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Function and Information Driven Frameworks for Image Mining – A Review
T.KARTHIKEYAN, P.MANIKANDAPRABHU Associate Professor, Department of Computer Science, PSG College of Arts and Science, Coimbatore Research Scholar, Department of Computer Science, PSG College of Arts and Science, Coimbatore
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Abstract: The rapid growth of image data in a variety of medium has necessitated a way of making good use of the rich content in the images. Image mining is the process of finding useful images in large image archives. The essential of image mining is high in view of the rapidly expanding bundle of image data. In this paper, we analyse the two image mining framework such as function driven and information driven overall process and discuss the main technology of image mining. The function driven framework spotlighted on the functionalities of different module parts to classify image mining systems. Information-driven framework focused for explicit information hierarchy. Finally, we conclude some research directions and problems of image mining are presented.
Keywords: data mining, image processing, image mining, image mining framework, function-driven framework, information-driven framework.
Keywords: data mining, image processing, image mining, image mining framework, function-driven framework, information-driven framework.
How to Cite:
[1] T.KARTHIKEYAN, P.MANIKANDAPRABHU Associate Professor, Department of Computer Science, PSG College of Arts and Science, Coimbatore Research Scholar, Department of Computer Science, PSG College of Arts and Science, Coimbatore, βFunction and Information Driven Frameworks for Image Mining – A Review,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
