Title
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IntensityPatches and RegionPatches for image recognition
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Author
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Abstract
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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. |
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Language
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English
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Source (journal)
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Applied soft computing. - Place of publication unknown
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Publication
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Place of publication unknown
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2018
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ISSN
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1568-4946
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DOI
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10.1016/J.ASOC.2017.09.046
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Volume/pages
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62
(2018)
, p. 176-186
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ISI
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000418333500014
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Full text (Publisher's DOI)
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Full text (open access)
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