Question

def adaptive_gaussian_thresholding(self, filename):
    im = cv2.imread(filename, 0)
    filtered_image = cv2.adaptiveThreshold(im, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, 3, cv2.THRESH_BINARY, 3, 0)
    cv2.imwrite(filename, filtered_image)

filtered_image = cv2.adaptiveThreshold(im, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, 3, cv2.THRESH_BINARY, 3, 0)
error: /root/opencv/modules/imgproc/src/thresh.cpp:1287: error: (-215) blockSize % 2 == 1 && blockSize > 1 in function adaptiveThreshold

块大小或平铺大小是要用于传递给过程的内核的像素数^ 2。它需要是一个奇数。我不确定这是一个错误还是别的错误？

Official documentation

Answer 1

您正在使用额外参数调用adaptiveThreshold。您在3和adaptiveMethod参数之间错误地放置了thresholdType。在您的调用中，cv2.THRESH_BINARY标志位于blockSize值的预期位置。顺便提一下，cv2.THRESH_BINARY的计算结果为零，因此您看到错误。调用函数的正确方法是：

filtered_image = cv2.adaptiveThreshold(im, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 3, 0)

Answer 2

如果您在python中为该函数调用help()，则调用需要遵循以下形式：

Help on built-in function adaptiveThreshold in module cv2:

adaptiveThreshold(...)
    adaptiveThreshold(src, maxValue, adaptiveMethod, thresholdType, blockSize, C[, dst])

您的通话中3和adaptiveMethod之间的值thresholdType应省略。

从平均值或加权平均值中减去C，可以插入值e.g. 2。

示例电话： mycall= cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,\ cv2.THRESH_BINARY, 11, 2)

Opencv python不正确的blocksize

2 个答案: