OpenCV半小时掌握基本操作之角点检测

cv2.cornerHarris(src, blockSize, ksize, k, dst=None, borderType=None)

import numpy as np
import cv2

# 读取图片
image = cv2.imread("house.jpg")

# 转换成灰度图
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# harris角点检测
harris = cv2.cornerHarris(image_gray, 2, 3, 0.04)

# 阈值转换原图
image_corner = image.copy()
image_corner[harris > 0.01 * harris.max()] = [0, 0, 255]

# 整合
combine = np.hstack((image, image_corner))

# 图片展示
cv2.imshow("origional vs corner detection", combine)
cv2.waiTKEy(0)
cv2.destroyAllwindows()

# 保存结果
cv2.imwrite("harris.jpg", combine)

import numpy as np
import cv2

# 读取图片
image = cv2.imread("house2.jpg")

# 转换成灰度图
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# harris角点检测
harris = cv2.cornerHarris(image_gray, 2, 3, 0.04)

# 阈值转换原图
image_corner = image.copy()
image_corner[harris > 0.1 * harris.max()] = [0, 0, 255]

# 整合
combine = np.hstack((image, image_corner))

# 图片展示
cv2.imshow("origional vs corner detection", image_corner)
cv2.waitKey(0)
cv2.destroyAllWindows()

# 保存结果
cv2.imwrite("harris.jpg", combine)