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There are many types of the feature extraction which usually include color, e dge, shape, texture extraction

Feature Extraction: After the segmentation of the area of interest which means the extraction of the diseased part from the image which is mostly the browned region in RGB format

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2019 1

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High Accurate Unhealthy Leaf Detection

cs.CV · 2019-08-14 · reject · novelty 2.0

An SVM using GLCM texture features from genetic-algorithm segmentation classifies four leaf diseases with 71 to 92 percent accuracy on a private 235-image dataset.

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  • High Accurate Unhealthy Leaf Detection cs.CV · 2019-08-14 · reject · none · ref 6

    An SVM using GLCM texture features from genetic-algorithm segmentation classifies four leaf diseases with 71 to 92 percent accuracy on a private 235-image dataset.