methods.py 文件源码

def dif_gaus(image, lower, upper):
        lower, upper = int(lower-1), int(upper-1)
        lower = cv2.GaussianBlur(image,ksize=(lower,lower),sigmaX=0)
        upper = cv2.GaussianBlur(image,ksize=(upper,upper),sigmaX=0)
        # upper +=50
        # lower +=50
        dif = lower-upper
        # dif *= .1
        # dif = cv2.medianBlur(dif,3)
        # dif = 255-dif
        dif = cv2.inRange(dif, np.asarray(200),np.asarray(256))
        kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5,5))
        dif = cv2.dilate(dif, kernel, iterations=2)
        dif = cv2.erode(dif, kernel, iterations=1)
        # dif = cv2.max(image,dif)
        # dif = cv2.dilate(dif, kernel, iterations=1)
        return dif