class_ImageProcessing.py 文件源码

def get_contour(self, arg_frame, arg_export_index, arg_export_path, arg_export_filename, arg_binaryMethod):
        # Otsu's thresholding after Gaussian filtering
        tmp = cv2.cvtColor(arg_frame, cv2.COLOR_RGB2GRAY)
        blur = cv2.GaussianBlur(tmp,(5,5),0)
        if arg_binaryMethod== 0:
            ret, thresholdedImg= cv2.threshold(blur.copy() , self.threshold_graylevel, 255 , 0)
        elif arg_binaryMethod == 1:
            ret,thresholdedImg = cv2.threshold(blur.copy(),0 ,255 ,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
        elif arg_binaryMethod== 2:
            thresholdedImg = cv2.adaptiveThreshold(blur.copy(),255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,5,0)

        result = cv2.cvtColor(thresholdedImg, cv2.COLOR_GRAY2RGB)
        ctrs, hier = cv2.findContours(thresholdedImg, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

        ctrs = filter(lambda x : cv2.contourArea(x) > self.threshold_size , ctrs)

        rects = [[cv2.boundingRect(ctr) , ctr] for ctr in ctrs]

        for rect , cntr in rects:
            cv2.drawContours(result, [cntr], 0, (0, 128, 255), 3)
        if arg_export_index:
            cv2.imwrite(arg_export_path+ arg_export_filename+'.jpg', result)
        print "Get Contour success"
        return result