[OpenCV] Adaptive threshold

AdaptiveThreshold.cpp

#include "opencv/cv.h"
#include "opencv/highgui.h"
#include <stdio.h>

//void avrg(IplImage* buf2, int tresh[16]) {
//	tresh = { };
//	for (int a = 0;a < 4;a++) {
//		for (int b = 0;b < 4;b++) {
//			for (int x = 0;x < buf2->width / 4;x++) {
//				for (int y = 0;y < buf2->height / 4;y++) {
//					tresh[a*4+b] += ((uchar)buf2->imageData[buf2->widthStep*y + buf2->widthStep*buf2->height / 4 * b + x + buf2->width / 4 * a]) / (buf2->height* buf2->width / 16);
//				}
//			}
//		}
//	}
//}
//
//void proses1(IplImage* buf1, IplImage* out) {
//	for (int x = 0;x < buf1->width;x++) {
//		for (int y = 0;y < buf1->height;y++) {
//			out->imageData[out->widthStep*y + x] = ((uchar)buf1->imageData[buf1->widthStep*y + x*3] +
//				(uchar)buf1->imageData[buf1->widthStep*y + x*3+1] +
//				(uchar)buf1->imageData[buf1->widthStep*y + x*3+2])/3;
//		}
//	}
//}
//
//void proses2(IplImage* buf2, IplImage* out, int thresh[16]) {
//	for (int a = 0;a < 4;a++) {
//		for (int b = 0;b < 4;b++) {
//			for (int x = 0;x < buf2->width/4;x++) {
//				for (int y = 0;y < buf2->height/4;y++) {
//					if ((uchar)buf2->imageData[buf2->widthStep*y+buf2->widthStep*buf2->height/4*b + x + buf2->width/4*a] < thresh[a*4+b]) {
//						out->imageData[out->widthStep*y + out->widthStep*buf2->height / 4 * b + x + buf2->width / 4 * a] = 0;
//					}
//					else {
//						out->imageData[out->widthStep*y + out->widthStep*buf2->height / 4 * b + x + buf2->width / 4 * a] = 255;
//					}
//				}
//			}
//		}
//	}
//}

void main() {
	IplImage* img;
	CvCapture* capture = cvCaptureFromCAM(0);
	cvNamedWindow("Source",1);
	cvNamedWindow("Greysc",1);
	cvNamedWindow("Trshld",1);
	for (;;) {
		img = cvQueryFrame(capture);
		int avrrg[16] = { };
		IplImage* gray1 = cvCreateImage(cvSize(img->width, img->height), 8, 1);
		IplImage* gray2 = cvCreateImage(cvSize(img->width, img->height), 8, 1);
//		proses1(img, gray1);
//		avrg(gray1, avrrg);
//		avrrg = cvMean(gray1);
//		proses2(gray1, gray2, avrrg);
		cvCvtColor(img, gray1, CV_RGB2GRAY);
		cvAdaptiveThreshold(gray1, gray2, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY, 9, 5);
		cvShowImage("Source", img);
		cvShowImage("Greysc", gray1);
		cvShowImage("Trshld", gray2);
		if (cvWaitKey(5) > 0)break;
		cvReleaseImage(&gray1);
		cvReleaseImage(&gray2);
	}
}