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2 <html xmlns="http://www.w3.org/1999/xhtml">
3 <head>
4 <title>手势识别代码分析</title>
5 <script type="text/javascript">
6 var arr = new Array("resizewindow", "init_hand_YCrCb", "init_hand_HSV", "init_laplace", "inti_threshold",
7 "hand_HSV", "init_hand_template", ‘reduce_noise‘, "hand_template_match", "hand_direction", ‘hand_contours‘
8 ,"hand_draw");
9 var selfarr = new Array("resize","ihy","ihh","ill","ith","hh",‘iht‘,‘rn‘,‘htm‘,‘hd‘,‘hc‘,‘hdr‘,‘hdr2‘);
10 //{ ‘1‘: "resizewindow", ‘2‘: "b", ‘3‘: };
11 function here(variable,selfid) {
12
13 for (var i = 0; i < arr.length; i++)
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15 var tem = arr[i];
16 document.getElementById(tem).style.display = "none";
17 }
18 for (var i = 0; i < selfarr.length; i++)
19 {
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24 var now = document.getElementById(variable);
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26 }
27
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29 </head>
30 <body style="background-color:lightblue">
31 <div>
32 <table align="left" >
33 <tr><td> int main()</td></tr>
34 <tr><td> {</td></tr>
35 <tr><td> int c = 0;</td></tr>
36 <tr><td> double scale = 0.5;</td></tr>
37 <tr><td> //打开摄像头</td></tr>
38 <tr><td> CvCapture* capture = cvCaptureFromCAM(0);</td></tr>
39 <tr><td> src = cvQueryFrame(capture);</td></tr>
40 <tr><td> //获得图像大小</td></tr>
41 <tr><td> sz = cvGetSize(src);</td></tr>
42 <tr><td> newSize.height = (int)(sz.height * scale);</td></tr>
43 <tr><td> newSize.width = (int)(sz.width * scale);</td></tr>
44 <tr><td> sz = newSize;</td></tr>
45 <tr><td> //建立所有窗体</td></tr>
46 <tr><td onclick="here(‘resizewindow‘,‘resize‘)"id="resize"> resizeAllWindow();</td></tr>
47 <tr><td> tmp1 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
48 <tr><td> tmp2 = cvCreateImage(sz,IPL_DEPTH_8U,3);</td></tr>
49 <tr><td> tmp3 = cvCreateImage(sz,IPL_DEPTH_8U,3);</td></tr>
50 <tr><td> src2 = cvCreateImage(sz,IPL_DEPTH_8U,3);</td></tr>
51 <tr><td> smooth1 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
52 <tr><td> smooth2 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
53 <tr><td> smooth3 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
54 <tr><td> smooth4 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
55 <tr><td> smooth5 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
56 <tr><td onclick="here(‘init_hand_YCrCb‘,‘ihy‘)"id="ihy"> init_hand_YCrCb();</td></tr>
57 <tr><td onclick="here(‘init_hand_HSV‘,‘ihh‘)"id="ihh"> init_hand_HSV();</td></tr>
58 <tr><td onclick="here(‘init_laplace‘,‘ill‘)"id="ill"> init_laplace();</td></tr>
59 <tr><td onclick="here(‘inti_threshold‘,‘ith‘)"id="ith"> inti_threshold();</td></tr>
60 <tr><td> //载入匹配的模板</td></tr>
61 <tr><td id="iht"onclick="here(‘init_hand_template‘,‘iht‘)"> init_hand_template();</td></tr>
62 <tr><td> src1 = cvCreateImage(sz,IPL_DEPTH_8U,3);</td></tr>
63 <tr><td> /////////////////////开始循环///////////////////////////////</td></tr>
64 <tr><td> while( c != 27)</td></tr>
65 <tr><td> {</td></tr>
66 <tr><td> //当前图像</td></tr>
67 <tr><td> src = cvQueryFrame(capture);</td></tr>
68 <tr><td> //缩小要处理的图像(减小运算量)</td></tr>
69 <tr><td> cvResize(src, src1, CV_INTER_LINEAR);</td></tr>
70 <tr><td> cvShowImage("src",src1);</td></tr>
71 <tr><td> cvPyrMeanShiftFiltering(src1, src2, pmsf_value, 40, 2);//均值漂移</td></tr>
72 <tr><td> //hsv色彩提取</td></tr>
73 <tr><td onclick="here(‘hand_HSV‘,‘hh‘)"id="hh"> hand_HSV();</td></tr>
74 <tr><td> //降噪</td></tr>
75 <tr><td id="rn"onclick="here(‘reduce_noise‘,‘rn‘)"> reduce_noise();</td></tr>
76 <tr><td> //寻找手轮廓</td></tr>
77 <tr><td id="hc"onclick="here(‘hand_contours‘,‘hc‘)"> hand_contours(smooth1);</td></tr>
78 <tr><td> //寻找匹配</td></tr>
79 <tr><td id="htm"onclick="here(‘hand_template_match‘,‘htm‘)"> hand_template_match(handT, seqMidObj);</td></tr>
80 <tr><td> //求手的移动方向</td></tr>
81 <tr><td id="hd"onclick="here(‘hand_direction‘,‘hd‘)"> hand_direction(seqMidObj);</td></tr>
82 <tr><td> //绘制额外信息</td></tr>
83 <tr><td> cvZero( tmp2 );</td></tr>
84 <tr><td onclick="here(‘hand_draw‘,‘hdr‘)"id="hdr"> hand_draw(tmp2, seqMidObj); //绘制在检测窗口</td></tr>
85 <tr><td onclick="here(‘hand_draw‘,‘hdr2‘)" id="hdr2"> hand_draw(src1, seqMidObj); //绘制在原窗口</td></tr>
86 <tr><td> //cvShowImage( "扩张腐蚀", smooth1);</td></tr>
87 <tr><td> cvShowImage( "最终识别", tmp2 );</td></tr>
88 <tr><td> cvShowImage("src",src1);</td></tr>
89 <tr><td> printf("\n");</td></tr>
90 <tr><td> c = cvWaitKey( 10);</td></tr>
91 <tr><td> }</td></tr>
92 <tr><td> cvReleaseCapture( &capture);</td></tr>
93 <tr><td> cvDestroyAllWindows();</td></tr>
94 <tr><td> return 0;</td></tr>
95 <tr><td> }</td></tr>
96
97 </table>
98 <table id="hand_draw"style="display:none;top:100px;float:left">
99 <tr><td>void hand_draw(IplImage* dst,CvSeq* hands )</td></tr>
100 <tr><td>{</td></tr>
101 <tr><td> if(!hands) return;</td></tr>
102 <tr><td> CvRect bound;</td></tr>
103 <tr><td> //凸包</td></tr>
104 <tr><td> int i, hullcount;</td></tr>
105 <tr><td> CvPoint pt0;</td></tr>
106 <tr><td> CvSeq* hull;</td></tr>
107 <tr><td> CvSeq* handp = hands;</td></tr>
108 <tr><td> //凸包缺陷</td></tr>
109 <tr><td> CvConvexityDefect* defect;</td></tr>
110 <tr><td> CvSeq* hullDefect;</td></tr>
111 <tr><td> //CvSeq* hullDefectSelect;</td></tr>
112 <tr><td> int hullDefectNum=0;</td></tr>
113 <tr><td> //cvPoint** points = (cvPoint*)malloc(sizeof(cvPoint)*3);</td></tr>
114 <tr><td> //cvPoint points[3];</td></tr>
115 <tr><td> //绘制轮廓</td></tr>
116 <tr><td> cvDrawContours( dst, handp, cvScalar(255,150,100,0),cvScalar(255,0,0,0),1, 1, 8,cvPoint(0,0));</td></tr>
117 <tr><td> </td></tr>
118 <tr><td> CvFont font;</td></tr>
119 <tr><td> //绘制检测到的数字</td></tr>
120 <tr><td> if(if_match_num){</td></tr>
121 <tr><td> </td></tr>
122 <tr><td> //外阴影</td></tr>
123 <tr><td> cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX,1.0f,1.0f,0,5,8);</td></tr>
124 <tr><td> cvPutText(dst, num_c[match_num-1], cvPoint(5, 30), &font, CV_RGB(255,255,255)); </td></tr>
125 <tr><td> //内颜色</td></tr>
126 <tr><td> cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX,1.0f,1.0f,0,2,8);</td></tr>
127 <tr><td> cvPutText(dst, num_c[match_num-1], cvPoint(5, 30), &font, CV_RGB(255,0,0));</td></tr>
128 <tr><td> }</td></tr>
129 <tr><td> </td></tr>
130 <tr><td> //绘制移动方向</td></tr>
131 <tr><td> if(1){</td></tr>
132 <tr><td> </td></tr>
133 <tr><td> //cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX,1.0f,1.0f,0,2,8);</td></tr>
134 <tr><td> //cvPutText(dst, "X: ", cvPoint(5, 30), &font, CV_RGB(255,0,0));</td></tr>
135 <tr><td> </td></tr>
136 <tr><td> }</td></tr>
137 <tr><td> //对提取出的轮廓遍历</td></tr>
138 <tr><td> for( ; handp != 0; handp = handp->h_next ){</td></tr>
139 <tr><td> </td></tr>
140 <tr><td> bound = cvBoundingRect(handp, 0);</td></tr>
141 <tr><td> //求并绘制中心点</td></tr>
142 <tr><td> //内颜色</td></tr>
143 <tr><td> int det = 2;</td></tr>
144 <tr><td> cvRectangle(dst, </td></tr>
145 <tr><td> cvPoint(hand_center.x-det, hand_center.y-det),</td></tr>
146 <tr><td> cvPoint(hand_center.x+det, hand_center.y+det), </td></tr>
147 <tr><td> CV_RGB(0,0,0),3,8,0);</td></tr>
148 <tr><td> //外轮廓</td></tr>
149 <tr><td> det = 3;</td></tr>
150 <tr><td> cvRectangle(dst, </td></tr>
151 <tr><td> cvPoint(hand_center.x-det, hand_center.y-det),</td></tr>
152 <tr><td> cvPoint(hand_center.x+det, hand_center.y+det), </td></tr>
153 <tr><td> CV_RGB(255,255,255),1,8,0);</td></tr>
154 <tr><td> //绘出外包络方框</td></tr>
155 <tr><td> cvRectangle(dst, </td></tr>
156 <tr><td> cvPoint(bound.x, bound.y),</td></tr>
157 <tr><td> cvPoint(bound.x + bound.width, bound.y + bound.height), </td></tr>
158 <tr><td> cvScalar(0,0,255,0),2,8,0);</td></tr>
159 <tr><td> //寻找凸包</td></tr>
160 <tr><td> hull = cvConvexHull2( handp, 0, CV_CLOCKWISE, 0 );</td></tr>
161 <tr><td> hullcount = hull->total;</td></tr>
162 <tr><td> //printf("凸包点数: %d ",hullcount);</td></tr>
163 <tr><td> pt0 = **CV_GET_SEQ_ELEM( CvPoint*, hull, hullcount - 1 );</td></tr>
164 <tr><td> //画凸包</td></tr>
165 <tr><td> for( i = 0; i < hullcount; i++ ){</td></tr>
166 <tr><td> //得到凸包的点</td></tr>
167 <tr><td> CvPoint pt = **CV_GET_SEQ_ELEM( CvPoint*, hull, i );</td></tr>
168 <tr><td> cvLine( dst, pt0, pt, CV_RGB( 0, 255, 0 ), 1, CV_AA, 0 );</td></tr>
169 <tr><td> pt0 = pt;</td></tr>
170 <tr><td> }</td></tr>
171 <tr><td> }</td></tr>
172 <tr><td>}</td></tr>
173
174 </table>
175 <table id="hand_direction"style="display:none;float:left">
176 <tr><td>//求手的中点和移动方向</td></tr>
177 <tr><td><br /><br /><br /><br /><br /><br /><br /><br /><br /><br />
178 <br /><br /><br /><br /><br />
179 <br /><br /><br /><br /><br />
180 <br /><br /><br /><br /><br />
181 void hand_direction(CvSeq* hand){</td></tr>
182 <tr><td> </td></tr>
183 <tr><td> //如果没有手, 则清除结果</td></tr>
184 <tr><td> if(!hand){</td></tr>
185 <tr><td> hand_center = cvPoint(0,0); </td></tr>
186 <tr><td> hand_center_last = cvPoint(0,0);</td></tr>
187 <tr><td> hand_direct_now = cvPoint(0,0);</td></tr>
188 <tr><td> hand_direct_last = cvPoint(0,0);</td></tr>
189 <tr><td> hand_direct = cvPoint(0,0); </td></tr>
190 <tr><td> return;</td></tr>
191 <tr><td> }</td></tr>
192 <tr><td> </td></tr>
193 <tr><td> hand_center_last = hand_center;</td></tr>
194 <tr><td> //获得中心点</td></tr>
195 <tr><td> CvRect bound = cvBoundingRect(hand, 0);</td></tr>
196 <tr><td> hand_center.x = bound.x + bound.width/2;</td></tr>
197 <tr><td> hand_center.y = bound.y + bound.height/2;</td></tr>
198 <tr><td> if(hand_center_last.x!=0)</td></tr>
199 <tr><td> {</td></tr>
200 <tr><td> hand_direct_now.x = hand_center.x - hand_center_last.x;</td></tr>
201 <tr><td> hand_direct_now.y = hand_center.y - hand_center_last.y;</td></tr>
202 <tr><td> </td></tr>
203 <tr><td> if(hand_direct_now.x!=0)</td></tr>
204 <tr><td> {</td></tr>
205 <tr><td> hand_direct.x = (hand_direct_now.x + hand_direct_last.x)/2;</td></tr>
206 <tr><td> if(hand_direct.x!=0){</td></tr>
207 <tr><td> printf(" X 移动: %d ",hand_direct.x);</td></tr>
208 <tr><td> }</td></tr>
209 <tr><td> </td></tr>
210 <tr><td> }</td></tr>
211 <tr><td> if(hand_direct_now.y!=0){</td></tr>
212 <tr><td> hand_direct.y = (hand_direct_now.y + hand_direct_last.y)/2;</td></tr>
213 <tr><td> if(hand_direct.y!=0){</td></tr>
214 <tr><td> printf(" Y 移动: %d ",hand_direct.y);</td></tr>
215 <tr><td> }</td></tr>
216 <tr><td> }</td></tr>
217 <tr><td> </td></tr>
218 <tr><td> }</td></tr>
219 <tr><td>}</td></tr>
220
221 </table>
222 <table id="hand_template_match"style="display:none;float:left">
223 <tr><td>//模板匹配手</td></tr>
224 <tr><td><br /><br /><br /><br /><br />
225 <br /><br /><br /><br /><br />
226 <br /><br /><br /><br /><br />
227 <br /><br /><br /><br /><br />
228 <br /><br /><br /><br /><br />
229 <br /><br /><br /><br /><br />
230 <br /><br /><br /><br /><br />
231 void hand_template_match(CvSeq* handT, CvSeq* hand){</td></tr>
232 <tr><td> int i=0;</td></tr>
233 <tr><td> int kind = -1;</td></tr>
234 <tr><td> double hu = 1;</td></tr>
235 <tr><td> </td></tr>
236 <tr><td> double hutmp;</td></tr>
237 <tr><td> CvSeq* handp = handT;</td></tr>
238 <tr><td> int method = CV_CONTOURS_MATCH_I1;</td></tr>
239 <tr><td> </td></tr>
240 <tr><td> match_num = 0;</td></tr>
241 <tr><td> if(handT==NULL){return;printf("handT==NULL!\n");}</td></tr>
242 <tr><td> if(hand==NULL){return;printf("hand==NULL!\n");}</td></tr>
243 <tr><td> for(i=0; i<handtnum; i++){</td></tr>
244 <tr><td> hutmp = cvMatchShapes(handp, hand, method, 0);</td></tr>
245 <tr><td> handp = handp->h_next;</td></tr>
246 <tr><td> </td></tr>
247 <tr><td> //找到hu矩最小的模板</td></tr>
248 <tr><td> if(hu > hutmp){</td></tr>
249 <tr><td> hu = hutmp;</td></tr>
250 <tr><td> kind = i+1;</td></tr>
251 <tr><td> }</td></tr>
252 <tr><td> </td></tr>
253 <tr><td> //printf("%f ", hu);</td></tr>
254 <tr><td> }</td></tr>
255 <tr><td> </td></tr>
256 <tr><td> //显示匹配结果</td></tr>
257 <tr><td> if(hu<((double)hmatch_value) />100){</td></tr>
258 <tr><td> printf("匹配模板: %d (%f)", kind, hu);</td></tr>
259 <tr><td> match_num = kind;</td></tr>
260 <tr><td> if_match_num = true;</td></tr>
261 <tr><td> }else{</td></tr>
262 <tr><td> if_match_num = false;</td></tr>
263 <tr><td> }</td></tr>
264 <tr><td>}</td></tr>
265
266 </table>
267 <table id="hand_contours"style="display:none;float:left">
268 <tr><td><br /><br /><br /><br /><br />
269 <br /><br /><br /><br /><br />
270 <br /><br /><br /><br /><br />
271 <br /><br /><br /><br /><br />
272 <br /><br /><br /><br /><br />
273 <br /><br /><br /><br /><br />
274 <br /><br /><br /><br /><br />
275 <br /><br /><br /><br /><br />
276 <br /><br /><br /><br /><br />
277 void hand_contours(IplImage* dst) {</td></tr>
278 <tr><td> if( g_storage==NULL ) {</td></tr>
279 <tr><td> g_storage = cvCreateMemStorage(0);</td></tr>
280 <tr><td> g_storage1 = cvCreateMemStorage(0);</td></tr>
281 <tr><td> g_storage2 = cvCreateMemStorage(0);</td></tr>
282 <tr><td> } else {</td></tr>
283 <tr><td> cvClearMemStorage( g_storage );</td></tr>
284 <tr><td> cvClearMemStorage( g_storage1 );</td></tr>
285 <tr><td> cvClearMemStorage( g_storage2 );</td></tr>
286 <tr><td> }</td></tr>
287
288 </table>
289 <table id="reduce_noise"style="display:none;float:left;top:200px">
290 <tr><td><br /><br /><br /><br /><br />
291 <br /><br /><br /><br /><br />
292 <br /><br /><br /><br /><br />
293 <br /><br /><br /><br /><br />
294 <br /><br /><br /><br /><br />
295 <br /><br /><br /><br /><br />
296 <br /><br /><br /><br /><br />
297 <br /><br /><br /><br /><br />void reduce_noise()</td></tr>
298 <tr><td>{</td></tr>
299 <tr><td> cvSmooth(hsv_mask, smooth1, CV_GAUSSIAN, 3, 0, 0, 0);</td></tr>
300 <tr><td> cvSmooth(hsv_mask, smooth1, CV_MEDIAN, 3, 0, 0, 0);</td></tr>
301 <tr><td> cvSmooth(smooth1,smooth1,CV_MEDIAN,3,0,0,0);</td></tr>
302 <tr><td> cvDilate(smooth1, smooth1, 0, 2);</td></tr>
303 <tr><td> cvShowImage( "扩张腐蚀", smooth1);</td></tr>
304 <tr><td>}</td></tr>
305
306 </table>
307 <table id="resizewindow" style="display:none;float:left" >
308 <tr><td>
309 <br /><br /><br /><br /><br />
310 <br /><br /><br /><br /><br />
311 <br /><br />
312 void resizeAllWindow()</td></tr>
313 <tr><td>{</td></tr>
314 <tr><td> cvNamedWindow("src",0);</td></tr>
315 <tr><td> cvNamedWindow( "扩张腐蚀",0);</td></tr>
316 <tr><td> cvNamedWindow( "最终识别",0);</td></tr>
317 <tr><td> cvResizeWindow("src",newSize.width,newSize.height);</td></tr>
318 <tr><td> </td></tr>
319 <tr><td> cvNamedWindow( "参数调试",0);</td></tr>
320 <tr><td> cvResizeWindow("参数调试",newSize.width*1.5,60*11);</td></tr>
321 <tr><td> cvCreateTrackbar( "均值漂移滤波", "参数调试", &pmsf_value, 20, 0 );</td></tr>
322 <tr><td> cvCreateTrackbar( "开运算降噪", "参数调试", &MopEx_value, 5, 0 );</td></tr>
323 <tr><td> cvCreateTrackbar( "色相红黄区", "参数调试", &H_low_max, 150, 0 );</td></tr>
324 <tr><td> cvCreateTrackbar( "色相蓝紫区", "参数调试", &H_high_min, 150, 0 );</td></tr>
325 <tr><td> cvCreateTrackbar( "亮度下限", "参数调试", &V_low, 100, 0 );</td></tr>
326 <tr><td> cvCreateTrackbar( "亮度上限", "参数调试", &V_high, 256, 0 );</td></tr>
327 <tr><td> </td></tr>
328 <tr><td> cvCreateTrackbar( "饱和度下限", "参数调试", &S_low, 100, 0 );</td></tr>
329 <tr><td> cvCreateTrackbar( "饱和度上限", "参数调试", &S_high, 255, 0 );</td></tr>
330 <tr><td> cvCreateTrackbar( "高光补偿", "参数调试", &if_high_light, 1, 0 );</td></tr>
331 <tr><td> cvCreateTrackbar( "match系数", "参数调试", &Hmatch_value, 50, 0 );</td></tr>
332 <tr><td>}</td></tr>
333
334 </table>
335 <table id="init_laplace"style="display:none;float:left">
336 <tr><td><br /><br /><br /><br /><br /><br /><br /><br /><br /><br />
337 <br /><br /><br /><br /><br />
338 <br /><br /><br /><br /><br />
339 <br /><br /><br /><br /><br />void init_laplace()</td></tr>
340 <tr><td>{</td></tr>
341 <tr><td> int i;</td></tr>
342 <tr><td> for( i = 0; i < 3; i++ )</td></tr>
343 <tr><td> planes[i] = cvCreateImage(newSize, 8, 1 );</td></tr>
344 <tr><td> laplace = cvCreateImage( newSize, IPL_DEPTH_16S, 1 );</td></tr>
345 <tr><td> colorlaplace = cvCreateImage( newSize, 8, 3 );</td></tr>
346 <tr><td>}</td></tr>
347
348 </table>
349 <table id="init_hand_YCrCb"style="display:none;float:left">
350 <tr><td><br /><br /><br /><br /><br />
351 <br /><br /><br /><br /><br />
352 <br /><br /><br /><br /><br />void init_hand_YCrCb()</td></tr>
353 <tr><td>{</td></tr>
354 <tr><td> img_YCrCb = cvCreateImage(sz, 8, 3);</td></tr>
355 <tr><td> YCrCb_mask = cvCreateImage(sz, IPL_DEPTH_8U, 1);;</td></tr>
356 <tr><td> /*在人脸检测中也常常用到YCrCb空间，因为一般的图像都是基于RGB空间的，
357 <br/>在RGB空间里人脸的肤色受亮度影响相当大，</td></tr>
358 <tr><td> 所以肤色点很难从非肤色点中分离出来，也就是说在此空间经过处理后，
359 <br/>肤色点是离散的点，中间嵌有很多非肤色，</td></tr>
360 <tr><td> 这为肤色区域标定(人脸标定、眼睛等)带来了难题。
361 <br/>如果把RGB转为YCrCb空间的话，可以忽略Y(亮度)的影响，</td></tr>
362 <tr><td> 因为该空间受亮度影响很小，肤色会产生很好的类聚。
363 <br/>这样就把三维的空间将为二维的CrCb，肤色点会形成一定</td></tr>
364 <tr><td> 得形状，如：人脸的话会看到一个人脸的区域，
365 <br/>手臂的话会看到一条手臂的形态，对处理模式识别很有好处，</td></tr>
366 <tr><td> 根据经验某点的CrCb值满足：133≤Cr≤173，77≤Cb≤127
367 <br/>那么该点被认为是肤色点，其他的就为非肤色点。*/</td></tr>
368 <tr><td> //最终的图片</td></tr>
369 <tr><td> YCrCb = cvCreateImage(sz, IPL_DEPTH_8U, 3);</td></tr>
370 <tr><td> //三通道</td></tr>
371 <tr><td> Y_channel = cvCreateImage(sz, IPL_DEPTH_8U, 1);</td></tr>
372 <tr><td> Cr_channel = cvCreateImage(sz, IPL_DEPTH_8U, 1);</td></tr>
373 <tr><td> Cb_channel = cvCreateImage(sz, IPL_DEPTH_8U, 1);</td></tr>
374 <tr><td> //按范围截取后</td></tr>
375 <tr><td> Y_cmp = cvCreateImage(sz, IPL_DEPTH_8U, 1);</td></tr>
376 <tr><td> Cr_cmp = cvCreateImage(sz, IPL_DEPTH_8U, 1);</td></tr>
377 <tr><td> Cb_cmp = cvCreateImage(sz, IPL_DEPTH_8U, 1);</td></tr>
378 <tr><td> //Y,Cr,Cb的颜色范围</td></tr>
379 <tr><td> Y_lower = CV_RGB(0, 0, 130);</td></tr>
380 <tr><td> Y_upper = CV_RGB(0, 0, 130);</td></tr>
381 <tr><td> Cr_lower = CV_RGB(0, 0, 125);</td></tr>
382 <tr><td> Cr_upper = CV_RGB(0, 0, 125);</td></tr>
383 <tr><td> Cb_lower = CV_RGB(0, 0, 132);</td></tr>
384 <tr><td> Cb_upper = CV_RGB(0, 0, 147);</td></tr>
385 <tr><td> YCrCb_lower = cvScalar(0, 0, 132, 0);</td></tr>
386 <tr><td> YCrCb_upper = cvScalar(130, 125, 147, 0);</td></tr>
387 <tr><td>}</td></tr>
388 </table>
389 <table id="init_hand_HSV"style="display:none;float:left">
390 <tr><td>
391 <br /><br /><br /><br /><br />
392 <br /><br /><br /><br /><br />
393 <br /><br /><br /><br /><br />
394 <br /><br /><br /><br /><br />
395 void init_hand_HSV()</td></tr>
396 <tr><td>{</td></tr>
397 <tr><td> hsv_image = cvCreateImage( sz, 8, 3);</td></tr>
398 <tr><td> hsv_mask = cvCreateImage( sz, 8, 1);</td></tr>
399 <tr><td> hsv_min = cvScalar(0, 20, 20, 0);</td></tr>
400 <tr><td> hsv_max = cvScalar(20, 250, 255, 0);</td></tr>
401 <tr><td> //hsv_mask->origin = 1;</td></tr>
402 <tr><td> //方法2: 单独处理各个通道</td></tr>
403 <tr><td> H_img = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
404 <tr><td> S_img = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
405 <tr><td> V_img = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
406 <tr><td> H_mask = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
407 <tr><td> H_mask1 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
408 <tr><td> S_mask = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
409 <tr><td> S_mask1 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
410 <tr><td> V_mask = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
411 <tr><td> V_mask2 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
412 <tr><td> V_mask1 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
413 <tr><td> </td></tr>
414 <tr><td>}</td></tr>
415
416 </table>
417 <table id="inti_threshold"style="display:none;float:left">
418 <tr><td><br/><br/><br/><br/><br/><br /><br /><br /><br /><br />
419 <br /><br /><br /><br /><br />
420 <br /><br /><br /><br /><br />
421 <br /><br /><br /><br /><br />void inti_threshold()</td></tr>
422 <tr><td>{</td></tr>
423 <tr><td> thd_src = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
424 <tr><td> thd_dst1 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
425 <tr><td> thd_dst2 = cvCreateImage(sz,IPL_DEPTH_8U,1);</td></tr>
426 <tr><td>}</td></tr>
427
428 </table>
429 <table id="hand_HSV"style="display:none;float:left">
430 <tr><td><br /><br /><br /><br /><br />
431 <br /><br /><br /><br /><br />
432 <br /><br /><br /><br /><br />
433 <br /><br /><br /><br /><br />
434 <br /><br /><br /><br /><br />
435 void hand_HSV()</td></tr>
436 <tr><td>{</td></tr>
437 <tr><td> cvCvtColor(src2, hsv_image, CV_BGR2HSV);//均值漂移之后的结果</td></tr>
438 <tr><td> //cvInRangeS (hsv_image, hsv_min, hsv_max, hsv_mask);</td></tr>
439 <tr><td> //cvShowImage( "hsv_msk", hsv_mask);</td></tr>
440 <tr><td> </td></tr>
441 <tr><td> </td></tr>
442 <tr><td> </td></tr>
443 <tr><td> //方法2: 单独处理各个通道</td></tr>
444 <tr><td> cvSplit(hsv_image,H_img,S_img,V_img,0);</td></tr>
445 <tr><td> //color_blance();</td></tr>
446 <tr><td> //cvMerge(H_img,S_img,V_img,0,hsv_image);</td></tr>
447 <tr><td> //cvShowImage( "色彩平衡后", hsv_image);</td></tr>
448 <tr><td> //cvShowImage( "H通道", H_img);</td></tr>
449 <tr><td> </td></tr>
450 <tr><td> </td></tr>
451 <tr><td> //直方图均衡化(效果更差)</td></tr>
452 <tr><td> //cvEqualizeHist(H_img, H_img);</td></tr>
453 <tr><td> </td></tr>
454 <tr><td> //cvShowImage( "H通道_均衡化", H_img);</td></tr>
455 <tr><td> //自适应</td></tr>
456 <tr><td> //cvAdaptiveThreshold(H_img, H_mask, 30, 0, 0, 3, 5);</td></tr>
457 <tr><td> </td></tr>
458 <tr><td> //cvShowImage( "H", H_img);</td></tr>
459 <tr><td> //cvShowImage( "S", S_img);</td></tr>
460 <tr><td> //cvShowImage( "V", V_img);</td></tr>
461 <tr><td> //色相</td></tr>
462 <tr><td> cvInRangeS(H_img,cvScalar(0,0,0,0),cvScalar(H_low_max,0,0,0),H_mask);//红色区</td></tr>
463 <tr><td> cvInRangeS(H_img,cvScalar(256 - H_high_min,0,0,0),cvScalar(256,0,0,0),H_mask1);//紫色区</td></tr>
464 <tr><td> //饱和度</td></tr>
465 <tr><td> cvInRangeS(S_img,cvScalar(S_low,0,0,0),cvScalar(S_high,0,0,0),S_mask); //中间区</td></tr>
466 <tr><td> //cvInRangeS(S_img,cvScalar(20,0,0,0),cvScalar(100,0,0,0),S_mask1); //低饱和度</td></tr>
467 <tr><td> //亮度</td></tr>
468 <tr><td> cvInRangeS(V_img,cvScalar(V_high,0,0,0),cvScalar(256,0,0,0),V_mask);//高亮区</td></tr>
469 <tr><td> cvInRangeS(V_img,cvScalar(V_low,0,0,0),cvScalar(V_high,0,0,0),V_mask1); //中间区</td></tr>
470 <tr><td> //cvInRangeS(V_img,cvScalar(150,0,0,0),cvScalar(250,0,0,0),V_mask2); //较亮区</td></tr>
471 <tr><td> </td></tr>
472 <tr><td> </td></tr>
473 <tr><td> //红黄, 和蓝紫的混合</td></tr>
474 <tr><td> cvOr(H_mask1, H_mask, H_mask, 0);</td></tr>
475 <tr><td> //消除饱和度过低区域</td></tr>
476 <tr><td> cvAnd(H_mask,S_mask,H_mask,0);</td></tr>
477 <tr><td> //cvShowImage( "饱和度过滤", H_mask);</td></tr>
478 <tr><td> //消去过亮过暗区域</td></tr>
479 <tr><td> cvAnd(H_mask,V_mask1,H_mask,0);</td></tr>
480 <tr><td> //cvShowImage( "亮度过滤", H_mask);</td></tr>
481 <tr><td> //cvShowImage( "hsv_msk", H_mask);</td></tr>
482 <tr><td> </td></tr>
483 <tr><td> //补偿过亮区域</td></tr>
484 <tr><td> if(if_high_light) cvOr(H_mask,V_mask,H_mask,0);</td></tr>
485 <tr><td> //cvShowImage( "补偿高光", H_mask);</td></tr>
486 <tr><td> //cvShowImage( "曝光过度 V", V_mask);</td></tr>
487 <tr><td> //cvShowImage( "曝光补偿", S_mask);</td></tr>
488 <tr><td> </td></tr>
489 <tr><td> </td></tr>
490 <tr><td> //是否补偿曝光过度</td></tr>
491 <tr><td> hsv_mask = H_mask;</td></tr>
492 <tr><td> //cvShowImage( "hsv_msk", H_mask);</td></tr>
493 <tr><td> </td></tr>
494 <tr><td>}</td></tr>
495
496 </table>
497 <table id="init_hand_template"style="display:none;float:left">
498 <tr><td><br /><br /><br /><br /><br />
499 <br /><br /><br /><br /><br />
500 <br /><br /><br /><br /><br />
501 <br /><br /><br /><br /><br />
502 void init_hand_template()</td></tr>
503 <tr><td>{</td></tr>
504 <tr><td> storage_tmp = cvCreateMemStorage(0);</td></tr>
505 <tr><td> int i = 0;</td></tr>
506 <tr><td> for(i=0; i <handtnum; i++)</td></tr>
507 <tr><td> {</td></tr>
508 <tr><td> tmp_img = cvLoadImage(tmp_names[i], CV_LOAD_IMAGE_GRAYSCALE);</td></tr>
509 <tr><td> if(!tmp_img)</td></tr>
510 <tr><td> {</td></tr>
511 <tr><td> printf("未找到文件: %s\n", tmp_names[i]);</td></tr>
512 <tr><td> continue;</td></tr>
513 <tr><td> }</td></tr>
514 <tr><td> //cvShowImage("载入模板", tmp_img);</td></tr>
515 <tr><td> handT1 = handT2;</td></tr>
516 <tr><td> cvFindContours( tmp_img, storage_tmp, &handT2, sizeof(CvContour), CV_RETR_EXTERNAL);</td></tr>
517 <tr><td> if(handT2){</td></tr>
518 <tr><td> printf("载入模板: %s 成功!\n",tmp_names[i]);</td></tr>
519 <tr><td> if(handT1 == NULL){</td></tr>
520 <tr><td> printf("载入第一个模板!\n");</td></tr>
521 <tr><td> handT = handT2;</td></tr>
522 <tr><td> }else{</td></tr>
523 <tr><td> handT2->h_prev = handT1;</td></tr>
524 <tr><td> handT1->h_next = handT2;</td></tr>
525 <tr><td> }</td></tr>
526 <tr><td> </td></tr>
527 <tr><td> }</td></tr>
528 <tr><td> </td></tr>
529 <tr><td> }</td></tr>
530 <tr><td>}</td></tr>
531
532 </table>
533 </div>
534 </body>
535 </html>
时间： 2024-10-18 11:03:37