要想运行该代码，请确保安装了：python 2.7,opencv 2.4.9
效果如下：
算法如下：
把图片先进行处理，处理过程：
1.用膨胀图像与腐蚀图像相减的方法获得轮廓。
2.用二值化获得图像
3. 反色
经过如上的处理之后，图片为：
这之后就简单了，设计一个办法把三种图像区分开来即可。
代码如下：
# -*- coding: cp936 -*-import cv2import numpyimport timeimport randomimport osdef judge( ):#构造一个3×3的结构元素# return 0 stone ,1 jiandao, 2 buimg = cv2.imread("wif.jpg",0)element = cv2.getStructuringElement(cv2.MORPH_RECT,(11,11))dilate = cv2.dilate(img, element)erode = cv2.erode(img, element)#将两幅图像相减获得边，第一个参数是膨胀后的图像，第二个参数是腐蚀后的图像result = cv2.absdiff(dilate,erode);#上面得到的结果是灰度图，将其二值化以便更清楚的观察结果retval, result = cv2.threshold(result, 40, 255, cv2.THRESH_BINARY);#反色，即对二值图每个像素取反result = cv2.bitwise_not(result);result =cv2.medianBlur(result,23)a=[]posi =[]width =[]count = 0area = 0 for i in range(result.shape[1]):for j in range(result.shape[0]):if(result[j][i]==0):area+=1for i in range(result.shape[1]):if(result[5*result.shape[0]/16][i]==0 and result[5*result.shape[0]/16][i-1]!=0 ):count+=1width.append(0)posi.append(i)if(result[5*result.shape[0]/16][i]==0):width[count-1]+=1"""print 'the pic width is ',result.shape[1],'\n'for i in range(count):print 'the ',i,'th',' ','is';print 'width ',width[i]print 'posi ',posi[i],'\n'print count,'\n'print 'area is ',area,'\n'cv2.line(result,(0,5*result.shape[0]/16),(214,5*result.shape[0]/16),(0,0,0))cv2.namedWindow("fcuk")cv2.imshow("fcuk",result)cv2.waitKey(0)"""#判定时间width_length=0width_jiandao = Truefor i in range(count):if width[i]>45:#print 'bu1';return 2;if width[i]<=20 or width[i]>=40:width_jiandao= Falsewidth_length += width[i]if width_jiandao==True and count==2:return 1;if(area <8500):#print 'shi tou';return 0;print "width_leng",width_lengthif(width_length<35):#这个时候说明照片是偏下的，所以需要重新测定。a=[]posi =[]width =[]count = 0for i in range(result.shape[1]):if(result[11*result.shape[0]/16][i]==0 and result[11*result.shape[0]/16][i-1]!=0 ):count+=1width.append(0)posi.append(i)if(result[11*result.shape[0]/16][i]==0):width[count-1]+=1"""print 'the pic width is ',result.shape[1],'\n'for i in range(count):print 'the ',i,'th',' ','is';print 'width ',width[i]print 'posi ',posi[i],'\n'print count,'\n'print 'area is ',area,'\n'"""width_length=0width_jiandao = Truefor i in range(count):if width[i]>45:#print 'bu1';return 2;if width[i]<=20 or width[i]>=40:width_jiandao= Falsewidth_length += width[i]if width_jiandao==True and count==2:return 1;if(area>14000 or count>=3):#print 'bu2';return 2;if(width_length<110):#print 'jian dao';return 1;else:#print 'bu3';return 2;"""print("这是通过摄像头来玩的剪刀石头布的游戏，输入y开始\n")s = raw_input()capture = cv2.VideoCapture(0)cv2.namedWindow("camera",1)start_time = time.time()print("给你5秒的时间把手放到方框的位置\n")while(s=='y' or s=='Y'):ha,img =capture.read()end_time = time.time()cv2.rectangle(img,(426,0),(640,250),(170,170,0))cv2.putText(img,str(int((5-(end_time- start_time)))), (100,100), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)cv2.imshow("camera",img)if(end_time-start_time>5):breakif(cv2.waitKey(30)>=0):breakha,img = capture.read()capture.release()cv2.imshow("camera",img)img = img[0:210,426:640]cv2.imwrite("wif.jpg",img)judge() cv2.waitKey(0)print "fuck""""def game():fuck =[]fuck.append("石头")fuck.append("剪刀")fuck.append("布")capture = cv2.VideoCapture(0)cv2.namedWindow("camera",1)start_time = time.time()print("给你5秒的时间把手放到方框的位置\n")while(1):ha,img =capture.read()end_time = time.time()cv2.rectangle(img,(426,0),(640,250),(170,170,0))cv2.putText(img,str(int((5-(end_time- start_time)))), (100,100), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)cv2.imshow("camera",img)if(end_time-start_time>5):breakif(cv2.waitKey(30)>=0):breakha,img = capture.read()capture.release()cv2.imshow("camera",img)img = img[0:210,426:640]cv2.imwrite("wif.jpg",img)p1 = judge()pc = random.randint(0,2)#print p1,' ',pc,'\n'print "你出的是",fuck[p1]," 电脑出的是",fuck[pc],"\n"cv2.destroyAllWindows()if(p1==pc):print "平局\n"return 0if((p1==0 and pc ==1)or(p1==1 and pc ==2)or(p1==2 and pc ==0)):print '你赢了\n'return 1else:print '你输了\n'return -1def main():you_win=0pc_win=0print("这是通过摄像头来玩的剪刀石头布的游戏，请输入回车开始游戏\n")s = raw_input()while(1):print "比分(玩家：电脑) ",you_win,":",pc_win,'\n's = raw_input()os.system('cls')ans =game()if(ans == 1):you_win+=1elif(ans == -1):pc_win+=1print "为了减少误判，请尽可能将手占据尽可能大的框框"main()
如果觉得《opencv 实现的静态手势识别 进而玩剪刀石头布》对你有帮助，请点赞、收藏，并留下你的观点哦！
