OpenCV半小时掌握基本操作之图像梯度

# 读取图片
pie = cv2.imread("pie.jpg")

# 核
kernel = np.ones((7, 7), np.uint8)

# 计算梯度
gradient = cv2.morphologyEx(pie, cv2.MORPH_GRADIENT, kernel=kernel)

# 图片展示
cv2.imshow("gradient", gradient)
cv2.waitKey(0)
cv2.destroyAllWindows()

# 读取图片
img = cv2.imread("white.jpg")

# 核
kernel = np.ones((7, 7), np.uint8)

# 礼帽
tophat = cv2.morphologyEx(img, cv2.MORPH_TOPHAT, kernel=kernel)

# 图片展示
cv2.imshow("tophat", tophat)
cv2.waitKey(0)
cv2.destroyAllWindows()

# 读取图片
img = cv2.imread("white.jpg")

# 核
kernel = np.ones((7, 7), np.uint8)

# 礼帽
blackhat = cv2.morphologyEx(img, cv2.MORPH_BLACKHAT, kernel=kernel)

# 图片展示
cv2.imshow("blackhat", blackhat)
cv2.waitKey(0)
cv2.destroyAllWindows()

cv2.Sobel(src, ddepth, dx, dy, ksize)

# 读取图片
img = cv2.imread("pie.jpg")

# Sobel算子
sobelx = cv2.Sobel(img, -1, 1, 0, ksize=3)

# 展示图片
cv2.imshow("sobelx", sobelx)
cv2.waitKey(0)
cv2.destroyAllWindows()

# 读取图片
img = cv2.imread("pie.jpg")

# Sobel算子
sobely = cv2.Sobel(img, -1, 0, 1, ksize=3)

# 展示图片
cv2.imshow("sobely", sobely)
cv2.waitKey(0)
cv2.destroyAllWindows()

# 读取图片
img = cv2.imread("pie.jpg")

# Sobel算子
sobel = cv2.Sobel(img, -1, 1, 1, ksize=3)

# 展示图片
cv2.imshow("sobel", sobel)
cv2.waitKey(0)
cv2.destroyAllWindows()

# Sobel算子
sobelx = cv2.Sobel(img, cv2.CV_64F, 1, 0, ksize=3)
sobely = cv2.Sobel(img, cv2.CV_64F, 0, 1, ksize=3)

# 转换成绝对值
sobelx = cv2.convertScaleAbs(sobelx)
sobely = cv2.convertScaleAbs(sobely)

# 融合
sobel_xy = cv2.addWeighted(sobelx, 0.5, sobely, 0.5, 0)

# 展示图片
cv2.imshow("sobel_xy", sobel_xy)
cv2.waitKey(0)
cv2.destroyAllWindows()