Plant Leaf Disease Image Retrieval Using Color Moments

Jayamala Kumar Patil, Raj Kumar


This paper  presents a Content Based Image Retrieval (CBIR)method for plant leaf image retrieval, intended for identification of leaf diseases. We  used color features to extract the contents of leaf images. The color features are extracted using first three color moments.  For similarity measurement median value of moment feature vectors is used. The method is studied for three different color spaces i.e. RGB, HSV & YCbCr. The experimental result shows that HSV color space provides better results for plant leaf disease retrieval.



Color Moments,CBIR-Content Based Imag,Retrieval,Diseases,HSV

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IAES International Journal of Artificial Intelligence (IJ-AI)
ISSN/e-ISSN 2089-4872/2252-8938 
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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