Python图像处理之简单画板实现方法

本文实例讲述了Python图像处理之简单画板实现方法。分享给大家供大家参考，具体如下：

Python图像处理也是依赖opencv的Python接口实现的，Python语言简单易懂，简洁明了。本次实现画板涂鸦，一个是在里面画矩形，还有画线。其他也都可以扩展，本案例只做例程，思路是对鼠标事件的处理，以及滚动条调节颜色处理。鼠标事件就包含有左键按下，以及释放事件的处理。

import cv2import numpy as np# null functiondef nothing(x):  passDrawing = FalseMode = TrueIX,IY = -1,-1def drawCircle(Event,X,Y,Flags,Param):  R = cv2.getTrackbarPos('R','Image')  G = cv2.getTrackbarPos('G','Image')  B = cv2.getTrackbarPos('B','Image')#get color value  Color = (B,G,R);  global IX,IY,Drawing,Mode  if Event == cv2.EVENT_LBUTTONDOWN:    Drawing = True    IX,IY = X,Y  elif Event == cv2.EVENT_MOUSEMOVE and Flags == cv2.EVENT_FLAG_LBUTTON:    if Drawing == True:      if Mode == True:        cv2.rectangle(Img,(IX,IY),(X,Y),Color,-1)      else:        cv2.circle(Img,(X,Y),3,Color,-1);  elif Event == cv2.EVENT_LBUTTONUP:    Drawing = False#create image with 3 chanelsImg = np.zeros((660,660,3),np.uint8)#create windowcv2.namedWindow('Image')#create track bar, range for 0~255cv2.createTrackbar('R','Image',0,255,nothing)cv2.createTrackbar('G','Image',0,255,nothing)cv2.createTrackbar('B','Image',0,255,nothing)#set mouse ackcv2.setMouseCallback('Image',drawCircle)while(1):  cv2.imshow('Image',Img)  k = cv2.waitKey(10)&0xFF  #switch draw mode  if k == ord('m'):    Mode = not Mode  elif k == 27:    break#you must destroy all of sourcescv2.destroyAllWindows()

最后的效果图如下：

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