Python OpenCV处理图像之滤镜和图像运算

Python OpenCV处理图像之滤镜和图像运算处理图像之滤镜和图像运算

主要为大家详细介绍了Python OpenCV处理图像之滤镜和图像运算，具有一定的参考价值，感兴趣的小伙伴们

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本文实例为大家分享了Python OpenCV处理图像之滤镜和图像运算的具体代码，供大家参考，具体内容如下

0x01. 滤镜滤镜

喜欢自拍的人肯定都知道滤镜了，下面代码尝试使用一些简单的滤镜，包括图片的平滑处理、灰度化、二值化等：

import cv2.cv as cv

# 平滑变换

smoothed = cv.CloneImage(image)

cv.Smooth(image,smoothed,cv.CV_MEDIAN) #Apply a smooth alogrithm with the specified algorithm cv.MEDIAN

cv.ShowImage("Smoothed", smoothed)

# 均衡处理

cv.EqualizeHist(grey, grey) #Work only on grayscaled pictures

cv.ShowImage('Equalized', grey)

cv.Threshold(threshold2,threshold2, 100, 255, cv.CV_THRESH_OTSU)

cv.ShowImage("Threshold 2", threshold2)

element_shape = cv.CV_SHAPE_RECT

pos=3

element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)

cv.Dilate(grey,grey,element,2) #Replace a pixel value with the maximum value of neighboors

#There is others like Erode which replace take the lowest value of the neighborhood

#Note: The Structuring element is optionnal

cv.ShowImage("Dilated", grey)

im = cv.LoadImage("img/lena.jpg", cv.CV_LOAD_IMAGE_GRAYSCALE)

thresholded = cv.CreateImage(cv.GetSize(im), 8, 1)

def onChange(val):

cv.Threshold(im, thresholded, val, 255, cv.CV_THRESH_BINARY)

cv.ShowImage("Image", thresholded)

# 创建一个滑动条控件

onChange(100) #Call here otherwise at startup. Show nothing until we move the trackbar

cv.CreateTrackbar("Thresh", "Image", 100, 255, onChange) #Threshold value arbitrarily set to 100

im = cv.LoadImage("img/lena.jpg",3)

# 选择一块区域

cv.SetImageROI(im, (50,50,150,150)) #Give the rectangle coordinate of the selected area