Recognition and Classification of Unhealthy Region of Rice Plant Leaves Using Hybrid Glcm-LBP

Authors

  • T.Gayathri Devi, A.Srinivasan, S.Sudha

Abstract

Image processing techniques are used wide range in agricultural sciences. Rice is the world’s most important economical crop. For the crop management it is essential to identify the various diseases of rice plant leaves. Diseases in rice plant causes economic losses and yield losses. So the identification of diseases in initial stages is required. This paper proposes an automatic  detection system for the rice plant leaf diseases which includes the following steps, first step is to convert RGB to gray image, preprocessing and K – means segmentation. In the Second step, the hybrid GLCM-LBP is extracting the features from segmented and finally, the Artificial Neural Network is used to classify the diseases. The experimental results of proposed method achieves the classification accuracy of 93.27%

Keywords:Preprocessing, K-means Clustering, Local Binary Patterns, GLCM, ANN.

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Published

2020-05-18

Issue

Section

Articles