https://github.com/znreza/image_processing_for_plant_disease

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/
https://github.com/znreza/image_processing_for_plant_disease

blob-detection feature-extraction glcm hsv2rgb image-processing matlab plant-disease rgb-to-hsv thresholding

Last synced: 4 months ago
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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/

• Host: GitHub
• URL: https://github.com/znreza/image_processing_for_plant_disease
• Owner: znreza
• License: apache-2.0
• Created: 2017-12-29T02:51:02.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-02-11T00:53:05.000Z (over 6 years ago)
• Last Synced: 2023-03-10T05:42:19.704Z (over 2 years ago)
• Topics: blob-detection, feature-extraction, glcm, hsv2rgb, image-processing, matlab, plant-disease, rgb-to-hsv, thresholding
• Language: MATLAB
• Homepage: https://ai-diary-by-znreza.com/
• Size: 445 KB
• Stars: 20
• Watchers: 3
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Image processing and feature extraction for plant disease detection from stem images

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.