first change

temp.py

+# -*- coding: utf-8 -*-
+"""
+Spyder Editor
+
+This is a temporary script file.
+"""
+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+import math
+
+img = cv2.imread('piece5.jpeg',0)
+#cv2.imshow('image',img)
+img=cv2.blur(img,(10,10))
+
+edges = cv2.Canny(img,10,20)
+#cv2.imshow('Canny',edges)
+#cv2.waitKey(0)
+#cv2.destroyALLWindows()
+
+[m,n]=img.shape
+
+Gx=np.zeros((m-1,n-1))
+Gy=np.zeros((m-1,n-1))
+
+G=np.zeros((m-1,n-1))
+
+theta=np.zeros((m-1,n-1))
+
+#calcul le gradient
+for i in range(m-1):
+    for j in range(n-1):
+        Gx[i,j]=img[i,j+1]-img[i,j]
+        Gy[i,j]=img[i+1,j]-img[i,j]
+        G[i,j]=math.sqrt(Gy[i,j]*Gy[i,j]+Gx[i,j]*Gx[i,j])
+        theta[i,j]=math.atan(Gy[i,j]/(Gx[i,j]+0.0001))#direction de gradient
+        if (G[i,j]<3):
+            img[i,j]=0
+#cv2.imshow('gra',img)
+
+#supression des non-max on trouve img2
+#division en 4 directions:
+img2=img.copy()
+for i in range(1,m-1):
+    for j in range(1,n-1):
+        if theta[i,j]>=3/8*math.pi:
+            theta[i,j]=0
+            if (img[i,j]<=img[i+1,j] or img[i,j]<=img[i-1,j]):
+                img2[i,j]=0
+        elif theta[i,j]>=1/8*math.pi:
+            theta[i,j]=1
+            if (img[i,j]<=img[i+1,j+1] or img[i,j]<=img[i-1,j-1]):
+                img2[i,j]=0
+        elif theta[i,j]>=-1/8*math.pi:
+            theta[i,j]=2
+            if (img[i,j]<=img[i,j+1] or img[i,j]<=img[i,j-1]):
+                img2[i,j]=0
+        else:
+            theta[i,j]=3
+            if (img[i,j]<=img[i+1,j-1] or img[i,j]<=img[i-1,j+1]):
+                img2[i,j]=0
+#cv2.imshow('image',img2)
+
+#seuillage de contour:
+a=30
+b=100
+img3=img2.copy()
+img4=img2.copy()
+for i in range(0,m-1):
+    for j in range(0,n-1):
+        if (G[i,j]<10):
+            img3[i,j]=0
+            #print (G[i,j])
+        if (G[i,j]<20):
+            img4[i,j]=0
+            
+def findline(img3,img4,m,n,flag):
+    m1=m+1
+    n1=n+1
+    while (m!=m1 or n!=n1):
+        flagg=0
+        for i in range (1,4):
+            if (flagg==1):
+                break
+            for j in range(1,4):
+                if (img3[m-2+i,n-2+j]!=0):
+                    img4[m-2+i,n-2+j]=img3[m-2+i,n-2+j]
+                    m1=m-2+i
+                    n1=n-2+j
+                    flag[m,n]=1
+                    flagg=1
+        m=m1
+        n=n1
+        
+[a,b]=img3.shape
+flag=np.zeros((a,b))
+for i in range (2,a-1):
+    for j in range (2,a-1):
+        if (img4[i,j]!=0 and flag[i,j]==0):
+            findline(img3,img4,i,j,flag)
+   
+    
+for i in range (a):
+    for j in range (b):
+        if (img4[i,j]!=0):
+            img4[i,j]=255
+
+            
+
+cv2.circle(edges,(113,114),108,(255,255,255),3)
+cv2.imshow('canny',edges)
+
+
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
+def find_circle(img,a,b):
+
+    [m,n]=img.shape
+
+ 
+    C_x = 0
+    C_y = 0
+    R = range(a,b,2)
+    img5 = img.copy()
+    test = np.zeros((m,n,len(R)))
+    for r in range(0,len(R)):
+        for i in range(0,m):
+            for j in range(0,n):
+                if img5[i,j] != 0:
+                    #print(1)
+                    for theta in range(0,360):
+                        C_x = i + int(R[r]*math.sin((theta/180)*math.pi))
+                        C_y = j + int(R[r]*math.cos((theta/180)*math.pi))
+                        if (C_x<m and C_y<n):
+                            test[C_x,C_y,r] += 1
+    test1 = test.copy()
+    compte1 = []
+    compte2 = []
+    compte3 = []
+    big = 0
+    for c in range(0,3):
+        big = np.amax(test1)
+        for i in range(0,m):
+            for j in range(0,n):
+                for r in range(0,len(R)):
+                    if test1[i,j,r] == big:
+                        compte1.append(i)
+                        compte2.append(j)
+                        compte3.append(R[r])
+                        test1[i,j,r] = 0
+    Rt=np.amax(compte3)
+    for (i in range 3):
+        if (compte3[i]==R):
+            xt=compte1[i]
+            yt=compte2[i]
+        
+#print(compte)
+   
+  
+#x=np.argmax(test)
+
+
+#cv2.circle(img4,(120,120),120)
+
+#hough transform"""
+
+
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