DocumentCode :
618495
Title :
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
Link To Document :
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