A Survey on Classification and Clustering of Images Using Evolutionary Techniques

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  2. March 2018
Vikas Gupta

A Survey on Classification and Clustering of Images Using Evolutionary Techniques

Keywords : Image, classification, features, texture, spectral, contextual, Ant Bee Colony, ABC, GLCM, Entropy, contrast


Abstract

Image processing has provided ample area of scope of research in the medical diagnostics of CT images of Brain, liver and chest etc. A thorough survey and comparative analysis of the classifiers or classification techniques implemented by investigators illustrated the dependency of the classification methods on the types of data sets being selected, types of features extracted and the features selected for the purpose of classification. The need of standardized classifier or classification technique for different types of data sets, to achieve required results, has been highlighted. Also the survey depicts that the results of different classifiers are different for the same dataset. Analysis shows the use of hybridized techniques to improve the performance of system classification accuracy based on classifiers like KNN, SVM, SOM and ABC etc but this can be further optimized using evolutionary techniques.

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