opencv 实现的静态手势识别 进而玩剪刀石头布

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 cv2
import numpy
import time
import random
import os
def judge( ):
    #构造一个3×3的结构元素
    # return 0 stone ,1 jiandao, 2 bu
    img = 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 = 0
    area = 0 
    for i in range(result.shape[1]):
        for j in range(result.shape[0]):
            if(result[j][i]==0):
                area+=1
    for 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+=1
            width.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=0
    width_jiandao = True
    for i in range(count):
        if width[i]>45:
            #print 'bu1';
            return 2;
        if width[i]<=20 or width[i]>=40:
            width_jiandao= False
        width_length += width[i]
    if width_jiandao==True and count==2:
        return 1;
    if(area <8500):
        #print 'shi tou';
        return 0;
    print "width_leng",width_length
    if(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 = 0
        for 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+=1
                width.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=0
    width_jiandao = True
    for i in range(count):
        if width[i]>45:
            #print 'bu1';
            return 2;
        if width[i]<=20 or width[i]>=40:
            width_jiandao= False
        width_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):
        break
    if(cv2.waitKey(30)>=0):
        break
ha,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):
            break
        if(cv2.waitKey(30)>=0):
            break
    ha,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 0
    if((p1==0 and pc ==1)or(p1==1 and pc ==2)or(p1==2 and pc ==0)):
        print '你赢了\n'
        return 1
    else:
        print '你输了\n'
        return -1
def main():
    you_win=0
    pc_win=0
    print("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+=1
        elif(ans == -1):
            pc_win+=1
        print "为了减少误判，请尽可能将手占据尽可能大的框框"
main()