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IMPLEMENTATION OF IMAGE TEXTURE ANALYSIS USING GRAY LEVEL RUN LENGTH APPROACH

MOHD YAKOP, SITI HAJAR (2006) IMPLEMENTATION OF IMAGE TEXTURE ANALYSIS USING GRAY LEVEL RUN LENGTH APPROACH. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

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.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Embedded Systems
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 22 Oct 2013 11:32
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/9269

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