Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I
Numerous imaging applications and analyses demand human perception, and color space transformation of device-dependent tri-band color interpretation (RGB) to device-independent CIE color space standards needs human intervention. The imaging acquisition environment, theoretical conversion errors, vie...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/23/3887 |
| _version_ | 1797463407441477632 |
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| author | Nibedita Rout George Baciu Priyabrata Pattanaik K. Nakkeeran Asimananda Khandual |
| author_facet | Nibedita Rout George Baciu Priyabrata Pattanaik K. Nakkeeran Asimananda Khandual |
| author_sort | Nibedita Rout |
| collection | DOAJ |
| description | Numerous imaging applications and analyses demand human perception, and color space transformation of device-dependent tri-band color interpretation (RGB) to device-independent CIE color space standards needs human intervention. The imaging acquisition environment, theoretical conversion errors, viewing geometry, well-defined illumination uniformity, and calibration protocols limit their precision and applicability. It is unfortunate that in most image processing applications, the spectral data are either unavailable or immeasurable. This study is based on developing a novel integrating sphere imaging system and experimentation with textiles’ controlled variation of texture and color. It proposes a simple calibration technique and describes how unique digital color signatures can be derived from calibrated RGB derivatives to extract the best features for color and texture. Additionally, an alter-ego of reflectance function, missing in the imaging domain, is suggested that could be helpful for visualization, identification, and application for qualitative and quantitative color-texture analysis. Our further investigation revealed promising colorimetric results while validating color characterization and different color combinations over three textures. |
| first_indexed | 2024-03-09T17:50:14Z |
| format | Article |
| id | doaj.art-49e932600b604a40a7507af112d24c1e |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T17:50:14Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-49e932600b604a40a7507af112d24c1e2023-11-24T10:47:13ZengMDPI AGElectronics2079-92922022-11-011123388710.3390/electronics11233887Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-INibedita Rout0George Baciu1Priyabrata Pattanaik2K. Nakkeeran3Asimananda Khandual4School of Electronics, ITER, S’O’A University, Bhubaneswar 751030, Odisha, IndiaDepartment of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, ChinaSchool of Electronics, ITER, S’O’A University, Bhubaneswar 751030, Odisha, IndiaSchool of Engineering, Fraser Noble Building, University of Aberdeen, Aberdeen AB24 3UE, UKDepartment of Textile Engineering, OUTR (Former CET), Bhubaneswar 751029, Odisha, IndiaNumerous imaging applications and analyses demand human perception, and color space transformation of device-dependent tri-band color interpretation (RGB) to device-independent CIE color space standards needs human intervention. The imaging acquisition environment, theoretical conversion errors, viewing geometry, well-defined illumination uniformity, and calibration protocols limit their precision and applicability. It is unfortunate that in most image processing applications, the spectral data are either unavailable or immeasurable. This study is based on developing a novel integrating sphere imaging system and experimentation with textiles’ controlled variation of texture and color. It proposes a simple calibration technique and describes how unique digital color signatures can be derived from calibrated RGB derivatives to extract the best features for color and texture. Additionally, an alter-ego of reflectance function, missing in the imaging domain, is suggested that could be helpful for visualization, identification, and application for qualitative and quantitative color-texture analysis. Our further investigation revealed promising colorimetric results while validating color characterization and different color combinations over three textures.https://www.mdpi.com/2079-9292/11/23/3887computer visionCIE color spacecolor image processingradiancetri-stimulus valued/80 geometry |
| spellingShingle | Nibedita Rout George Baciu Priyabrata Pattanaik K. Nakkeeran Asimananda Khandual Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I Electronics computer vision CIE color space color image processing radiance tri-stimulus value d/80 geometry |
| title | Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I |
| title_full | Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I |
| title_fullStr | Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I |
| title_full_unstemmed | Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I |
| title_short | Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I |
| title_sort | color and texture analysis of textiles using image acquisition and spectral analysis in calibrated sphere imaging system i |
| topic | computer vision CIE color space color image processing radiance tri-stimulus value d/80 geometry |
| url | https://www.mdpi.com/2079-9292/11/23/3887 |
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