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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 11, NOVEMBER 2018

Noise Reduction in Leaf Image by Fuzzy Based Filtering Technique

Ajitha N, Nandhini S

DOI: 10.17148/IJARCCE.2018.71118

Abstract: The accuracy in recognition and classification of the plant disease is highly significant for the successful farming of crop and this can be performed using image processing. This research is conversed various methods to segment the disease portion of the plant. This study also discussed some noise reduction techniques and image segmentation techniques for identification of infected leaf and the categorization of plant diseases. Image segmentation is the method of partitioning a digital image into numerous segments. The outcome of image segmentation is a group of segments that jointly cover the whole image, or a collection of contours acquired from the image. With regard to features namely texture, color and intensity every pixel in a region is similar.



Keywords: Segmentation, Fuzzy, Speckle, Histogram, Noise, Impulse, Thresholding

How to Cite:

[1] Ajitha N, Nandhini S, “Noise Reduction in Leaf Image by Fuzzy Based Filtering Technique,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.71118