This code is implemented from scratch for extracting disease affected portions from images of Jute Plant Stems. Different image processing methods like Hue-based Segmentation, Morphological Analysis (i.e. erosion, dilation etc.), Blob Detection, Largest Connected Component, Color co-occurrence methodology, Texture Analysis etc. are implemented and applied. Extracted features are used for Jute Plant Disease Detection using Multi-class Support Vector Machine.
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Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
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znreza/image_processing_for_plant_disease
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Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
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