Evaluation of Texture and Shape Features for Classification of Four Paddy Varieties
نویسندگان
چکیده
منابع مشابه
Evaluation of Shape and Color Features for Classification of Four Paddy Varieties
This research is aimed at evaluating the shape and color features using the most commonly used neural network architectures for cereal grain classification. An evaluation of the classification accuracy of shape and color features and neural network was done to classify four Paddy (Rice) grains, viz. Karjat-6, Ratnagiri-2, Ratnagiri-4 and Ratnagiri-24. Algorithms were written to extract the feat...
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Several methods to identify plants have been proposed by several researchers. Commonly, the methods did not capture color information, because color was not recognized as an important aspect to the identification. In this research, shape and vein, color, and texture features were incorporated to classify a leaf. In this case, a neural network called Probabilistic Neural network (PNN) was used a...
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ژورنال
عنوان ژورنال: Journal of Engineering
سال: 2014
ISSN: 2314-4904,2314-4912
DOI: 10.1155/2014/617263