NDLI: Texture classification using uniform rotation invariant gradient

Content Provider	IEEE Xplore Digital Library
Author	Wenteng Zhao Zongqing Lu Qingmin Liao
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. Eng./Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China (Wenteng Zhao; Zongqing Lu; Qingmin Liao)
Abstract	In this paper, we present a novel descriptor called uniform rotation invariant gradient(URIG) aiming at texture classification under variant rotation and illumination condition. Instead of using URIG directly, a 2D descriptor can be formulated combining URIG with average of local pixels. Given a texture image, such 2D descriptors are extracted from every pixel followed by clustering. The centers of clustering can be viewed as a texton dictionary over which a histogram is computed as the representation of given texture image. Experiments are carried out on Outex and CUReT databases comparing to state-of-the-art approaches. Our proposed method achieved promising performance against illumination and rotation changes with least cost for representing histogram dimension.
Starting Page	3650
Ending Page	3654
File Size	2162169
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351485
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Histograms Lighting Training Dictionaries Databases Testing local descriptor texture classification rotation and illumination invariant
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

Rotation-invariant texture Image Classification using R-transform

Local binary patterns partitioning for rotation invariant texture classification

BRINT: A binary rotation invariant and noise tolerant texture descriptor

Robust Illumination Invariant Texture Classification Using Gradient Local Binary Patterns

Logarithm Gradient Histogram: A general illumination invariant descriptor for face recognition

Framework for texture classification and retrieval using scale invariant feature transform

Histogram of gradient magnitudes: A rotation invariant texture-descriptor

Rotation invariant texture classification using adaptive LBP with directional statistical features

Illumination invariant face recognition using SQI and weighted LBP histogram

Texture classification using uniform rotation invariant gradient

Similar Documents

Rotation-invariant texture Image Classification using R-transform

Local binary patterns partitioning for rotation invariant texture classification

BRINT: A binary rotation invariant and noise tolerant texture descriptor

Robust Illumination Invariant Texture Classification Using Gradient Local Binary Patterns

Logarithm Gradient Histogram: A general illumination invariant descriptor for face recognition

Framework for texture classification and retrieval using scale invariant feature transform

Histogram of gradient magnitudes: A rotation invariant texture-descriptor

Rotation invariant texture classification using adaptive LBP with directional statistical features

Illumination invariant face recognition using SQI and weighted LBP histogram

Texture classification using uniform rotation invariant gradient