A Review on Image Classification Approaches and Techniques

Authors

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

Keywords:

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

Abstract

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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-12-08

Issue

Volume 2, Issue 6, November-December-2016

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.