opencv部分基础操作：变灰，模糊(高斯模糊)，边缘检测，膨胀，缩放，剪裁

说明一下，所有代码需要：基础代码（通用）+ 关键代码才能运行。请自行结合

基础代码

import cv2 as cv
# 读路径下的图片
img = cv.imread("./cat.jpg")
# 在窗口显示
cv.imshow("color", img)
cv.waitKey(0)

关键代码

展示变灰图片

# 变灰
grey = cv.cvtColor(src=img, code=cv.COLOR_BGR2GRAY)
cv.imshow('gray', grey)

效果

模糊(高斯模糊)

blur = cv.GaussianBlur(img,(5,5),cv.BORDER_DEFAULT)
cv.imshow("blur", blur)

效果

边缘检测

canny = cv.Canny(img, threshold1=100, threshold2=200)
cv.imshow("canny", canny)

效果

膨胀

dilated = cv.dilate(src=canny, kernel=(10,10), iterations=1)
cv.imshow("dilated", dilated)

效果

缩放

sized = cv.resize(img, dsize=(100,100), interpolation=cv.INTER_CUBIC)
cv.imshow("size", sized)

效果

裁剪

cropped = img[50:250, 50:250]
cv.imshow("croppred", cropped)

效果

完整代码

import cv2 as cv
# 读路径下的图片
img = cv.imread("./cat.jpg")

# 变灰
# grey = cv.cvtColor(src=img, code=cv.COLOR_BGR2GRAY)
# cv.imshow('gray', grey)
# 模糊
# blur = cv.GaussianBlur(img,(5,5),cv.BORDER_DEFAULT)
# cv.imshow("blur", blur)
# 边缘检测
canny = cv.Canny(img, threshold1=100, threshold2=200)
# cv.imshow("canny", canny)
# 膨胀
# dilated = cv.dilate(src=canny, kernel=(10,10), iterations=1)
# cv.imshow("dilated", dilated)
# 缩放
# sized = cv.resize(img, dsize=(100,100), interpolation=cv.INTER_CUBIC)
# cv.imshow("size", sized)
# 剪裁
cropped = img[50:250, 50:250]
cv.imshow("croppred", cropped)
cv.imshow("color", img)
cv.waitKey(0)