Pixel Color Clustering of Multi-Temporally Acquired Digital Photographs of a Rice Canopy by Luminosity-Normalization and Pseudo-Red-Green-Blue Color Imaging
Joint Authors
Doi, Ryoichi
Arif, Chusnul
Setiawan, Budi Indra
Mizoguchi, Masaru
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Red-green-blue (RGB) channels of RGB digital photographs were loaded with luminosity-adjusted R, G, and completely white grayscale images, respectively (RGwhtB method), or R, G, and R + G (RGB yellow) grayscale images, respectively (RGrgbyB method), to adjust the brightness of the entire area of multi-temporally acquired color digital photographs of a rice canopy.
From the RGwhtB or RGrgbyB pseudocolor image, cyan, magenta, CMYK yellow, black, L * , a * , and b * grayscale images were prepared.
Using these grayscale images and R, G, and RGB yellow grayscale images, the luminosity-adjusted pixels of the canopy photographs were statistically clustered.
With the RGrgbyB and the RGwhtB methods, seven and five major color clusters were given, respectively.
The RGrgbyB method showed clear differences among three rice growth stages, and the vegetative stage was further divided into two substages.
The RGwhtB method could not clearly discriminate between the second vegetative and midseason stages.
The relative advantages of the RGrgbyB method were attributed to the R, G, B, magenta, yellow, L * , and a * grayscale images that contained richer information to show the colorimetrical differences among objects than those of the RGwhtB method.
The comparison of rice canopy colors at different time points was enabled by the pseudocolor imaging method.
American Psychological Association (APA)
Doi, Ryoichi& Arif, Chusnul& Setiawan, Budi Indra& Mizoguchi, Masaru. 2014. Pixel Color Clustering of Multi-Temporally Acquired Digital Photographs of a Rice Canopy by Luminosity-Normalization and Pseudo-Red-Green-Blue Color Imaging. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049652
Modern Language Association (MLA)
Doi, Ryoichi…[et al.]. Pixel Color Clustering of Multi-Temporally Acquired Digital Photographs of a Rice Canopy by Luminosity-Normalization and Pseudo-Red-Green-Blue Color Imaging. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1049652
American Medical Association (AMA)
Doi, Ryoichi& Arif, Chusnul& Setiawan, Budi Indra& Mizoguchi, Masaru. Pixel Color Clustering of Multi-Temporally Acquired Digital Photographs of a Rice Canopy by Luminosity-Normalization and Pseudo-Red-Green-Blue Color Imaging. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049652
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049652