GLCM and its application in pattern recognition

Abstract

Grey Level Co-Occurrence matrix is one of the oldest techniques used for texture analysis. The Grey Level Co-Occurrence matrix has two important parameters i.e. distance and direction. In this paper various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on their textural features. Patterns considered in this paper are horizontally striped, vertically striped, right diagonally striped, left diagonally striped, checkered and irregular. Our proposed method has achieved a percentage accuracy of 96, 98, 96, 90, 96 and 94 for horizontally striped, vertically striped, right diagonally striped, left diagonally striped, checkered and irregular patterns respectively. Thus an overall percentage accuracy of 95 is achieved for pattern recognition using GLCM.