Color Texture Analysis: A Survey
In the field of image processing, texture features and color are fundamental visual cue with complementary roles. They are used in many applications and in a large variety of areas such as quality control, content-based image retrieval, remote sensing, industrial inspection, surface inspection, obje...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9915369/ |
| _version_ | 1811237787577352192 |
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| author | Anne Humeau-Heurtier |
| author_facet | Anne Humeau-Heurtier |
| author_sort | Anne Humeau-Heurtier |
| collection | DOAJ |
| description | In the field of image processing, texture features and color are fundamental visual cue with complementary roles. They are used in many applications and in a large variety of areas such as quality control, content-based image retrieval, remote sensing, industrial inspection, surface inspection, object recognition, and medical image analysis. For this purpose, a large number of algorithms have been proposed for texture feature extraction. Some of them are dedicated to gray-scale images while others aim at processing both color and texture. It has been shown that, for many cases, the use of color improves the performance of gray level texture classification. This paper provides a comprehensive survey of the texture feature extraction methods that consider both texture and color information. We propose a categorization of these methods into seven classes, two of them being very recent. For each method, we present the concept, the advantages and drawbacks, and we give examples of application. |
| first_indexed | 2024-04-12T12:30:29Z |
| format | Article |
| id | doaj.art-047aca0d7e504865b5fec1779b58f13d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T12:30:29Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-047aca0d7e504865b5fec1779b58f13d2022-12-22T03:33:03ZengIEEEIEEE Access2169-35362022-01-011010799310800310.1109/ACCESS.2022.32134399915369Color Texture Analysis: A SurveyAnne Humeau-Heurtier0https://orcid.org/0000-0002-6289-0040Univ Angers, LARIS, SFR MATHSTIC, Angers, FranceIn the field of image processing, texture features and color are fundamental visual cue with complementary roles. They are used in many applications and in a large variety of areas such as quality control, content-based image retrieval, remote sensing, industrial inspection, surface inspection, object recognition, and medical image analysis. For this purpose, a large number of algorithms have been proposed for texture feature extraction. Some of them are dedicated to gray-scale images while others aim at processing both color and texture. It has been shown that, for many cases, the use of color improves the performance of gray level texture classification. This paper provides a comprehensive survey of the texture feature extraction methods that consider both texture and color information. We propose a categorization of these methods into seven classes, two of them being very recent. For each method, we present the concept, the advantages and drawbacks, and we give examples of application.https://ieeexplore.ieee.org/document/9915369/Chrominanceclassificationcolor texturefeature extractionimage processingimage synthesis |
| spellingShingle | Anne Humeau-Heurtier Color Texture Analysis: A Survey IEEE Access Chrominance classification color texture feature extraction image processing image synthesis |
| title | Color Texture Analysis: A Survey |
| title_full | Color Texture Analysis: A Survey |
| title_fullStr | Color Texture Analysis: A Survey |
| title_full_unstemmed | Color Texture Analysis: A Survey |
| title_short | Color Texture Analysis: A Survey |
| title_sort | color texture analysis a survey |
| topic | Chrominance classification color texture feature extraction image processing image synthesis |
| url | https://ieeexplore.ieee.org/document/9915369/ |
| work_keys_str_mv | AT annehumeauheurtier colortextureanalysisasurvey |