IMPLEMENTATION OF IMAGE TEXTURE ANALYSIS USING GRAY LEVEL RUN LENGTH APPROACH

With the dramatic increase of imaging techniques, there is a great demand for new
approaches in texture analysis. This paper presents a new approach for texture
analysis using statistical method and gray level run length matrix (GLRLM) approach
as the second order statistics approach. The objective of this project is to develop
algorithms inMATLAB and be able to implement image texture analysis by using the
developed algorithms. This project is taken to apply statistical approach in image
analysis and classification. The method used is statistical method which is divided
into first order statistics and second order statistics. The scope of this project is
concentrated in three parts which are algorithm development and verification, image
analysis and image classification. MATLAB softwareis used as the main tools in this
project to develop both the first and second order algorithms. From this project it is
learned that statistical approach is capable in discriminating images. For future
recommendations, this approach can be tested on a medical image to widen the scope
ofpracticed for statistical implementation in texture analysis.