A Survey on Image Classification using Data Mining Techniques |
Author(s): |
| Patel Vyoma , Sardar Vallabhbhai Patel Institute of Technology, Vasad; G.J.Sahani, Sardar Vallabhbhai Patel Institute of Technology, Vasad |
Keywords: |
| K-NN, SVM, DT, BoW, SPM, B2S, FV, Bag-of-FLHs |
Abstract |
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Image classification is one of the most useful and essential research field in computer vision domain. The growing demands for image classification in computer vision having application such as video surveillance, image and video retrieval, Web content analysis, biometrics etc. has pushed application developers to search ways to manage and classify images more efficiently. Classification includes image pre-processing, object detection, object segmentation, feature extraction and object classification. The main goal of image classification is to classifying image into different classes according to their visual characteristics. Recently there has been new trend to merge two or three field to take the advantage of each field. In this paper presents a survey on various image classifications by data mining techniques and image representation methods. |
Other Details |
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Paper ID: IJSRDV2I10168 Published in: Volume : 2, Issue : 10 Publication Date: 01/01/2015 Page(s): 746-750 |
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