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1、特征提取代码总结Code:#include #include #include using namespace std; int main( int argc, char** argv ){IplImage * src= cvLoadImage("E:\Download\test1.jpg",1); IplImage* hsv = cvCreateImage( cvGetSize(src), 8, 3 );IplImage* h_plane = cvCreateImage( cvGetSize(src)
2、, 8, 1 );IplImage* s_plane = cvCreateImage( cvGetSize(src), 8, 1 );IplImage* v_plane = cvCreateImage( cvGetSize(src), 8, 1 );IplImage* planes[] = { h_plane, s_plane }; /** H 分量划分为16个等级，S分量划分为8个等级*/int h_bins = 16, s_bins = 8;int hist_size[] = {h_bins, s_bins}; /** H 分量的变化范围*/float h_
3、ranges[] = { 0, 180 }; /** S 分量的变化范围*/float s_ranges[] = { 0, 255 };float* ranges[] = { h_ranges, s_ranges }; /** 输入图像转换到HSV颜色空间*/cvCvtColor( src, hsv, CV_BGR2HSV );cvCvtPixToPlane( hsv, h_plane, s_plane, v_plane, 0 ); /** 创建直方图，二维, 每个维度上均分*/CvHistogram * hist = cvCreateHist( 2, his
4、t_size, CV_HIST_ARRAY, ranges, 1 );/** 根据H,S两个平面数据统计直方图*/cvCalcHist( planes, hist, 0, 0 ); /** 获取直方图统计的最大值，用于动态显示直方图*/float max_value;cvGetMinMaxHistValue( hist, 0, &max_value, 0, 0 ); /** 设置直方图显示图像*/int height = 240;int width = (h_bins*s_bins*6);IplImage* hist_img = cvCreateImage(
5、cvSize(width,height), 8, 3 );cvZero( hist_img ); /** 用来进行HSV到RGB颜色转换的临时单位图像*/IplImage * hsv_color = cvCreateImage(cvSize(1,1),8,3);IplImage * rgb_color = cvCreateImage(cvSize(1,1),8,3);int bin_w = width / (h_bins * s_bins);for(int h = 0; h < h_bins; h++){for(int s = 0; s < s_bins; s+
6、+){int i = h*s_bins + s;/** 获得直方图中的统计次数，计算显示在图像中的高度*/float bin_val = cvQueryHistValue_2D( hist, h, s );int intensity = cvRound(bin_val*height/max_value); /** 获得当前直方图代表的颜色，转换成RGB用于绘制*/cvSet2D(hsv_color,0,0,cvScalar(h*180.f / h_bins,s*255.f/s_bins,255,0));cvCvtColor(hsv_color,rgb_color
7、,CV_HSV2BGR);CvScalar color = cvGet2D(rgb_color,0,0); cvRectangle( hist_img, cvPoint(i*bin_w,height),cvPoint((i+1)*bin_w,height - intensity),color, -1, 8, 0 );}} cvNamedWindow( "Source", 1 );cvShowImage( "Source", src ); cvNamedWindow( "H-S Histogram", 1 );cvShowImage( "H-S Histogram
8、", hist_img
