OpenCV来控制鼠标移动

之前的日志“VS2005下配置OpenCV2.1”里介绍了如何在VS2005里安装OpenCV2.1，下面这篇日志里就介绍了下如何使用CV来控制鼠标移动。代码和AutoCamShift例子里的差不多，只是我进行了许多代码的删减以及我添加稍许注释，另外就是补充了::SetCursorPos(_x,_y)函数。

不太多说废话，C++代码如下：

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001#include "cv.h"

002#include "highgui.h"

003#include

004#include

005 

006//基本的图像指针

007IplImage *image = 0

008, *hsv = 0

009, *hue = 0

010, *mask = 0

011, *backproject = 0

012, *histimg = 0;

013 

014//用于直方图

015CvHistogram *hist = 0;

016 

017//用于判断

018int select_object = 0;

019int track_object = 0;

020int cursor_object=0;

021 

022//用于鼠标选择区域

023CvPoint origin;

024CvRect selection;

025 

026//CAMSHIFT算法用到

027CvRect track_window;

028CvBox2D track_box;

029CvConnectedComp track_comp;

030 

031// 划分HIST的个数，越高越精确

032int hdims = 48;   

033 

034//设置HSV的范围（0-180）

035float hranges_arr[] = {0,180};

036float* hranges = hranges_arr;

037 

038void on_mouse( int event, int x, int y, int flags,void* param)

039{

040    if( !image )

041        return;

042 

043    if( image->origin )

044        y = image->height - y;

045 

046    //左键按下时 select_object=1

047    //右键按下时 select_object=0

048    if( select_object )

049    {

050        selection.x = MIN(x,origin.x);

051        selection.y = MIN(y,origin.y);

052        selection.width = selection.x + CV_IABS(x - origin.x);

053        selection.height = selection.y + CV_IABS(y - origin.y);

054 

055        selection.x = MAX( selection.x, 0 );

056        selection.y = MAX( selection.y, 0 );

057        selection.width = MIN( selection.width, image->width );

058        selection.height = MIN( selection.height, image->height );

059        selection.width  -= selection.x;

060        selection.height -= selection.y;

061 

062    }

063 

064    switch( event )

065    {

066    case CV_EVENT_LBUTTONDOWN:

067        origin = cvPoint(x,y);

068        selection = cvRect(x,y,0,0);

069        select_object = 1;

070        break;

071    case CV_EVENT_LBUTTONUP:

072        select_object = 0;

073        if( selection.width > 0 && selection.height > 0 )

074            track_object = -1;

075#ifdef _DEBUG

076        printf("/n # 鼠标的选择区域：");

077        printf("/n   X = %d, Y = %d, Width = %d, Height = %d",

078            selection.x, selection.y, selection.width, selection.height);

079#endif

080        break;

081    }

082}

083 

084//画直方图里用到。HSV---->RGB，返回cvScalar。

085CvScalar hsv2rgb( float hue )

086{

087    int rgb[3], p, sector;

088    static const int sector_data[][3]=

089    {{0,2,1}, {1,2,0}, {1,0,2}, {2,0,1}, {2,1,0}, {0,1,2}};

090    hue *= 0.033333333333333333333333333333333f;

091    sector = cvFloor(hue);

092    p = cvRound(255*(hue - sector));

093    p ^= sector & 1 ? 255 : 0;

094 

095    rgb[sector_data[sector][0]] = 255;

096    rgb[sector_data[sector][1]] = 0;

097    rgb[sector_data[sector][2]] = p;

098 

099#ifdef _DEBUG

100    printf("/n # Convert HSV to RGB：");

101    printf("/n   HUE = %f", hue);

102    printf("/n   R = %d, G = %d, B = %d", rgb[0],rgb[1],rgb[2]);

103#endif

104 

105    return cvScalar(rgb[2], rgb[1], rgb[0],0);

106}

107 

108int main( int argc, char** argv )

109{

110    CvCapture* capture = 0;

111    IplImage* frame = 0;

112 

113    capture = cvCaptureFromCAM(0);

114 

115    int frameH    = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT);

116    int frameW    = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH);

117 

118    if( !capture )

119    {

120        fprintf(stderr,"Could not initialize capturing.../n");

121        return -1;

122    }

123 

124    cvNamedWindow( "CamShiftDemo", 1 );

125    cvSetMouseCallback( "CamShiftDemo", on_mouse, NULL );

126 

127    for(;;)

128    {

129        int bin_w,ori_x,i,c;       

130 

131        ori_x=selection.x+(selection.width/2);

132 

133        frame = cvQueryFrame( capture );

134        if( !frame )

135            break;

136 

137        if( !image )

138        {

139            image = cvCreateImage( cvGetSize(frame), 8, 3 );

140            image->origin = frame->origin;

141 

142            hsv               = cvCreateImage( cvGetSize(frame), 8, 3 );

143            hue               = cvCreateImage( cvGetSize(frame), 8, 1 );

144            mask            = cvCreateImage( cvGetSize(frame), 8, 1 );

145            backproject = cvCreateImage( cvGetSize(frame), 8, 1 );

146            histimg         = cvCreateImage( cvSize(320,200), 8, 3 );

147            cvZero( histimg );

148 

149            hist = cvCreateHist( 1, &hdims, CV_HIST_ARRAY, &hranges, 1 );  // 计算直方图

150 

151        }

152 

153        cvCopy(frame, image, 0 );

154        cvCvtColor( image, hsv, CV_BGR2HSV );  // 彩色空间转换 BGR to HSV

155 

156        if( track_object )

157        {

158            int _vmin = 10;

159            int _vmax = 256;

160 

161            cvInRangeS( hsv,

162                cvScalar(0,30,MIN(_vmin,_vmax),0),

163                cvScalar(180,256,MAX(_vmin,_vmax),0),

164                mask );  // 得到二值的MASK

165 

166            cvSplit( hsv, hue, 0, 0, 0 );  // 只提取 HUE 分量

167 

168            if( track_object < 0 )

169            {

170                float max_val = 0.f;

171                cvSetImageROI( hue, selection );  // 得到选择区域 for ROI

172                cvSetImageROI( mask, selection ); // 得到选择区域 for mask

173                cvCalcHist( &hue, hist, 0, mask ); // 计算直方图

174                cvGetMinMaxHistValue( hist, 0, &max_val, 0, 0 );  // 只找最大值

175                cvConvertScale( hist->bins, hist->bins, max_val ? 255. / max_val : 0., 0 ); // 缩放 bin 到区间 [0,255]

176                cvResetImageROI( hue );  // remove ROI

177                cvResetImageROI( mask );

178                track_window = selection;

179                track_object = 1;

180 

181                cvZero( histimg );

182 

183                bin_w= histimg->width / hdims;  // hdims: 条的个数，则 bin_w 为条的宽度

184 

185                // 画直方图

186                for(i = 0; i < hdims; ++i)

187                {

188                    int val = cvRound( cvGetReal1D(hist->bins,i)*histimg->height/255 );//cvRound一种舍入的方法把浮点数转为整形

189 

190                    CvScalar color = hsv2rgb(i*180.f/hdims);

191                    cvRectangle(histimg,

192                        cvPoint(i*bin_w,histimg->height),//矩形左下角

193                        cvPoint((i+1)*bin_w,histimg->height - val),//矩形右上角

194                        color,

195                        -1,

196                        8,

197                        0 );

198                }

199            }

200 

201            // 使用back project方法计算hue的反向投影

202            cvCalcBackProject( &hue, backproject, hist ); 

203 

204            cvAnd( backproject, mask, backproject, 0 );

205 

206            // CAMSHIFT算法

207            cvCamShift( backproject,  //目标直方图的反向投影

208                track_window,//初始搜索窗口

209                cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),//窗口搜索停止的准则

210                &track_comp, //象素点的和

211                &track_box );

212 

213            //改变光标

214            if(cursor_object)

215            {

216                int _x=track_box.center.x/frameW*1280;

217                int _y=track_box.center.y/frameH*800;

218                ::SetCursorPos(_x,_y);

219            }

220 

221            //新旧交替

222            track_window = track_comp.rect;

223 

224            if( image->origin )

225                track_box.angle = -track_box.angle;

226 

227            //绘制椭圆

228            cvEllipseBox(image, track_box, CV_RGB(255,0,0), 3, CV_AA, 0 );

229 

230        }

231 

232        if( select_object && selection.width > 0 && selection.height > 0)

233        {

234            cvSetImageROI( image, selection );//基于给定的值设置感兴趣通道

235            cvXorS( image, cvScalarAll(255), image, 0 );//计算数组元素与数量之间的按位异或

236            cvResetImageROI( image );//释放图像的ROI

237        }

238 

239        cvShowImage( "CamShiftDemo", image );

240        cvShowImage( "Histogram", histimg );

241 

242        c=cvWaitKey(10);

243        if( (char) c == 27 )

244            break;

245        switch( (char) c )

246        {

247        case 'm':

248            if(cursor_object)

249                cursor_object=0;

250            else

251               cursor_object=1;

252            break;

253        default:

254            ;

255        }

256 

257    }

258 

259    cvReleaseCapture( &capture );

260    cvDestroyWindow("CamShiftDemo");

261 

262    return 0;

263}

整个代码里只控制了鼠标的移动，可是如何模仿鼠标的单击和双击以及右键呢？~如果你有思路希望你可以告诉我，共同探讨一下。

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