPROX_NONE)
+ #drawn = cv2.drawContours(image,contours,-1,(150,150,150),3)
+ return contours #, drawn
+
+def minDistance(contour, contourOther):
+ distanceMin = 99999999
+ for xA, yA in contour[0]:
+ for xB, yB in contourOther[0]:
+ distance = ((xB-xA)**2+(yB-yA)**2)**(1/2) # distance formula
+ if (distance < distanceMin):
+ distanceMin = distance
+ return distanceMin
+
+def cntDistanceCompare(contoursA, contoursB):
+ cumMinDistList = []
+ for contourA in contoursA:
+ indMinDistList = []
+ for contourB in contoursB:
+ minDist = minDistance(contourA,contourB)
+ indMinDistList.append(minDist)
+ cumMinDistList.append(indMinDistList)
+ l = cumMinDistList
+ return sum(l)/len(l) #returns mean distance
+
+def maskBuilder(bgr,hl,hh,sl,sh,vl,vh):
+ hsv = cv2.cvtColor(bgr, cv2.COLOR_BGR2HSV)
+ lower_bound = np.array([hl,sl,vl],dtype=np.uint8)
+ upper_bound = np.array([hh,sh,vh],dtype=np.uint8)
+ return cv2.inRange(hsv, lower_bound,upper_bound)
+
+def getContourCenters(contourData):
+ contourCoordinates = []
+ for contour in contourData:
+ moments = cv2.moments(contour)
+ contourX = int(moments['m10'] / float(moments['m00']))
+ contourY = int(moments['m01'] / float(moments['m00']))
+ contourCoordinates += [[contourX, contourY]]
+ return contourCoordinates
+
+img = cv2.imread('demo/73.png')
+maskA=maskBuilder(img, 150,185, 40,220, 65,240)
+maskB=maskBuilder(img, 3,20, 50,180, 20,250)
+layerA = cv2.bitwise_and(img, img, mask = maskA)
+layerB = cv2.bitwise_and(img, img, mask = maskB)
+contoursA = contours(layerA)
+contoursB = contours(layerB)
+
+print(getContourCenters(contoursA))
+print(getContourCenters(contoursB))
+
+#print cntDistanceCompare(contoursA, contoursB)
\ No newline at end of file
diff --git a/0_dist_between_two_area3.py b/0_dist_between_two_area3.py
new file mode 100644
index 0000000..6ce8b28
--- /dev/null
+++ b/0_dist_between_two_area3.py
@@ -0,0 +1,21 @@
+import cv2
+import numpy as np
+'''
+两个区域间最短距离
+https://blog.csdn.net/weixin_42515093/article/details/112713403
+'''
+# 1、在二值图像中获取轮廓
+import cv2
+img = cv2.imread('demo/73.png')
+imgray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+ret, thresh = cv2.threshold(imgray, 127, 255, 0)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
+
+# 2、绘制轮廓
+# To draw all the contours in an image:
+cv2.drawContours(img, contours, -1, (0,255,0), 3)
+# To draw an individual contour, say 4th contour:
+cv2.drawContours(img, contours, 3, (0,255,0), 3)
+# But most of the time, below method will be useful:
+cnt = contours[4]
+cv2.drawContours(img, [cnt], 0, (0,255,0), 3)
\ No newline at end of file
diff --git a/0_mindist_between_two_array.py b/0_mindist_between_two_array.py
new file mode 100644
index 0000000..5ff277f
--- /dev/null
+++ b/0_mindist_between_two_array.py
@@ -0,0 +1,66 @@
+# -*- coding: UTF-8 -*-
+import cv2
+import time
+import numpy as np
+import skimage.exposure
+'''
+两个区域间最短距离
+https://www.cnpython.com/qa/1329750
+'''
+
+import math
+
+
+def downsample(num_arr,downsample_rate):
+ '''
+ 下采样数组，隔着downsample_rate个数取一个值
+ num_arr为数组
+ downsample_rate为采用概率，为1-n的正整数
+ '''
+ num_arr_temp=[]
+ for i in range(len(num_arr)//downsample_rate-1):
+ num_arr_temp.append(num_arr[i*downsample_rate])
+ return num_arr_temp
+
+# 中间输入的代码
+# 将数组存在num_arr1和num_arr2中
+
+t1=time.time()
+# 1.读入图片
+# img = cv2.imread('demo/171.png')
+img = cv2.imread('demo/9.png')
+t2=time.time()
+img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+contours, thresh = cv2.threshold(img_gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+
+# 2.寻找轮廓(多边界)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, 2)
+
+
+# 3.轮廓数组转为列表(多边界)
+list_contours=[]
+record=[]
+num_arr1=contours[0]
+num_arr2=contours[1]
+
+
+# 3.对边界进行下采样，减小点数量。
+num_arr11=downsample(num_arr1,10) #下采样边界点
+num_arr22=downsample(num_arr2,10) #下采样边界点
+
+
+
+
+print(num_arr1)
+t3=time.time()
+for i in num_arr11:
+ for j in num_arr22:
+ # record.append(abs(i[0] - j[0]))
+ record.append(math.sqrt((i[0][0] - j[0][0]) ** 2 +(i[0][1] - j[0][1]) ** 2 ) )
+
+print('两区域最小距离',min(record))
+t4=time.time()
+
+print('读图时间:%s 找边界时间:%s 区域最短距离计算时间:%s'%(t2-t1,t3-t2,t4-t3))
+
diff --git a/0_mindist_between_two_array_2.py b/0_mindist_between_two_array_2.py
new file mode 100644
index 0000000..bca5252
--- /dev/null
+++ b/0_mindist_between_two_array_2.py
@@ -0,0 +1,98 @@
+# -*- coding: UTF-8 -*-
+import cv2
+import time
+import numpy as np
+import skimage.exposure
+'''
+两个区域间最短距离
+https://www.cnpython.com/qa/1329750
+'''
+
+import math
+
+
+def downsample(num_arr,downsample_rate):
+ '''
+ 下采样数组，隔着downsample_rate个数取一个值
+ num_arr为数组
+ downsample_rate为采用概率，为1-n的正整数
+ '''
+ num_arr_temp=[]
+ for i in range(len(num_arr)//downsample_rate-1):
+ num_arr_temp.append(num_arr[i*downsample_rate])
+ return num_arr_temp
+
+
+def array_distance(arr1,arr2):
+ '''
+ 计算两个数组中，每任意两个点之间L2距离
+ arr1和arr2都必须是numpy数组
+ 且维度分别是mx2，nx2
+ 输出数组维度为mxn
+ '''
+ m,_=arr1.shape
+ n,_=arr2.shape
+ arr1_power = np.power(arr1, 2)
+ xxx=arr1_power[:, 0]
+ arr1_power_sum = arr1_power[:, 0] + arr1_power[:, 1] #第1区域，x与y的平方和
+ yyy=arr1_power_sum
+ arr1_power_sum = np.tile(arr1_power_sum, (n, 1)) #将arr1_power_sum沿着y轴复制n倍，沿着x轴复制1倍，这里用于与arr2进行计算。 nxm 维度
+ zzz=arr1_power_sum
+ arr1_power_sum = arr1_power_sum.T #将arr1_power_sum进行转置
+ arr2_power = np.power(arr2, 2)
+ arr2_power_sum = arr2_power[:, 0] + arr2_power[:, 1] #第2区域，x与y的平方和
+ arr2_power_sum = np.tile(arr2_power_sum, (m, 1)) #将arr1_power_sum沿着y轴复制m倍，沿着x轴复制1倍，这里用于与arr1进行计算。 mxn 维度
+ dis = arr1_power_sum + arr2_power_sum - (2 * np.dot(arr1, arr2.T)) #np.dot(arr1, arr2.T)矩阵相乘，得到xy的值。
+ dis = np.sqrt(dis)
+ return dis
+
+# 中间输入的代码
+# 将数组存在num_arr1和num_arr2中
+
+t1=time.time()
+# 1.读入图片
+# img = cv2.imread('demo/171.png')
+img = cv2.imread('demo/9.png')
+t2=time.time()
+img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+contours, thresh = cv2.threshold(img_gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+
+# 2.寻找轮廓(多边界)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, 2)
+
+
+# 3.轮廓数组转为列表(多边界)
+list_contours=[]
+record=[]
+num_arr1=contours[0]
+num_arr2=contours[1]
+
+
+ssss1=np.squeeze(num_arr1, 1)
+ssss2=np.squeeze(num_arr2, 1)
+
+
+# 3.对边界进行下采样，减小点数量。
+num_arr11=downsample(num_arr1,10) #下采样边界点
+num_arr22=downsample(num_arr2,10) #下采样边界点
+
+
+
+
+print(num_arr1)
+t3=time.time()
+
+dist_arr=array_distance(ssss1,ssss2)
+min_dist=dist_arr[dist_arr>0].min()
+
+print(min_dist)
+
+
+
+
+# print('两区域最小距离',min(record))
+t4=time.time()
+
+print('读图时间:%s 找边界时间:%s 区域最短距离计算时间:%s'%(t2-t1,t3-t2,t4-t3))
+
diff --git a/0_文件说明.txt b/0_文件说明.txt
new file mode 100644
index 0000000..18e45ca
--- /dev/null
+++ b/0_文件说明.txt
@@ -0,0 +1,8 @@
+1、0_mindist_between_two_array_2.py
+两个区域之间最小距离（采用数组计算）
+
+ 0_mindist_between_two_array.py
+ 两个区域之间最小距离（for循环计算，耗时严重）
+
+2、main_jicheng_multiple_area.py
+将区域往外扩充一定数量的像素点。
\ No newline at end of file
diff --git a/comparison/22.png b/comparison/22.png
new file mode 100644
index 0000000..77aa3e0
Binary files /dev/null and b/comparison/22.png differ
diff --git a/comparison/22_expanded.jpg b/comparison/22_expanded.jpg
new file mode 100644
index 0000000..70f8a41
Binary files /dev/null and b/comparison/22_expanded.jpg differ
diff --git a/comparison/22_final.jpg b/comparison/22_final.jpg
new file mode 100644
index 0000000..886b8de
Binary files /dev/null and b/comparison/22_final.jpg differ
diff --git a/comparison/73.jpg b/comparison/73.jpg
new file mode 100644
index 0000000..72700df
Binary files /dev/null and b/comparison/73.jpg differ
diff --git a/comparison/73.png b/comparison/73.png
new file mode 100644
index 0000000..4706abc
Binary files /dev/null and b/comparison/73.png differ
diff --git a/comparison/73_final.jpg b/comparison/73_final.jpg
new file mode 100644
index 0000000..77946c3
Binary files /dev/null and b/comparison/73_final.jpg differ
diff --git a/demo1/0.jpg b/demo1/0.jpg
new file mode 100644
index 0000000..e1de2dd
Binary files /dev/null and b/demo1/0.jpg differ
diff --git a/demo1/0.png b/demo1/0.png
new file mode 100644
index 0000000..96a8791
Binary files /dev/null and b/demo1/0.png differ
diff --git a/demo1/1.jpg b/demo1/1.jpg
new file mode 100644
index 0000000..164b92b
Binary files /dev/null and b/demo1/1.jpg differ
diff --git a/demo1/1.png b/demo1/1.png
new file mode 100644
index 0000000..378c27d
Binary files /dev/null and b/demo1/1.png differ
diff --git a/demo1/10.jpg b/demo1/10.jpg
new file mode 100644
index 0000000..d030c05
Binary files /dev/null and b/demo1/10.jpg differ
diff --git a/demo1/10.png b/demo1/10.png
new file mode 100644
index 0000000..2c2107c
Binary files /dev/null and b/demo1/10.png differ
diff --git a/demo1/10_detected.jpg b/demo1/10_detected.jpg
new file mode 100644
index 0000000..387c64a
Binary files /dev/null and b/demo1/10_detected.jpg differ
diff --git a/demo1/11.jpg b/demo1/11.jpg
new file mode 100644
index 0000000..c9548c3
Binary files /dev/null and b/demo1/11.jpg differ
diff --git a/demo1/11.png b/demo1/11.png
new file mode 100644
index 0000000..28c7f97
Binary files /dev/null and b/demo1/11.png differ
diff --git a/demo1/11_detected.jpg b/demo1/11_detected.jpg
new file mode 100644
index 0000000..4c7536b
Binary files /dev/null and b/demo1/11_detected.jpg differ
diff --git a/demo1/12.jpg b/demo1/12.jpg
new file mode 100644
index 0000000..942c8c4
Binary files /dev/null and b/demo1/12.jpg differ
diff --git a/demo1/12.png b/demo1/12.png
new file mode 100644
index 0000000..d96189e
Binary files /dev/null and b/demo1/12.png differ
diff --git a/demo1/12_detected.jpg b/demo1/12_detected.jpg
new file mode 100644
index 0000000..0f9ae1c
Binary files /dev/null and b/demo1/12_detected.jpg differ
diff --git a/demo1/13.jpg b/demo1/13.jpg
new file mode 100644
index 0000000..022406e
Binary files /dev/null and b/demo1/13.jpg differ
diff --git a/demo1/13.png b/demo1/13.png
new file mode 100644
index 0000000..ff90532
Binary files /dev/null and b/demo1/13.png differ
diff --git a/demo1/13_detected.jpg b/demo1/13_detected.jpg
new file mode 100644
index 0000000..d6af849
Binary files /dev/null and b/demo1/13_detected.jpg differ
diff --git a/demo1/14.jpg b/demo1/14.jpg
new file mode 100644
index 0000000..67d2ecc
Binary files /dev/null and b/demo1/14.jpg differ
diff --git a/demo1/14.png b/demo1/14.png
new file mode 100644
index 0000000..fcb4594
Binary files /dev/null and b/demo1/14.png differ
diff --git a/demo1/14_detected.jpg b/demo1/14_detected.jpg
new file mode 100644
index 0000000..0be22e7
Binary files /dev/null and b/demo1/14_detected.jpg differ
diff --git a/demo1/15.jpg b/demo1/15.jpg
new file mode 100644
index 0000000..f9bd4d8
Binary files /dev/null and b/demo1/15.jpg differ
diff --git a/demo1/15.png b/demo1/15.png
new file mode 100644
index 0000000..cfd7a6b
Binary files /dev/null and b/demo1/15.png differ
diff --git a/demo1/15_detected.jpg b/demo1/15_detected.jpg
new file mode 100644
index 0000000..491de6c
Binary files /dev/null and b/demo1/15_detected.jpg differ
diff --git a/demo1/16.jpg b/demo1/16.jpg
new file mode 100644
index 0000000..762fc94
Binary files /dev/null and b/demo1/16.jpg differ
diff --git a/demo1/16.png b/demo1/16.png
new file mode 100644
index 0000000..fa96e51
Binary files /dev/null and b/demo1/16.png differ
diff --git a/demo1/16_detected.jpg b/demo1/16_detected.jpg
new file mode 100644
index 0000000..11fac10
Binary files /dev/null and b/demo1/16_detected.jpg differ
diff --git a/demo1/17.jpg b/demo1/17.jpg
new file mode 100644
index 0000000..c5e75e8
Binary files /dev/null and b/demo1/17.jpg differ
diff --git a/demo1/17.png b/demo1/17.png
new file mode 100644
index 0000000..76ac9d3
Binary files /dev/null and b/demo1/17.png differ
diff --git a/demo1/17_detected.jpg b/demo1/17_detected.jpg
new file mode 100644
index 0000000..0a9557f
Binary files /dev/null and b/demo1/17_detected.jpg differ
diff --git a/demo1/18.jpg b/demo1/18.jpg
new file mode 100644
index 0000000..e26500d
Binary files /dev/null and b/demo1/18.jpg differ
diff --git a/demo1/18.png b/demo1/18.png
new file mode 100644
index 0000000..1a36428
Binary files /dev/null and b/demo1/18.png differ
diff --git a/demo1/18_detected.jpg b/demo1/18_detected.jpg
new file mode 100644
index 0000000..519087a
Binary files /dev/null and b/demo1/18_detected.jpg differ
diff --git a/demo1/19.jpg b/demo1/19.jpg
new file mode 100644
index 0000000..27036a1
Binary files /dev/null and b/demo1/19.jpg differ
diff --git a/demo1/19.png b/demo1/19.png
new file mode 100644
index 0000000..66f66e4
Binary files /dev/null and b/demo1/19.png differ
diff --git a/demo1/19_detected.jpg b/demo1/19_detected.jpg
new file mode 100644
index 0000000..8207349
Binary files /dev/null and b/demo1/19_detected.jpg differ
diff --git a/demo1/1_detected.jpg b/demo1/1_detected.jpg
new file mode 100644
index 0000000..523fdc5
Binary files /dev/null and b/demo1/1_detected.jpg differ
diff --git a/demo1/2.jpg b/demo1/2.jpg
new file mode 100644
index 0000000..d5929f3
Binary files /dev/null and b/demo1/2.jpg differ
diff --git a/demo1/2.png b/demo1/2.png
new file mode 100644
index 0000000..f8399b8
Binary files /dev/null and b/demo1/2.png differ
diff --git a/demo1/20.jpg b/demo1/20.jpg
new file mode 100644
index 0000000..ea295f8
Binary files /dev/null and b/demo1/20.jpg differ
diff --git a/demo1/20.png b/demo1/20.png
new file mode 100644
index 0000000..b922512
Binary files /dev/null and b/demo1/20.png differ
diff --git a/demo1/20_detected.jpg b/demo1/20_detected.jpg
new file mode 100644
index 0000000..b5598c4
Binary files /dev/null and b/demo1/20_detected.jpg differ
diff --git a/demo1/21.jpg b/demo1/21.jpg
new file mode 100644
index 0000000..521e296
Binary files /dev/null and b/demo1/21.jpg differ
diff --git a/demo1/21.png b/demo1/21.png
new file mode 100644
index 0000000..6dbffcb
Binary files /dev/null and b/demo1/21.png differ
diff --git a/demo1/21_detected.jpg b/demo1/21_detected.jpg
new file mode 100644
index 0000000..0365ede
Binary files /dev/null and b/demo1/21_detected.jpg differ
diff --git a/demo1/22.jpg b/demo1/22.jpg
new file mode 100644
index 0000000..9ee107c
Binary files /dev/null and b/demo1/22.jpg differ
diff --git a/demo1/22.png b/demo1/22.png
new file mode 100644
index 0000000..4a5b7bf
Binary files /dev/null and b/demo1/22.png differ
diff --git a/demo1/22_detected.jpg b/demo1/22_detected.jpg
new file mode 100644
index 0000000..805536d
Binary files /dev/null and b/demo1/22_detected.jpg differ
diff --git a/demo1/23.jpg b/demo1/23.jpg
new file mode 100644
index 0000000..18bf6f7
Binary files /dev/null and b/demo1/23.jpg differ
diff --git a/demo1/23.png b/demo1/23.png
new file mode 100644
index 0000000..d83ad62
Binary files /dev/null and b/demo1/23.png differ
diff --git a/demo1/23_detected.jpg b/demo1/23_detected.jpg
new file mode 100644
index 0000000..3455e47
Binary files /dev/null and b/demo1/23_detected.jpg differ
diff --git a/demo1/24.jpg b/demo1/24.jpg
new file mode 100644
index 0000000..9d0df8e
Binary files /dev/null and b/demo1/24.jpg differ
diff --git a/demo1/24.png b/demo1/24.png
new file mode 100644
index 0000000..83fda5f
Binary files /dev/null and b/demo1/24.png differ
diff --git a/demo1/24_detected.jpg b/demo1/24_detected.jpg
new file mode 100644
index 0000000..387c64a
Binary files /dev/null and b/demo1/24_detected.jpg differ
diff --git a/demo1/2_detected.jpg b/demo1/2_detected.jpg
new file mode 100644
index 0000000..0a74666
Binary files /dev/null and b/demo1/2_detected.jpg differ
diff --git a/demo1/3.jpg b/demo1/3.jpg
new file mode 100644
index 0000000..55741e1
Binary files /dev/null and b/demo1/3.jpg differ
diff --git a/demo1/3_detected.jpg b/demo1/3_detected.jpg
new file mode 100644
index 0000000..39c4660
Binary files /dev/null and b/demo1/3_detected.jpg differ
diff --git a/demo1/4.jpg b/demo1/4.jpg
new file mode 100644
index 0000000..a251cc7
Binary files /dev/null and b/demo1/4.jpg differ
diff --git a/demo1/4.png b/demo1/4.png
new file mode 100644
index 0000000..a684847
Binary files /dev/null and b/demo1/4.png differ
diff --git a/demo1/4_detected.jpg b/demo1/4_detected.jpg
new file mode 100644
index 0000000..a873d7c
Binary files /dev/null and b/demo1/4_detected.jpg differ
diff --git a/demo1/5.jpg b/demo1/5.jpg
new file mode 100644
index 0000000..42c7a6b
Binary files /dev/null and b/demo1/5.jpg differ
diff --git a/demo1/6.png b/demo1/6.png
new file mode 100644
index 0000000..5e5009a
Binary files /dev/null and b/demo1/6.png differ
diff --git a/demo1/7.png b/demo1/7.png
new file mode 100644
index 0000000..f2b9c1d
Binary files /dev/null and b/demo1/7.png differ
diff --git a/demo1/8.png b/demo1/8.png
new file mode 100644
index 0000000..b3430f4
Binary files /dev/null and b/demo1/8.png differ
diff --git a/demo1/8_detected.jpg b/demo1/8_detected.jpg
new file mode 100644
index 0000000..3e29e7a
Binary files /dev/null and b/demo1/8_detected.jpg differ
diff --git a/demo1/9.png b/demo1/9.png
new file mode 100644
index 0000000..c893b73
Binary files /dev/null and b/demo1/9.png differ
diff --git a/demo1/9_detected.jpg b/demo1/9_detected.jpg
new file mode 100644
index 0000000..db22da6
Binary files /dev/null and b/demo1/9_detected.jpg differ
diff --git a/image/1.jpg b/image/1.jpg
new file mode 100644
index 0000000..fea157e
Binary files /dev/null and b/image/1.jpg differ
diff --git a/image/171.jpg b/image/171.jpg
new file mode 100644
index 0000000..225b5e9
Binary files /dev/null and b/image/171.jpg differ
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..3e0de26
--- /dev/null
+++ b/main.py
@@ -0,0 +1,23 @@
+# -*- coding: UTF-8 -*-
+import cv2 as cv
+import numpy
+# 1.读入图片
+img = cv.imread('demo/171.png')
+img_gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
+contours, thresh = cv.threshold(img_gray, 0, 255, cv.THRESH_BINARY + cv.THRESH_OTSU)
+
+# 2.寻找轮廓
+contours, hierarchy = cv.findContours(thresh, cv.RETR_LIST, 2)
+
+print(len(contours),hierarchy)
+
+# 3.绘制轮廓
+cv.drawContours(img, contours, -1, (0, 0, 255), 2)
+
+# cv.imshow('result',img)
+# cv.resizeWindow('result', 640, 480);
+cv.namedWindow("boundary",0);
+cv.resizeWindow("boundary", 640, 480);
+cv.imshow("boundary",img)
+cv.waitKey(0)
+cv.destroyAllWindows()
\ No newline at end of file
diff --git a/main2.py b/main2.py
new file mode 100644
index 0000000..aade672
--- /dev/null
+++ b/main2.py
@@ -0,0 +1,184 @@
+# -*- coding: UTF-8 -*-
+#!/usr/bin/env python
+# -*- encoding: utf-8 -*-
+'''
+@File : 多边形等距缩放.py
+@data ：2021/7/5 15:53
+@Desciption :
+@Version :
+@License :
+'''
+
+import cv2
+import numpy as np
+def scale(data, sec_dis):
+ """多边形等距缩放
+ Args:
+ data: 多边形按照逆时针顺序排列的的点集
+ sec_dis: 缩放距离
+
+ Returns:
+ 缩放后的多边形点集
+ """
+ num = len(data)
+ scal_data = []
+ for i in range(num):
+ x1 = data[(i) % num][0] - data[(i - 1) % num][0]
+ y1 = data[(i) % num][1] - data[(i - 1) % num][1]
+ x2 = data[(i + 1) % num][0] - data[(i) % num][0]
+ y2 = data[(i + 1) % num][1] - data[(i) % num][1]
+
+ d_A = (x1 ** 2 + y1 ** 2) ** 0.5
+ d_B = (x2 ** 2 + y2 ** 2) ** 0.5
+
+ Vec_Cross = (x1 * y2) - (x2 * y1)
+ if (d_A * d_B==0):
+ continue
+ sin_theta = Vec_Cross / (d_A * d_B)
+ if (sin_theta==0):
+ continue
+ dv = sec_dis / sin_theta
+
+ v1_x = (dv / d_A) * x1
+ v1_y = (dv / d_A) * y1
+
+ v2_x = (dv / d_B) * x2
+ v2_y = (dv / d_B) * y2
+
+ PQ_x = v1_x - v2_x
+ PQ_y = v1_y - v2_y
+
+ Q_x = data[(i) % num][0] + PQ_x
+ Q_y = data[(i) % num][1] + PQ_y
+ scal_data.append([Q_x, Q_y])
+ return scal_data
+
+
+data = [[454 , 76],
+ [448 ,78],
+ [444, 81],
+ [440 , 85],
+ [438, 90],
+ [437, 96],
+ [436 ,101],
+ [434, 107],
+ [432 ,112],
+ [431 ,117],
+ [430 ,123],
+ [429, 129],
+ [428, 134],
+ [427, 140],
+ [427, 145],
+ [427, 151],
+ [427 ,157],
+ [427 ,163],
+ [427, 169],
+ [427, 175],
+ [427, 181],
+ [427, 187],
+ [428, 193],
+ [428 ,199],
+ [429, 204],
+ [429, 210],
+ [429 ,216],
+ [430, 222],
+ [431, 227],
+ [431, 233],
+ [431, 239],
+ [432, 245],
+ [433, 250],
+ [434, 256],
+ [435 ,261],
+ [436 ,267],
+ [437 ,272],
+ [438, 278],
+ [439, 283],
+ [441, 289],
+ [442, 294],
+ [443, 300],
+ [445, 305],
+ [446, 310],
+ [448, 316],
+ [450, 321],
+ [453, 330],
+ [461, 334],
+ [466, 336],
+ [471, 338],
+ [477 ,340],
+ [482, 340],
+ [488, 341],
+ [494, 341],
+ [500, 341],
+ [506 ,341],
+ [511 ,340],
+ [517, 339],
+ [523 ,338],
+ [528, 337],
+ [533, 335],
+ [539, 333],
+ [544, 331],
+ [549, 329],
+ [553, 326],
+ [558, 322],
+ [562, 318],
+ [566, 313],
+ [568, 308],
+ [569, 303],
+ [570, 297],
+ [570, 291],
+ [569, 285],
+ [569, 280],
+ [568, 274],
+ [567, 268],
+ [566 ,263],
+ [566 ,257],
+ [564 ,252],
+ [564 ,246],
+ [562, 241],
+ [561, 235],
+ [560, 230],
+ [560, 224],
+ [558 ,219],
+ [558, 213],
+ [556, 207],
+ [555, 202],
+ [554, 196],
+ [553, 191],
+ [552, 185],
+ [550, 180],
+ [549, 174],
+ [548, 169],
+ [547 ,164],
+ [545 ,158],
+ [543 ,153],
+ [541 ,148],
+ [539 ,143],
+ [536 ,138],
+ [533 ,133],
+ [530, 128],
+ [528 ,124],
+ [524 ,119],
+ [520 ,115],
+ [515, 111],
+ [511, 108],
+ [506 ,106],
+ [501 ,104],
+ [495 ,102],
+ [490, 101],
+ [485 , 99],
+ [480 , 97],
+ [475 , 93],
+ [471 , 89],
+ [468 , 84],
+ [465, 80],
+ [460 , 76]]
+
+data1 = scale(data,-100)
+print(data1)
+temp = np.ones((1300,1000,3), np.uint8) * 255
+#cv2.polylines(temp, data1, 1, 255)
+cv2.polylines(temp , [np.array(data , dtype=np.int32)], True, (255, 0, 0), 1)
+cv2.polylines(temp , [np.array(data1 , dtype=np.int32)], True, (0, 0, 255), 1)
+cv2.imshow ("img",temp)
+cv2.imwrite("1.jpg",temp)
+cv2.waitKey(0)
diff --git a/main_jicheng.py b/main_jicheng.py
new file mode 100644
index 0000000..08d628a
--- /dev/null
+++ b/main_jicheng.py
@@ -0,0 +1,107 @@
+# -*- coding: UTF-8 -*-
+#!/usr/bin/env python
+# -*- encoding: utf-8 -*-
+'''
+@File : 多边形等距缩放.py
+@data ：2021/7/5 15:53
+@Desciption :
+@Version :
+@License :
+'''
+
+import cv2
+import numpy as np
+
+def contours_2_list(data):
+ """将opencv读取的边界numpy数组（3个维度）转化为list（2个维度）
+ Args:
+ data为数组
+
+
+ Returns:
+ list（2个维度）
+ """
+ yyy = data[0]
+ # print(yyy)
+ list_contours = []
+ for i in range(yyy.shape[0]):
+ list_contours.append([yyy[i][0][0], yyy[i][0][1]])
+ return list_contours
+
+
+
+def scale(data, sec_dis):
+ """多边形等距缩放
+ Args:
+ data: 多边形按照逆时针顺序排列的的点集
+ sec_dis: 缩放距离
+
+ Returns:
+ 缩放后的多边形点集
+ """
+ num = len(data)
+ scal_data = []
+ for i in range(num):
+ x1 = data[(i) % num][0] - data[(i - 1) % num][0]
+ y1 = data[(i) % num][1] - data[(i - 1) % num][1]
+ x2 = data[(i + 1) % num][0] - data[(i) % num][0]
+ y2 = data[(i + 1) % num][1] - data[(i) % num][1]
+
+ d_A = (x1 ** 2 + y1 ** 2) ** 0.5
+ d_B = (x2 ** 2 + y2 ** 2) ** 0.5
+
+ Vec_Cross = (x1 * y2) - (x2 * y1)
+ if (d_A * d_B==0):
+ continue
+ sin_theta = Vec_Cross / (d_A * d_B)
+ if (sin_theta==0):
+ continue
+ dv = sec_dis / sin_theta
+
+ v1_x = (dv / d_A) * x1
+ v1_y = (dv / d_A) * y1
+
+ v2_x = (dv / d_B) * x2
+ v2_y = (dv / d_B) * y2
+
+ PQ_x = v1_x - v2_x
+ PQ_y = v1_y - v2_y
+
+ Q_x = data[(i) % num][0] + PQ_x
+ Q_y = data[(i) % num][1] + PQ_y
+ scal_data.append([Q_x, Q_y])
+ return scal_data
+
+# 1.读入图片
+# img = cv2.imread('demo/171.png')
+img = cv2.imread('image/171.jpg')
+img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+contours, thresh = cv2.threshold(img_gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+
+# 2.寻找轮廓
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, 2)
+
+
+list_contours=contours_2_list(contours)
+
+# for i in range(yyy.shape[0]):
+# list_contours.append([yyy[i][0][0],yyy[i][0][1]])
+
+data=list_contours
+
+
+data1 = scale(data,-150)
+print(data1)
+# temp = np.ones((img_gray.shape[0],img_gray.shape[1],3), np.uint8) * 255
+temp = np.zeros((img_gray.shape[0],img_gray.shape[1],3), np.uint8) * 255
+# cv2.polylines(temp, data1, 1, 255)
+cv2.polylines(temp,[np.array(data1, dtype=np.int32)],True, (255, 0, 0), 5)
+# cv2.polylines(temp , [np.array(data1 , dtype=np.int32)], True, (0, 0, 255), 1)
+
+cv2.namedWindow("boundary",cv2.WINDOW_NORMAL);
+cv2.resizeWindow("boundary", 640, 480);
+cv2.imshow("boundary",temp)
+
+# cv2.imshow ("img",temp)
+cv2.imwrite("1.jpg",temp)
+cv2.waitKey(0)
diff --git a/main_jicheng_multiple_area.py b/main_jicheng_multiple_area.py
new file mode 100644
index 0000000..2630791
--- /dev/null
+++ b/main_jicheng_multiple_area.py
@@ -0,0 +1,221 @@
+# -*- coding: UTF-8 -*-
+#!/usr/bin/env python
+# -*- encoding: utf-8 -*-
+'''
+@File : 多边形等距缩放.py
+@data ：2021/7/5 15:53
+@Desciption :
+@Version :
+@License :
+'''
+
+import cv2
+import numpy as np
+import time
+
+
+
+def contours_2_list(data):
+ """将opencv读取的边界numpy数组（3个维度）转化为list（2个维度）
+ Args:
+ data为数组
+
+
+ Returns:
+ list（2个维度）
+ """
+ # yyy = data[0]
+ yyy = data
+ # print(yyy)
+ list_contours = []
+ for i in range(yyy.shape[0]):
+ list_contours.append([yyy[i][0][0], yyy[i][0][1]])
+ return list_contours
+
+
+
+def scale(data, sec_dis):
+ """多边形等距缩放
+ Args:
+ data: 多边形按照逆时针顺序排列的的点集
+ sec_dis: 缩放距离
+
+ Returns:
+ 缩放后的多边形点集
+ """
+ num = len(data)
+ scal_data = []
+ for i in range(num):
+ x1 = data[(i) % num][0] - data[(i - 1) % num][0]
+ y1 = data[(i) % num][1] - data[(i - 1) % num][1]
+ x2 = data[(i + 1) % num][0] - data[(i) % num][0]
+ y2 = data[(i + 1) % num][1] - data[(i) % num][1]
+
+ d_A = (x1 ** 2 + y1 ** 2) ** 0.5
+ d_B = (x2 ** 2 + y2 ** 2) ** 0.5
+
+ Vec_Cross = (x1 * y2) - (x2 * y1)
+ if (d_A * d_B==0):
+ continue
+ sin_theta = Vec_Cross / (d_A * d_B)
+ if (sin_theta==0):
+ continue
+ dv = sec_dis / sin_theta
+
+ v1_x = (dv / d_A) * x1
+ v1_y = (dv / d_A) * y1
+
+ v2_x = (dv / d_B) * x2
+ v2_y = (dv / d_B) * y2
+
+ PQ_x = v1_x - v2_x
+ PQ_y = v1_y - v2_y
+
+
+ Q_x = data[(i) % num][0] + PQ_x
+ Q_y = data[(i) % num][1] + PQ_y
+ scal_data.append([Q_x, Q_y])
+ return scal_data
+
+
+t1=time.time()
+# 1.读入图片
+# img = cv2.imread('demo/171.png')
+img = cv2.imread('demo1/10.png')
+img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+t2=time.time()
+contours, thresh = cv2.threshold(img_gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+
+# 2.寻找轮廓(多边界)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, 2)
+t3=time.time()
+
+# 3.轮廓数组转为列表(多边界)
+list_contours=[]
+# xxx=contours[0]
+# yyy=contours[1]
+
+for i in range(len(contours)):
+ list_contours.append(contours_2_list(contours[i]))
+
+# for i in range(yyy.shape[0]):
+# list_contours.append([yyy[i][0][0],yyy[i][0][1]])
+
+data=list_contours
+# 4.等距离扩大或缩小(多边界)
+data1=[]
+for i in range(len(data)):
+ data1.append(scale(data[i],-15)) #减号是往外扩
+print(data1)
+t4=time.time()
+
+
+# 5.在原图尺寸上绘制出扩充后边界(多边界)
+# temp = np.ones((img_gray.shape[0],img_gray.shape[1],3), np.uint8) * 255 #白色底图
+# temp = np.zeros((img_gray.shape[0],img_gray.shape[1],3), np.uint8) * 255 #黑色底图
+temp = cv2.imread('demo1/10.jpg') #原图
+t5=time.time()
+# cv2.polylines(temp, data1, 1, 255)
+# cv2.polylines(temp,[np.array(data1, dtype=np.int32)],True, (255, 0, 0), 1,lineType=cv2.LINE_AA)
+for i in range(len(data1)):
+ cv2.polylines(temp,[np.array(data1[i], dtype=np.int32)],True, (255, 0, 255), 5)
+ # cv2.polylines(temp , [np.array(data1 , dtype=np.int32)], True, (0, 0, 255), 1)\
+
+t6=time.time()
+
+cv2.namedWindow("boundary",cv2.WINDOW_NORMAL);
+cv2.resizeWindow("boundary", 640, 480);
+cv2.imshow("boundary",temp);
+cv2.imwrite("demo1/24_detected.jpg",temp)
+t7=time.time()
+
+print('总耗时',t7-t1)
+print("读二值图像耗时:%s 形成轮廓耗时:%s 等距离缩放耗时:%s 读取原图：%s 绘制多段线: %s 保存图像耗时:%s" %(t2-t1,t3-t2,t4-t3,t5-t4,t6-t5,t7-t6))
+cv2.waitKey(0)
+
+
+
+
+# import os
+# from flask import Flask, request, redirect, url_for, jsonify
+# from werkzeug.utils import secure_filename
+#
+# import cv2
+# import numpy as np
+#
+# UPLOAD_FOLDER = './images'
+# CONVERTED_FOLDER = './static'
+# ALLOWED_EXTENSIONS = set(['txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif'])
+#
+# app = Flask(__name__, static_folder='static', static_url_path='/static')
+# app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
+# app.config['CONVERTED_FOLDER'] = CONVERTED_FOLDER
+#
+# def allowed_file(filename):
+# return '.' in filename and \
+# filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
+#
+# @app.route('/', methods=['POST'])
+# def upload_file():
+# if request.method == 'POST':
+# if 'file' not in request.files:
+# return jsonify(error = 'No file part')
+# file = request.files['file']
+#
+# if file.filename == '':
+# return jsonify(error = 'No selected file')
+# if file and allowed_file(file.filename):
+# filename = secure_filename(file.filename)
+# file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
+#
+# filename_no_ext = file.filename.split('.')[0]
+#
+# BLUR = 21
+# CANNY_THRESH_1 = 1
+# CANNY_THRESH_2 = 200
+# MASK_DILATE_ITER = 10
+# MASK_ERODE_ITER = 10
+# MASK_COLOR = (0.0,0.0,1.0)
+#
+# img = cv2.imread(os.path.join(app.config['UPLOAD_FOLDER'], filename))
+# gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+#
+# edges = cv2.Canny(gray, CANNY_THRESH_1, CANNY_THRESH_2)
+# edges = cv2.dilate(edges, None)
+# edges = cv2.erode(edges, None)
+#
+# contour_info = []
+# img2, contours, _ = cv2.findContours(edges, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)
+# for c in contours:
+# contour_info.append((
+# c,
+# cv2.isContourConvex(c),
+# cv2.contourArea(c),
+# ))
+# contour_info = sorted(contour_info, key=lambda c: c[2], reverse=True)
+# max_contour = contour_info[0]
+#
+# mask = np.zeros(edges.shape)
+#
+# cv2.fillConvexPoly(mask, max_contour[0], (255))
+#
+# mask = cv2.dilate(mask, None, iterations=MASK_DILATE_ITER)
+# mask = cv2.erode(mask, None, iterations=MASK_ERODE_ITER)
+# mask = cv2.GaussianBlur(mask, (BLUR, BLUR), 0)
+#
+#
+# mask_stack = np.dstack([mask]*3)
+#
+# mask_stack = mask_stack.astype('float32') / 255.0
+# img = img.astype('float32') / 255.0
+#
+# masked = (mask_stack * img) + ((1-mask_stack) * MASK_COLOR)
+# masked = (masked * 255).astype('uint8')
+# c_red, c_green, c_blue = cv2.split(img)
+# img_a = cv2.merge((c_red, c_green, c_blue, mask.astype('float32') / 255.0))
+#
+# cv2.imwrite('./static/' + filename_no_ext + '.png', img_a*255)
+#
+# return jsonify(url = os.path.join(app.config['UPLOAD_FOLDER'],filename))
+#
+# app.run(host='0.0.0.0',threaded=True)
\ No newline at end of file
diff --git a/统计表.docx b/统计表.docx
new file mode 100644
index 0000000..b693a6a
Binary files /dev/null and b/统计表.docx differ