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Classification of the grape varieties based on leaf recognition by using SVM classifier | IEEE Conference Publication | IEEE Xplore

Classification of the grape varieties based on leaf recognition by using SVM classifier


Abstract:

In this paper, to classify the grape tree species, the extracted features from leaf images are classified using a multi-class support vector machines. Feature extraction ...Show More

Abstract:

In this paper, to classify the grape tree species, the extracted features from leaf images are classified using a multi-class support vector machines. Feature extraction stage, the grape leafs are calculated by using 9 different features. Image processing stage involves gray tone dial, median filtering, contrast, thresh holding and morphological-logical processes. In the classification stage, the obtained properties with the help of multi-class support vector machines (MCSVM) is performed classification process. In the testing phase, by applying the different leaf images is calculated the performance of model. In this study, MATLAB software was used. At the end of the test was determined the total success rate of 90.7%.
Date of Conference: 16-19 May 2015
Date Added to IEEE Xplore: 22 June 2015
Electronic ISBN:978-1-4673-7386-9
Print ISSN: 2165-0608
Conference Location: Malatya, Turkey