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at February 6, 2016 08:43 by michaelhecht
Initial Code
import cv2 import numpy as np #=================================================================== def getObjects(contours,hierarchy): objs = [] # wichtig wg. Reihenfolge beim plotten keys = {} for i in xrange(len(contours)): h = hierarchy[0][i][3] a = cv2.contourArea(contours[i]) if h==-1: keys[i] = len(objs) objs.append({'out':contours[i],'in':None,'area':a,'id':i}) else: if keys.has_key(h): k = keys[h] objs[k]['in'] = contours[i] objs[k]['area'] -= a else: keys[i] = len(objs) objs.append({'out':contours[i],'in':None,'area':a,'id':i}) return objs #=================================================================== def drawObjects(img,objs,color): themask = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)*0 for o in objs: cv2.drawContours(themask, [o['out']], -1, 255, -1,lineType=cv2.CV_AA) if o.has_key('in'): cv2.drawContours(themask, [o['in']], -1, 0, -1,lineType=cv2.CV_AA) colored = img.copy() cv2.rectangle(colored,(0,0),(colored.shape[1],colored.shape[0]),color,-1) colored = cv2.bitwise_and(colored,colored,mask = themask) img_masked = cv2.add(img,colored) return img_masked #=================================================================== img = cv2.imread('3circ.jpg') gray = 255-cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) ret,thresh = cv2.threshold(gray,127,255,cv2.THRESH_BINARY) contours,hierarchy = cv2.findContours(thresh,cv2.RETR_TREE, cv2.CHAIN_APPROX_TC89_KCOS) for i in xrange(len(hierarchy[0])): print i,":",hierarchy[0][i] objs = getObjects(contours,hierarchy) img1 = img.copy() for o in objs: img1 = drawObjects(img1,[o],(0,200,0)) x,y,w,h = cv2.boundingRect(o['out']) text = "A[%i]=%.0f" % (o['id'],o['area']) cv2.putText(img1,text,(x,y),cv2.FONT_HERSHEY_SIMPLEX,1,(200,0,200),2,lineType=cv2.CV_AA) all = np.concatenate((img,img1), axis=0) cv2.imshow('result',all) cv2.imwrite("3circmasked.jpg",all) cv2.waitKey(0) cv2.destroyAllWindows()
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OpenCV object detection
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detect and measure nested objects with opencv (public)
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Python