Publication
Title
IntensityPatches and RegionPatches for image recognition
Author
Abstract
In this paper, we propose a framework for defining feature extraction techniques, called Pixel Clustering. It is an extension of feature extraction with Wavelets. We propose two linear feature extraction techniques using Pixel Clustering: IntensityPatches and RegionPatches. We assess the methods in color and grayscale image datasets: two face datasets and two object datasets. The proposed methods present a short computation time for feature extraction and high accuracy compared with linear feature extraction methods and other state-of-the-art feature extraction techniques.
Language
English
Source (journal)
Applied soft computing. - Place of publication unknown
Publication
Place of publication unknown : 2018
ISSN
1568-4946
DOI
10.1016/J.ASOC.2017.09.046
Volume/pages
62 (2018) , p. 176-186
ISI
000418333500014
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 12.10.2017
Last edited 09.10.2023
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