A Review on Image Classification Approaches and Techniques

Authors(2) :-Prof. Divyanshu Rao, Deepti Thakur

Object Classification is an important task within the field of computer vision. Image classification refers to the labelling of images into one of a number of predefined categories. Classification includes image sensors, image pre-processing, object detection, object segmentation, feature extraction and object classification. Many classification techniques have been developed for image classification. In this survey various classification techniques are considered; Artificial Neural Network(ANN), Decision Tree(DT), Support Vector Machine(SVM) and Fuzzy Classification.

Authors and Affiliations

Prof. Divyanshu Rao
Shri Ram Institute of Technology, Jabalpur, Madhya Pradesh, India
Deepti Thakur
Shri Ram Institute of Technology, Jabalpur, Madhya Pradesh, India

Image Classification, Artificial Neural Network, Decision Tree, Support Vector Machine, Fuzzy Classifier.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2016
Date of Publication : 2016-12-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 356-360
Manuscript Number : IJSRSET162689
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Prof. Divyanshu Rao, Deepti Thakur, " A Review on Image Classification Approaches and Techniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.356-360, November-December-2016. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET162689

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