GRAY LEVEL-GRADIENT COOCCURRENCE MATRIX TEXTURE ANALYSIS METHOD

In this paper a gray level-gradient cooccurrence matrix model is presented for the texture analysis and discrimination of an image. And 15 texture parameters are calculated by using this model for each image. The success rate is 77.8 percent by using these texture parameters on a set of 482 samples for classifying five types of white blood cell.