CLASSIFICATION OF SPORTS IMAGES USING NAIVE BAYESIAN CLASSIFIER
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.
Downloads
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
Issue
Section
Articles
License
International Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.