• D.Angayarkanni
• Dr.L.Jayasimman

Image segmentation performs a major role in the agricultural field due to its extensive range of applications, to identify plants parts and classifying the different diseases present in plant parts. Leaf spot diseases weaken trees and shrubs by interrupting chemical change, the way by that plants generate energy that sustains defense systems and growth and influences survival. This difficulty occurrence can be solved by providing the remedial action within the time and it can be achieved through the introduction of technology in the system. Several methods are used to segment the images. Different kind of algorithms have been proposed for segmenting the image data using clustering process. Selecting a classification method is always a hard task for the reason that the quality of result can vary for different input data. This paper, compare and analyze two algorithms such as SVM (Support Vector Machine) and Fuzzy C-Means on the basis of their performance for the noisy Leaf images and to find which algorithmic approach presents better results in image segmentation. These segmentation algorithms are compared in terms of Segmentation Accuracy, Noise level and Time Complexity.

Image Segmentation Techniques, Clustering Algorithm, Fuzzy C-Means Algorithm, Support Vector Machine algorithm, Edge Detection Technique, Plant Disease Management

"IMAGE SEGMENTATION USING SUPPORT VECTOR MACHINE AND FUZZY C-MEANS CLUSTERING FOR ANALYZING PLANTS DISEASES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.912-918, June-2019, Available :http://www.jetir.org/papers/JETIR1906G39.pdf

"IMAGE SEGMENTATION USING SUPPORT VECTOR MACHINE AND FUZZY C-MEANS CLUSTERING FOR ANALYZING PLANTS DISEASES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp912-918, June-2019, Available at : http://www.jetir.org/papers/JETIR1906G39.pdf