我如何知道从“查找轮廓”功能获取的轮廓在 opencv 中是打开还是关闭?
更新
我尝试将 isContourConvex 应用于此图像:https ://docs.google.com/file/d/0ByS6Z5WRz-h2RXdzVGtXUTlPSGc/edit?usp=sharing
i 提取面积最大的轮廓并返回 false。我改变,也许,轮廓提取,扩张?
nomeimg = 'Riscalate2/JPEG/e (5).jpg'
img = cv2.imread(nomeimg)
gray = cv2.imread(nomeimg,0)#convert grayscale adn binarize
element = cv2.getStructuringElement(cv2.MORPH_CROSS,(6,6))
graydilate = cv2.erode(gray, element) #imgbnbin
cv2.imshow('image',graydilate)
cv2.waitKey(0)
ret,thresh = cv2.threshold(graydilate,127,255,cv2.THRESH_BINARY_INV) # binarize
imgbnbin = thresh
cv2.imshow('bn',thresh)
cv2.waitKey()
#element = cv2.getStructuringElement(cv2.MORPH_CROSS,(2,2))
#element = np.ones((11,11),'uint8')
contours, hierarchy = cv2.findContours(imgbnbin, cv2.RETR_TREE ,cv2.CHAIN_APPROX_SIMPLE)
print(len(contours))
# Take only biggest contour basing on area
Areacontours = list()
calcarea = 0.0
unicocnt = 0.0
for i in range (0, len(contours)):
area = cv2.contourArea(contours[i])
#print("area")
#print(area)
if (area > 90 ): #con 90 trova i segni e togli puntini
if (calcarea<area):
calcarea = area
unicocnt = contours[i]
convex = cv2.isContourConvex(unicocnt)
print("convex")
print(convex)