Feature extraction of clothing texture patterns for classification

Title

Feature extraction of clothing texture patterns for classification

Creator

Chaitra G.N.; Khare N.

Description

Different features are extracted for Pattern Recognition using an efficient algorithms like Scale Invariant Feature Transform, Rotation invariant Radon Transform and extracting statistical features of a texture image. Support vector machine with RBF kernel in Weka is used in this paper for classification. This paper shows method to classify the clothing texture patterns like strips, plaid, pattern less and irregular pattern. This paper also proposes a method which can be efficient method to apply for the real time natural texture patterns and colors recognition systems. This paper gives the experiments results and the proposed method to enhance the experiments accuracy in future scope. 2015 IEEE.

Source

Recent and Emerging Trends in Computer and Computational Sciences, RETCOMP 2015, pp. 6-9.

Date

2015-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

classification; Feature descriptors; Radon transform variance; statistical analysis; Support Vector Machine; texture

Coverage

Chaitra G.N., Dept. of CSE, Christ University, Bangalore, India; Khare N., Dept. of CSE, Christ University, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-147991835-5

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/RETCOMP.2015.7090796

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929886298&doi=10.1109%2fRETCOMP.2015.7090796&partnerID=40&md5=02705d0fb5f2f8730b3223688f54c552