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Solidity 它的计算类似于面积/凸包面积之间的比率：

#calculating area from contour
area = cv2.contourArea(unicocnt)

#calculating hull and hull area
hull = cv2.convexHull(unicocnt) 
hull_area = cv2.contourArea(hull)

#solidity
solidity = float(area)/hull_area

计算圆形图像我得到的所有值都接近 1 所以我想当我计算轮廓面积时我计算圆圈内的面积而不考虑内部是否是白色像素（轮廓是黑色的）

图片示例：https ://docs.google.com/file/d/0ByS6Z5WRz-h2b0JITFB4aHR0OWc/edit?usp=sharing

代码：

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]

#calculating area from contour
area = cv2.contourArea(unicocnt)

#calculating hull and hull area
hull = cv2.convexHull(unicocnt) 
hull_area = cv2.contourArea(hull)

#solidity
solidity = float(area)/hull_area

更新

我是这样做的：

ColoredArea = 0
for i in range(0,len(imgbnbin)):
    a = imgbnbin[i]
    for j in range (0, len(a)):
        if (cv2.pointPolygonTest(hull, unicocnt) >= 0):        
            if (getPixel(x,y) == black):
                ColoredArea = ColoredArea +1;

出现此错误：

if (cv2.pointPolygonTest(hull, unicocnt) >= 0):
TypeError: Required argument 'measureDist' (pos 3) not found
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1 回答 1

1

尝试以下算法（伪代码）：

int ColoredArea = 0;
for (x=MinX to MaxX)
   for (y=MinY to MaxY)
        if (cv2.pointPolygonTest(hull, pt(x,y)) >= 0)
           if (getPixel(x,y) == black)
               ColoredArea++;
于 2013-02-28T13:01:28.730 回答