opencv for python 之 简单的图像变化

import cv2.cv as cv

#load image

filename = "../Video/cat.jpg"

image = cv.LoadImage(filename)

#set created image

size = cv.GetSize(image)#(100, 100)

depth = 8

channels = 1

灰度处理

grey = cv.CreateImage(size, depth, channels)#create one 100x100 single channels image

cv.CvtColor(image, grey, cv.CV_BGR2GRAY)

光滑去噪，使图像上剧烈变化的地方过度平滑，即让图像上不同颜色之间分界线模糊

smooth = cv.CreateImage(size, depth, channels)

cv.Smooth(grey, smooth, cv.CV_MEDIAN)

均衡化操作：统计一个图像的像素值，绘制成一个直方图，然后均衡化（均衡化印象中就是让直方图分布更接近正态分布）

equalize = cv.CreateImage(size, depth, channels)

cv.Smooth(grey, equalize)

拉普拉斯操作：可以把图像中的轮廓突出出来

Laplace = cv.CreateImage(size, depth, channels)#create one 100x100 single channels image

cv.CvtColor(image, Laplace, cv.CV_BGR2GRAY)

dst_16s2 = cv.CreateImage(size, cv.IPL_DEPTH_16S, 1)

cv.Laplace(Laplace, dst_16s2)

cv.Convert(dst_16s2, Laplace)

#create a window

win_name1 = "grey"

win_name2 = "smooth"

win_name3 = "equalize"

win_name4 = "Laplace"

cv.NamedWindow(win_name1)

cv.NamedWindow(win_name2)

cv.NamedWindow(win_name3)

cv.NamedWindow(win_name4)

#cv.NamedWindow(win_name5)

cv.ShowImage(win_name1, grey)

cv.ShowImage(win_name2, smooth)

cv.ShowImage(win_name3, equalize)

cv.ShowImage(win_name4, Laplace)

cv.WaitKey()

灰度结果



光滑去噪



直方图均衡化结果



拉普拉斯操作结果