NDLI: Image Texture Feature Extraction Method Based on Regional Average Binary Gray Level Difference Co-occurrence Matrix

Content Provider	IEEE Xplore Digital Library
Author	Jian Yang Jingfeng Guo
Copyright Year	2011
Abstract	Texture feature is a measure method about relationship among the pixels in local area, reflecting the changes of image space gray levels. This paper presents a texture feature extraction method based on regional average binary gray level difference co-occurrence matrix, which combined the texture structural analysis method with statistical method. Firstly, we calculate the average binary gray level difference of eight-neighbors of a pixel to get the average binary gray level difference image which expresses the variation pattern of the regional gray levels. Secondly, the regional co-occurrence matrix is constructed by using these average binary gray level differences. Finally, we extract the second-order statistic parameters reflecting the image texture feature from the regional co-occurrence matrix. Theoretical analysis and experimental results show that the image texture feature extraction method has certain accuracy and validity.
Starting Page	239
Ending Page	242
File Size	446837
Page Count	4
File Format	PDF
ISBN	9781457721564
DOI	10.1109/ICVRV.2011.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image texture Correlation Statistical analysis Average binary gray level difference Regional co-occurrence matrix Brightness Feature extraction Entropy Texture feature parameters Texture feature Joints
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

BASED ON GRAY LEVEL CO-OCCURRENCE MATRIX

Texture feature extraction of steel strip surface defect based on gray level co-occurrence matrix

Texture information fusion based image classification

Co-occurrence Matrix and statistical features as an approach for mass classification

Preliminary results of breast cancer cell classifying based on gray-level co-occurrence matrix

Feature Extraction of Human Viruses Microscopic Images Using Gray Level Co-occurrence Matrix

Texture image retrieval based on gray-primitive co-occurrence matrix

Face Recognition Based on Euclidean Distance and Texture Features

A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm

Image Texture Feature Extraction Method Based on Regional Average Binary Gray Level Difference Co-occurrence Matrix

Similar Documents

BASED ON GRAY LEVEL CO-OCCURRENCE MATRIX

Texture feature extraction of steel strip surface defect based on gray level co-occurrence matrix

Texture information fusion based image classification

Co-occurrence Matrix and statistical features as an approach for mass classification

Preliminary results of breast cancer cell classifying based on gray-level co-occurrence matrix

Feature Extraction of Human Viruses Microscopic Images Using Gray Level Co-occurrence Matrix

Texture image retrieval based on gray-primitive co-occurrence matrix

Face Recognition Based on Euclidean Distance and Texture Features

A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm

Image Texture Feature Extraction Method Based on Regional Average Binary Gray Level Difference Co-occurrence Matrix