Texture analysis of non-uniform images using GLCM

Author

Saroja, G. Arockia Selva ; Sulochana, C. Helen

Author_Institution

ECE, Noorul Islam Centre for Higher Educ., Kumaracoil, India

fYear

2013

fDate

11-12 April 2013

Firstpage

1319

Lastpage

1322

Abstract

Texture analysis finds central role in automatic inspection, medical image analysis, document processing and remote sensing. The result of deviation in illuminant direction affects the texture appearance. The images present in the universe are not uniform because of changes in scale, orientation and lighting conditions. The feature extraction of the non uniform images was done using gray level co-occurrence matrix(GLCM) for the different datasets for the non ideal images.The results showed that performance result varied with the texture datasets used.

Keywords

feature extraction; image texture; matrix algebra; GLCM; automatic inspection; document processing; feature extraction; gray level co-occurrence matrix; illuminant direction; lighting condition; medical image analysis; nonuniform images; orientation condition; remote sensing; texture analysis; texture appearance; texture datasets; Accuracy; Communications technology; Conferences; Data mining; Feature extraction; Lighting; Surface texture; Texture analysis; feature extraction; gray level cooccurrence matrix;

fLanguage

English

Publisher

ieee

Conference_Titel

Information & Communication Technologies (ICT), 2013 IEEE Conference on

Conference_Location

JeJu Island

Print_ISBN

978-1-4673-5759-3

Type

conf

DOI

10.1109/CICT.2013.6558306

Filename

6558306