Local Directional Difference and Relational Descriptor for Texture Classification

The local binary pattern (LBP) has been widely used for extracting texture features. However, the LBP and most of its variants tend to focus on pixel units within small neighborhoods, neglecting differences in direction and relationships among different directions. To alleviate this issue, in this p...

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Main Authors: Weidan Yan, Yongsheng Dong
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/12/21/3432
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author Weidan Yan
Yongsheng Dong
author_facet Weidan Yan
Yongsheng Dong
author_sort Weidan Yan
collection DOAJ
description The local binary pattern (LBP) has been widely used for extracting texture features. However, the LBP and most of its variants tend to focus on pixel units within small neighborhoods, neglecting differences in direction and relationships among different directions. To alleviate this issue, in this paper, we propose a novel local directional difference and relational descriptor (LDDRD) for texture classification. Our proposed LDDRD utilizes information from multiple pixels along the radial direction. Specifically, a directional difference pattern (DDP) is first extracted by performing binary encoding on the differences between the central pixel and multiple neighboring pixels along the radial direction. Furthermore, by taking the central pixel as a reference, we extract the directional relation pattern (DRP) by comparing binary encodings representing different directions. Finally, we fuse the above DDP and DRP to form the LDDRD feature vector. Experimental results on six texture datasets reveal that our proposed LDDRD is effective and outperforms eight representative methods.
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spelling doaj-art-d6ac9c043f804810b6b7244917c8dacc2024-11-08T14:37:53ZengMDPI AGMathematics2227-73902024-11-011221343210.3390/math12213432Local Directional Difference and Relational Descriptor for Texture ClassificationWeidan Yan0Yongsheng Dong1School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaSchool of Information Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaThe local binary pattern (LBP) has been widely used for extracting texture features. However, the LBP and most of its variants tend to focus on pixel units within small neighborhoods, neglecting differences in direction and relationships among different directions. To alleviate this issue, in this paper, we propose a novel local directional difference and relational descriptor (LDDRD) for texture classification. Our proposed LDDRD utilizes information from multiple pixels along the radial direction. Specifically, a directional difference pattern (DDP) is first extracted by performing binary encoding on the differences between the central pixel and multiple neighboring pixels along the radial direction. Furthermore, by taking the central pixel as a reference, we extract the directional relation pattern (DRP) by comparing binary encodings representing different directions. Finally, we fuse the above DDP and DRP to form the LDDRD feature vector. Experimental results on six texture datasets reveal that our proposed LDDRD is effective and outperforms eight representative methods.https://www.mdpi.com/2227-7390/12/21/3432texture classificationlocal binary patternlocal featuremulti-directionnoise
spellingShingle Weidan Yan
Yongsheng Dong
Local Directional Difference and Relational Descriptor for Texture Classification
Mathematics
texture classification
local binary pattern
local feature
multi-direction
noise
title Local Directional Difference and Relational Descriptor for Texture Classification
title_full Local Directional Difference and Relational Descriptor for Texture Classification
title_fullStr Local Directional Difference and Relational Descriptor for Texture Classification
title_full_unstemmed Local Directional Difference and Relational Descriptor for Texture Classification
title_short Local Directional Difference and Relational Descriptor for Texture Classification
title_sort local directional difference and relational descriptor for texture classification
topic texture classification
local binary pattern
local feature
multi-direction
noise
url https://www.mdpi.com/2227-7390/12/21/3432
work_keys_str_mv AT weidanyan localdirectionaldifferenceandrelationaldescriptorfortextureclassification
AT yongshengdong localdirectionaldifferenceandrelationaldescriptorfortextureclassification