Image Segmentation K-Means Clustering Algorithm for Fruit Disease Detection Image Processing
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9297359/9297368/09297462.pdf?arnumber=9297462
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Detection of disease in fresh fruits using convolution neural network by comparing with support vector machine to maximize the accuracy and sensitivity;AIP Conference Proceedings;2024
2. An optimized XGBoost technique for accurate brain tumor detection using feature selection and image segmentation;Healthcare Analytics;2023-12
3. Detecting Fruit Diseases Using Deep Learning and Image Analysis;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03
4. A Study of Convolution Neural Network Based Cataract Detection with Image Segmentation;2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT);2022-11-03
5. Target Positioning and Sorting Strategy of Fruit Sorting Robot Based on Image Processing;Traitement du Signal;2021-06-30
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