STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Plant Leaf Sickness Recognition Using Image Processing

  1. rohan panwar
  2. Anurag Singh Baghel

Abstract

This paper demonstrates the use of image processing techniques in detection of diseases in plants. The system which we have demonstrated in this technique is a software result for computerized detection and computing of the texture enumeration for the leaf diseases in plants. This processing system involves four major steps: (1) in this step we take an RGB image as input and it’s colour transformation structure is created, (2) in the second step we mask the green pixels and then we remove them using well defined threshold value, (3) the image subdivision and the extraction of the useful segments is done the third step, (4) then last step involves the calculation of the texture statics. This helps in the determination of the disease, if any.Cite this ArticleRohan Panwar, Anurag Singh Baghel. Plant Leaf Sickness Recognition Using Image Processing. Journal of Image Processing & Pattern Recognition Progress. 2016; 3(2): 26–31p.

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