Contour.py
3.27 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
import cv2
import numpy as np
import numpy as np
import cv2
def FindContours(img):
imgray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
#cv2.imshow("Gray", imgray)
ret,thresh = cv2.threshold(imgray,127,255,0)
#cv2.imshow("threshold", thresh)
_,contours,hierarchy = cv2.findContours(thresh, 1, 2)
return contours
def FindCenterofMass(contours):
liste = []
area = []
centerMass = []
for i in range (0,len(contours)):
cnt = contours[i]
#print cnt
M = cv2.moments(cnt)
area.append(cv2.contourArea(cnt))
tmp = cv2.contourArea(cnt)
if (M['m00'] != 0) and (tmp > 1000):
cx = int(M['m10']/M['m00'])
cy = int(M['m01']/M['m00'])
centerMass.append((cx,cy))
else:
liste.append(i)
return liste, area, centerMass
def CleanContours(img):
contours = FindContours(img)
liste, _, _ = FindCenterofMass(contours)
for j in range (0,len(liste)):
a = liste[j]
if (a < len(contours)):
contours.pop(a)
return contours
def DrawBoundingBox(img):
contours = FindContours(img)
for cnt in contours:
x,y,w,h = cv2.boundingRect(cnt)
img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
cv2.imshow('Bounding Box', img)
return img
def DrawEnclosingCircle(img):
contours = FindContours(img)
for cnt in contours:
(x,y),radius = cv2.minEnclosingCircle(cnt)
center = (int(x),int(y))
radius = int(radius)
img = cv2.circle(img,center,radius,(0,255,0),2)
cv2.imshow('Enclosing Circle', img)
return img
def DrawContours(img, contours, titre):
img = cv2.drawContours(img, contours, -1, (0,255,0), 3)
cv2.imshow(titre, img)
return img
def DrawCenterofMass(img):
contours = FindContours(img)
_, _, centerMass = FindCenterofMass(contours)
for x, y in centerMass:
img=cv2.circle(img, (x,y), 10, (124,255,255), 1)
cv2.imshow('Center of Mass', img)
return img
def DrawArea(img):
contours = CleanContours(img)
img = cv2.drawContours(img, contours, -1, (255, 0, 0), cv2.FILLED)
cv2.imshow('Area', img)
return img
def ContourChoiceProcessing(img, choice):
if choice == '1':
contours = FindContours(img)
img = DrawContours(img, contours, 'Contours')
return img
elif choice == '2':
contours = CleanContours(img)
img = DrawContours(img, contours, 'Clean Contours')
return img
elif choice == '3':
img = DrawCenterofMass(img)
return img
elif choice == '4':
img = DrawArea(img)
return img
elif choice == '5':
img = ContourChoiceProcessing(img, '2')
img = DrawCenterofMass(img)
return img
elif choice == '6':
img = DrawArea(img)
img = DrawCenterofMass(img)
return img
elif choice == '7':
img = DrawBoundingBox(img)
return img
elif choice == '8':
img = DrawEnclosingCircle(img)
return img
else:
return
def ContourChoice():
image = None
img = None
print('\t\tContours Features Menu\n')
while (image is None):
image = str(raw_input('\tImage to use? By default couleur.png \n'))
if not image:
image = 'couleur.png'
image = cv2.imread(str(image))
print ('\t1. Contours\n\t2. Clean Contours\n\t3. Center of Mass\n\t4. Area\n\t5. Contours + Center of Mass\n\t6. Area + Center of Mass\n\t7. Bounding Box\n\t8. Enclosing Circle\n')
choix = raw_input('\n\tMultiple choices possible\n')
for i in range (0, len(choix)):
img = image.copy()
img = ContourChoiceProcessing(img, choix[i])
if img is not None:
cv2.waitKey(0)
cv2.destroyAllWindows()
return