Pixel Color Clustering of Multi-Temporally Acquired Digital Photographs of a Rice Canopy by Luminosity-Normalization and Pseudo-Red-Green-Blue Color Imaging
المؤلفون المشاركون
Doi, Ryoichi
Arif, Chusnul
Setiawan, Budi Indra
Mizoguchi, Masaru
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-09-14
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1049652
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر