Shadow Separation of Pavement Images Based on Morphological Component Analysis

The shadow of pavement images will affect the accuracy of road crack recognition and increase the rate of error detection. A shadow separation algorithm based on morphological component analysis (MCA) is proposed herein to solve the shadow problem of road imaging. The main assumption of MCA is that...

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Main Authors: Changxia Ma, Heng Zhang, Bing Keong Li
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2021/8828635
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author Changxia Ma
Heng Zhang
Bing Keong Li
author_facet Changxia Ma
Heng Zhang
Bing Keong Li
author_sort Changxia Ma
collection DOAJ
description The shadow of pavement images will affect the accuracy of road crack recognition and increase the rate of error detection. A shadow separation algorithm based on morphological component analysis (MCA) is proposed herein to solve the shadow problem of road imaging. The main assumption of MCA is that the image geometric structure and texture structure components are sparse within a class under a specific base or overcomplete dictionary, while the base or overcomplete dictionaries of each sparse representation of morphological components are incoherent. Thereafter, the corresponding image signal is transformed according to the dictionary to obtain the sparse representation coefficients of each part of the information, and the coefficients are shrunk by soft thresholding to obtain new coefficients. Experimental results show the effectiveness of the shadow separation method proposed in this paper.
format Article
id doaj-art-2022be8f16054ce69038198d55f0e0d7
institution Kabale University
issn 1687-5249
1687-5257
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-2022be8f16054ce69038198d55f0e0d72025-02-03T01:05:28ZengWileyJournal of Control Science and Engineering1687-52491687-52572021-01-01202110.1155/2021/88286358828635Shadow Separation of Pavement Images Based on Morphological Component AnalysisChangxia Ma0Heng Zhang1Bing Keong Li2School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, ChinaSchool of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, ChinaJiangsu LiCi Medical Device Co. Ltd., Lianyungang 222005, ChinaThe shadow of pavement images will affect the accuracy of road crack recognition and increase the rate of error detection. A shadow separation algorithm based on morphological component analysis (MCA) is proposed herein to solve the shadow problem of road imaging. The main assumption of MCA is that the image geometric structure and texture structure components are sparse within a class under a specific base or overcomplete dictionary, while the base or overcomplete dictionaries of each sparse representation of morphological components are incoherent. Thereafter, the corresponding image signal is transformed according to the dictionary to obtain the sparse representation coefficients of each part of the information, and the coefficients are shrunk by soft thresholding to obtain new coefficients. Experimental results show the effectiveness of the shadow separation method proposed in this paper.http://dx.doi.org/10.1155/2021/8828635
spellingShingle Changxia Ma
Heng Zhang
Bing Keong Li
Shadow Separation of Pavement Images Based on Morphological Component Analysis
Journal of Control Science and Engineering
title Shadow Separation of Pavement Images Based on Morphological Component Analysis
title_full Shadow Separation of Pavement Images Based on Morphological Component Analysis
title_fullStr Shadow Separation of Pavement Images Based on Morphological Component Analysis
title_full_unstemmed Shadow Separation of Pavement Images Based on Morphological Component Analysis
title_short Shadow Separation of Pavement Images Based on Morphological Component Analysis
title_sort shadow separation of pavement images based on morphological component analysis
url http://dx.doi.org/10.1155/2021/8828635
work_keys_str_mv AT changxiama shadowseparationofpavementimagesbasedonmorphologicalcomponentanalysis
AT hengzhang shadowseparationofpavementimagesbasedonmorphologicalcomponentanalysis
AT bingkeongli shadowseparationofpavementimagesbasedonmorphologicalcomponentanalysis