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OpenCV图像处理学习笔记-Day03

OpenCV图像处理学习笔记-Day03

目录

第31课：Canny边缘检测原理

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第32课：Canny函数及使用

edges = cv2.Canny(image, threshold1, threshold2)

edges  边界图像

image 原始图像

threshold1 阈值1

threshold2 阈值2

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值越大，得到边界信息越少；值越小，得到的边界信息越多

import cv2


img = cv2.imread('./img/barbara.bmp')
img_edge = cv2.Canny(img, 0, 255)

print(img_edge.shape)

cv2.imshow('original', img)
cv2.imshow('image edge', img_edge)

cv2.waitKey()
cv2.destroyAllWindows()

第33课：图像金字塔-理论基础

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第34课：pyrDown函数及使用-向下采样

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第35课：pyrUP函数及使用-向上采样

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第36课：向下取样与向上取样的可逆性研究

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第37课：拉普拉斯金字塔

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第38课：图像轮廓

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第39课：直方图的概念

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第40课：绘制直方图

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posted @ 2020-09-30 23:08  coderchen01  阅读(136)  评论(0)  编辑  收藏  举报