A Review on Content based Image Classification Techniques |
Author(s): |
| Miss Rajashri Pravin Mahajan , J.T.Mahajan College of Engineering, Faizpur, India; Prof. S. V. Patil, J.T.Mahajan College of Engineering, Faizpur, India |
Keywords: |
| Image classification, Support Vector Machine (SVM), Feature Extraction, Machine Learning |
Abstract |
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Image classification is essential field of research in computer vision. Growing rate of multimedia data, remote sensing as well as web photo gallery require a category of different image for the proper retrieval of user. Various researchers are relevant dissimilar approach for image classification such as segmentation, clustering and some machine learning approach intended for the classification of image. Content of image such as color, texture and shape and size plays an important role in semantic image categorization except the proper selection of feature are challenging task of classification, so various authors apply a few machine learning approach for image classification such as decision tree, RBF network, Markova model and support vector machine. |
Other Details |
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Paper ID: IJSRDV4I50074 Published in: Volume : 4, Issue : 5 Publication Date: 01/08/2016 Page(s): 60-63 |
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