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 cv2 import numpy as np # null function def nothing(x): pass Drawing = False Mode = True IX,IY = -1,-1 def 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 chanels Img = np.zeros((660,660,3),np.uint8) #create window cv2.namedWindow('Image') #create track bar, range for 0~255 cv2.createTrackbar('R','Image',0,255,nothing) cv2.createTrackbar('G','Image',0,255,nothing) cv2.createTrackbar('B','Image',0,255,nothing) #set mouse ack cv2.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 sources cv2.destroyAllWindows()
最后的效果图如下:
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