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Supervised and Unsupervised Image Categorization

Author(s):

Pinki , Department of Computer Science and Applications, Kurukshetra university, Kurukshetra; Girdhar Gopal, Department of Computer Science and Applications, Kurukshetra university, Kurukshetra

Keywords:

Image categorization, supervised classification, unsupervised categorization

Abstract

Categorization of images is a way of grouping images according to their similarity. Images categorization uses various features of images like texture, color component, shape, edge, etc. Categorization process has various steps like image pre-processing, object detection, object segmentation, feature extraction and object classification. There are basically two methods of categorization-Supervised and Unsupervised. There are various algorithms that are used to categorize image data such as K-means, ISODATA, Artificial Neural Network (ANN), Decision Tree (DT), Support Vector Machine (SVM) and Fuzzy Classification and K-Nearest Neighbor (KNN). In this paper supervised and unsupervised techniques for image categorization are discussed.

Other Details

Paper ID: IJSRDV3I40559
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 1192-1194

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