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<>问题描述
在运用分水岭分割的时候，发现该常见错误
kernel = np.ones((3, 3), np.uint8) sure_bg = cv.dilate(waterimg, kernel,
iterations=3)# 确定背景 dist = cv.distanceTransform(waterimg, cv.DIST_L2, 3)# 距离变换
ret, sure_fg = cv.threshold(dist, dist.max()*0.6, 255, 0)# 确定前景 surface_fg =
np.uint8(sure_fg) unknown = cv.subtract(sure_bg, surface_fg) ret, markers =
cv.connectedComponents(surface_fg) # markers = np.uint8(markers) markers =
markers + 1 markers[unknown == 255] = 0 waterimg[markers == -1] = 255 markers =
cv.watershed(gray, markers)
错误名称：
cv2.error: OpenCV(4.1.0)
C:\projects\opencv-python\opencv\modules\imgproc\src\segmentation.cpp:161:
error: (-215:Assertion failed) src.type() == CV_8UC3 && dst.type() == CV_32SC1
in function 'cv::watershed'
意思是该函数正在尝试将8通道的转为32通道
<>解决方法
markers = cv.watershed(img, markers)
该函数中img必须为三通道，即不能为灰度图或二值图像，可以用cvtcolor将gray2bgr，这样就不会出错了。
