CLASSIFICATION OF SPORTS IMAGES USING NAIVE BAYESIAN CLASSIFIER

Authors

  • VIJAY KUMAR GUGULOTHU1, Prof. Dr S K MOHAN RAO2 Department of Computer Engineering, Government Polytechnic, Siddipet, Telangana State-India.

Abstract

For an efficient image data mining accurately finding and classification of various images are required. Therefore there is a need for an image classification method which can be wild applicable to image data mining tasks. In this paper we propose a Bayesian method for classifying the sports images. The proposed method is based on the Bayesian framework and employees four color features to exploit the properties of images. Key Words: Mining efficiency, Image data mining, Color Coherence Vector, Color coherence vector, Bayesin theorem.

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Published

2016-08-30

How to Cite

Prof. Dr S K MOHAN RAO2, V. K. G. (2016). CLASSIFICATION OF SPORTS IMAGES USING NAIVE BAYESIAN CLASSIFIER. International Journal of Engineering Technology and Computer Research, 4(4). Retrieved from https://www.ijetcr.org/index.php/ijetcr/article/view/328

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Section

Articles