Digital Image Processing

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Selection of an Efficient Image Classifier-A Critical Analysis


Affiliations
1 Department of Computer Science and Applications, Utkal University, Vani Vihar, Odisha, India
     

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The most important part of image analysis is classification which helps in grouping the pixels in an image into different categories on the basis of their information content. Classification concept which was originated from pattern recognition field has a widespread application in satellite image analysis and medical diagnosis. Classification also helps in reducing the search time by grouping same type of images, so that, the searching operation can be conducted on the specific group of images instead of searching all the images. On the basis of parameters used for classification, the image classification techniques can be divided into different types. A large number of studies have been conducted for classifying images using different types of classification algorithms. The aim of this paper is to perform a detailed review of the classification algorithms and do a comparative study of the work done by the researchers on image classification.


Keywords

Classification, Supervised Classifiers, Unsupervised Classifiers, Hard and Soft Classifiers.
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  • Selection of an Efficient Image Classifier-A Critical Analysis

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Authors

Shashwati Mishra
Department of Computer Science and Applications, Utkal University, Vani Vihar, Odisha, India
Mrutyunjaya Panda
Department of Computer Science and Applications, Utkal University, Vani Vihar, Odisha, India

Abstract


The most important part of image analysis is classification which helps in grouping the pixels in an image into different categories on the basis of their information content. Classification concept which was originated from pattern recognition field has a widespread application in satellite image analysis and medical diagnosis. Classification also helps in reducing the search time by grouping same type of images, so that, the searching operation can be conducted on the specific group of images instead of searching all the images. On the basis of parameters used for classification, the image classification techniques can be divided into different types. A large number of studies have been conducted for classifying images using different types of classification algorithms. The aim of this paper is to perform a detailed review of the classification algorithms and do a comparative study of the work done by the researchers on image classification.


Keywords


Classification, Supervised Classifiers, Unsupervised Classifiers, Hard and Soft Classifiers.

References