LEAF RECOGNITION ALGORITHM FOR PLANT CLASSIFICATION USING K-MEANS SEGMENTATION AND NEURAL NETWORK

    In this project, Probabilistic Neural Network (PNN) and K-Means Segmentation with image and data processing techniques to implement a general-purpose automated leaf recognition. Twenty leaf features are extracted and orthogonalized into 5 principal variables which consist of the input vector of the PNN. The PNN is trained with K-Means Segmentation to classify the plants with an accuracy greater compared with other approaches.

Reference Paper: A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
Author’s Name: Stephen Gang Wu, Forrest Sheng Bao, Eric You Xu, Yu-Xuan Wang, Yi-Fan Chang, and Qiao-Liang Xiang
Source: IEEE
Year:2007
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SIMULATION VIDEO DEMO                                                                                                                            




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