Want to do now is to a pair of images to specify a color, but it doesn't change the image texture information, how should do? Do not know how to do myself beginners opencv,, thanks

CodePudding user response:

Fyi:

 
//computing image image (s) of the histogram 
Void cvCalcHist (IplImage * * image, CvHistogram * hist, 
Int the accumulate=0, const CvArr * mask=NULL); 
Image 
//input image s (although you can also use the CvMat * *). 
Hist 
//histogram pointer 
The accumulate 
//the total logo, if set, the histogram in the beginning will not be reset, this characteristic can guarantee for multiple images to calculate a single histogram, or online update histogram, 
Mask 
//operating mask, determine which pixel of the input image is count 
//function cvCalcHist calculation of single channel and multi-channel image histogram, to increase the straight square array elements, can be extracted from the corresponding input images in the same position. The Sample calculation and display of color images of 2 d image 
 hue, saturation
# include & lt; CV. H> 
# include & lt; Highgui. H> 

Int main (int arg c, char * * argv) 
{
IplImage * SRC; 
If (arg c==2 & amp; & (src=https://bbs.csdn.net/topics/cvLoadImage (argv [1], 1)).=0) 
{
IplImage * h_plane=cvCreateImage (cvGetSize (SRC), 8, 1); 
IplImage * s_plane=cvCreateImage (cvGetSize (SRC), 8, 1); 
IplImage * v_plane=cvCreateImage (cvGetSize (SRC), 8, 1); 
IplImage * planes []={h_plane, s_plane}; 
IplImage * HSV=cvCreateImage (cvGetSize (SRC), 8, 3); 
Int h_bins=30 s_bins=32; 
Int hist_size []={h_bins, s_bins}; 
/* hue around the from 0 (0 ° ~ red) to 180 (~ 360 ° red again) */
Float h_ranges []={0, 180}; 
/* saturation around the from 0 (black - gray - white) to 255 (pure spectrum color) */
Float s_ranges []={0, 255}; 
Float * ranges []={h_ranges, s_ranges}; 
Int scale=10; 
IplImage * hist_img=cvCreateImage (cvSize (h_bins * scale, s_bins * scale), 8, 3); 
CvHistogram * hist. 
Float max_value=https://bbs.csdn.net/topics/0; 
Int h, s, 

CvCvtColor (SRC, HSV, CV_BGR2HSV); 
CvCvtPixToPlane (HSV, h_plane s_plane v_plane, 0). 
Hist=cvCreateHist (2, hist_size, CV_HIST_ARRAY, ranges, 1); 
CvCalcHist (planes, hist, 0, 0); 
CvGetMinMaxHistValue (hist, 0, & amp; Max_value, 0, 0); 
CvZero (hist_img); 

For (h=0; H & lt; H_bins; H++) 
{
For (s=0; S & lt; S_bins; S++) 
{
Float bin_val=cvQueryHistValue_2D (hist, h, s); 
Int intensity=cvRound (bin_val * 255/max_value); 
CvRectangle (hist_img, cvPoint (scale, h * s * scale), 
CvPoint ((h + 1) *, scale - 1 (s + 1) * scale - 1), 
CV_RGB (intensity, intensity, intensity),/* graw a grayscale histogram. 
If you have the idea how to do it 
Nicer let us know */
CV_FILLED); 
} 
} 

CvNamedWindow (" Source ", 1); 
CvShowImage (" Source ", SRC); 

CvNamedWindow (" H - S Histogram ", 1); 
CvShowImage (" H - S Histogram, "hist_img); 

CvWaitKey (0); 
} 
} 

CodePudding user response:

Consider first transformed into grayscale and color correction

CodePudding user response:

Dare ask the building Lord, finally USES the what's the solution?