Methodology for multispectral camera calibration using frequency component separation.
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| Title: | Methodology for multispectral camera calibration using frequency component separation. |
|---|---|
| Authors: | Juárez-Trujillo, Iván A.1 (AUTHOR), Zavala-de Paz, Jonny P.2 (AUTHOR), Isaza, César2 (AUTHOR), Anaya-Rivera, Ely K.2 (AUTHOR), Rizzo-Sierra, Jose Amilcar2 (AUTHOR) jose.rizzo@upq.edu.mx |
| Source: | Multimedia Tools & Applications. Mar2024, Vol. 83 Issue 8, p22327-22346. 20p. |
| Abstract: | The calibration process of a multispectral camera is fundamental for analyzing images where color standards must be referenced in a post-processing stage. This work presents a new method to process images acquired with a multiband/multispectral camera and scanned for reflectance information with a commercial spectrophotometer. The strategy implemented is based on a general illumination model describing lighting as an image component that changes depending on the captured environment and reflectance as a component depending only on the object's surface. Since the relationship between intensity, luminance, and reflectance in a captured image is not linear. A novel general result is that illumination adjustment generates a valid reflectance map with better surface information. An equalization of reflectance components using RGB model separation to standardize the same pixel value for each of the images was performed on eight certified Lucideon Std ceramic tiles. Lighting of 6000k was used to perceive color similar to normal daylight to each tile, both data captured in the same position. Possible industrial applications of the proposed methodology include reducing time and complexity in color inspection, multispectral image processing, and obtention of better color surface representations under various lighting conditions and application requirements. Particularly, this work shows image results interpreted in CIE RGB color space where B12 has values of 44, 61, and 63; B11 has values of 141, 176, and 84; B10 has values of 214, 176, and 203; B9 has values of 123, 89, and 82; B8 has values of 201, 66, and 225; B7 has values of 86, 73, and 103; B6 has values of 22, 37, and 160; B5 has values of 108, 107, and 64. Those compared to values measured by an spectrophotometer as reference device were in good correspondence, achieving percentage calibrations of ∼ 100 % . [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 175605014 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Methodology for multispectral camera calibration using frequency component separation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Juárez-Trujillo%2C+Iván+A%2E%22">Juárez-Trujillo, Iván A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zavala-de+Paz%2C+Jonny+P%2E%22">Zavala-de Paz, Jonny P.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Isaza%2C+César%22">Isaza, César</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anaya-Rivera%2C+Ely+K%2E%22">Anaya-Rivera, Ely K.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rizzo-Sierra%2C+Jose+Amilcar%22">Rizzo-Sierra, Jose Amilcar</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jose.rizzo@upq.edu.mx</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Mar2024, Vol. 83 Issue 8, p22327-22346. 20p. – Name: Abstract Label: Abstract Group: Ab Data: The calibration process of a multispectral camera is fundamental for analyzing images where color standards must be referenced in a post-processing stage. This work presents a new method to process images acquired with a multiband/multispectral camera and scanned for reflectance information with a commercial spectrophotometer. The strategy implemented is based on a general illumination model describing lighting as an image component that changes depending on the captured environment and reflectance as a component depending only on the object's surface. Since the relationship between intensity, luminance, and reflectance in a captured image is not linear. A novel general result is that illumination adjustment generates a valid reflectance map with better surface information. An equalization of reflectance components using RGB model separation to standardize the same pixel value for each of the images was performed on eight certified Lucideon Std ceramic tiles. Lighting of 6000k was used to perceive color similar to normal daylight to each tile, both data captured in the same position. Possible industrial applications of the proposed methodology include reducing time and complexity in color inspection, multispectral image processing, and obtention of better color surface representations under various lighting conditions and application requirements. Particularly, this work shows image results interpreted in CIE RGB color space where B12 has values of 44, 61, and 63; B11 has values of 141, 176, and 84; B10 has values of 214, 176, and 203; B9 has values of 123, 89, and 82; B8 has values of 201, 66, and 225; B7 has values of 86, 73, and 103; B6 has values of 22, 37, and 160; B5 has values of 108, 107, and 64. Those compared to values measured by an spectrophotometer as reference device were in good correspondence, achieving percentage calibrations of ∼ 100 % . [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-15203-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 22327 Titles: – TitleFull: Methodology for multispectral camera calibration using frequency component separation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Juárez-Trujillo, Iván A. – PersonEntity: Name: NameFull: Zavala-de Paz, Jonny P. – PersonEntity: Name: NameFull: Isaza, César – PersonEntity: Name: NameFull: Anaya-Rivera, Ely K. – PersonEntity: Name: NameFull: Rizzo-Sierra, Jose Amilcar IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 83 – Type: issue Value: 8 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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