Compact Local Directional Texture Pattern for Local Image Description

This paper presents an effective local image feature region descriptor, called CLDTP descriptor (Compact Local Directional Texture Pattern), and its application in image matching and object recognition. The CLDTP descriptor encodes the directional and contrast information in a local region, so it co...

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Main Authors: Hui Zeng, Rui Zhang, Mingming Huang, Xiuqing Wang
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2015/360186
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author Hui Zeng
Rui Zhang
Mingming Huang
Xiuqing Wang
author_facet Hui Zeng
Rui Zhang
Mingming Huang
Xiuqing Wang
author_sort Hui Zeng
collection DOAJ
description This paper presents an effective local image feature region descriptor, called CLDTP descriptor (Compact Local Directional Texture Pattern), and its application in image matching and object recognition. The CLDTP descriptor encodes the directional and contrast information in a local region, so it contains the gradient orientation information and the gradient magnitude information. As the dimension of the CLDTP histogram is much lower than the dimension of the LDTP histogram, the CLDTP descriptor has higher computational efficiency and it is suitable for image matching. Extensive experiments have validated the effectiveness of the designed CLDTP descriptor.
format Article
id doaj-art-291492dafbb540e7b298d3e298a30fca
institution Kabale University
issn 1687-5680
1687-5699
language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series Advances in Multimedia
spelling doaj-art-291492dafbb540e7b298d3e298a30fca2025-08-20T03:54:47ZengWileyAdvances in Multimedia1687-56801687-56992015-01-01201510.1155/2015/360186360186Compact Local Directional Texture Pattern for Local Image DescriptionHui Zeng0Rui Zhang1Mingming Huang2Xiuqing Wang3School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaVocational & Technical Institute, Hebei Normal University, Shijiazhuang 050024, ChinaThis paper presents an effective local image feature region descriptor, called CLDTP descriptor (Compact Local Directional Texture Pattern), and its application in image matching and object recognition. The CLDTP descriptor encodes the directional and contrast information in a local region, so it contains the gradient orientation information and the gradient magnitude information. As the dimension of the CLDTP histogram is much lower than the dimension of the LDTP histogram, the CLDTP descriptor has higher computational efficiency and it is suitable for image matching. Extensive experiments have validated the effectiveness of the designed CLDTP descriptor.http://dx.doi.org/10.1155/2015/360186
spellingShingle Hui Zeng
Rui Zhang
Mingming Huang
Xiuqing Wang
Compact Local Directional Texture Pattern for Local Image Description
Advances in Multimedia
title Compact Local Directional Texture Pattern for Local Image Description
title_full Compact Local Directional Texture Pattern for Local Image Description
title_fullStr Compact Local Directional Texture Pattern for Local Image Description
title_full_unstemmed Compact Local Directional Texture Pattern for Local Image Description
title_short Compact Local Directional Texture Pattern for Local Image Description
title_sort compact local directional texture pattern for local image description
url http://dx.doi.org/10.1155/2015/360186
work_keys_str_mv AT huizeng compactlocaldirectionaltexturepatternforlocalimagedescription
AT ruizhang compactlocaldirectionaltexturepatternforlocalimagedescription
AT mingminghuang compactlocaldirectionaltexturepatternforlocalimagedescription
AT xiuqingwang compactlocaldirectionaltexturepatternforlocalimagedescription