Kristou Says

In order to access pixels, there is some ways to do that, for example:

uchar *ptr;

ptr = cvPtr2D (image, x, y);

// for 3 channels image
ptr[0] = 255; // blue
ptr[1] = 0; // red
ptr[2] = 0; // green
ptr[3] = 0; // alpha

the example above you will color your image to Blue. the same way you can read the value as:

BlueValue = ptr[0];
RedValue = ptr[1];
etc….

hope it helps somebody.

This web page is showing how to detect eyes using OpenCV’s boosted cascade of haar-like features. Source code, XML eye classifier, and sample images are available for download.

We can use the standard cvLoadImage and cvSaveImage to implement a image type converted using OpenCV library.

cvLoadImage and cvSaveImage support these image formats:
* Windows bitmaps – BMP, DIB;
* JPEG files – JPEG, JPG, JPE;
* Portable Network Graphics – PNG;
* Portable image format – PBM, PGM, PPM;
* Sun rasters – SR, RAS;
* TIFF files – TIFF, TIF.

For example, to implement JPG to TIFF converter:

IplImage* img = cvLoadImage( "blabla.jpg",1);
cvSaveImage( "blabla.tif", img );

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