图像处理
农业工程
核(代数)
人工智能
计算机视觉
质量(理念)
数学
计算机科学
图像(数学)
工程类
哲学
认识论
组合数学
作者
Prabira Kumar Sethy,Nalini Kanta Barpanda,Amiya Kumar Rath
出处
期刊:Asian Journal of Multidimensional Research (AJMR)
日期:2018-01-01
卷期号:7 (8): 74-80
被引量:2
摘要
Chalkiness is an important characteristic to investigate the quality of rice. Chalky rice degrades the value of rice because of the undesirable appearance in rice. The chalky ricedeterioratesthe eating quality, as it absorbs water more rapidly during cooking. Traditionally the chalkiness evaluation was performed by expert persons. In this paper, we proposed an automatic evaluation technique for chalkiness and suggested a prototype for classifying the good and bad quality of rice kernel using image processing.
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