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RISWheat Class Identification Using LBP, LSP and LSN Textural Features and Monochrome Images
some texture features to classify nine Iranian wheat seed varieties was evaluated. 1080 grayscale images of bulk wheat seeds (120 images of each variety) were acquired with similar illumination condition (florescent ring light). 77 textural features...
Identification and Classification of Three Iranian Rice Varieties in Mixed Bulks Using Image Processing and MLP Neural Network
the accuracy of classification process in real applications. In this study, several morphological and textural features of rice seeds’ images were examined to evaluate their efficacy in identification of three Iranian rice varieties (Tarom, Fajr, Shiroodi...
Identification of nine Iranian wheat seed varieties by textural analysis with image processing
(local similarity numbers)
matrices. The so-called stepwise discrimination method was employed to select and rank the most
significant textural features of each matrix individually as well as features of all matrices simultaneously...