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Improving SVM (Support vector Machine) for classification of images based on tree and non-tree images with Neural Network technique for Tree Detection


Prof. Divyanshu Rao, Deepti Thakur
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This paper compares two different techniques of tree recognition and explains the steps of extracting tree from image, palette formation and conditioning of palette for matching. The focus of the paper is in finding the suitable method for tree recognition on the basis of recognition time, recognition rate, false detection rate, conditioning time, algorithm complexity, bulk detection, database handling. The two methods compared in this paper. Although both methods are practically proven by many researchers, still a comprehensive comparison is missing, we hope the results drawn in this paper will be helpful for the peoples working in same field, the complete algorithm is developed in Matlab for classification of images.

Prof. Divyanshu Rao, Deepti Thakur

Tree Recognition, SVM (Support Vector Machine), Neural Network, MATLAB

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Publication Details

Published in : Volume 2 | Issue 6 | November-December - 2016
Date of Publication Print ISSN Online ISSN
2016-12-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
361-365 IJSRSET162690   Technoscience Academy

Cite This Article

Prof. Divyanshu Rao, Deepti Thakur, "Improving SVM (Support vector Machine) for classification of images based on tree and non-tree images with Neural Network technique for Tree Detection", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.361-365, November-December-2016.
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