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Image Mining using Content Based Image Retrieval System

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TLDR
This paper examines the State-of - art technology-Image mining techniques which is based on the Color Histogram, texture of him Image, and concludes that a single set of Algorithm cannot define the complete set of operations on the field of Image Mining.
Abstract
The image depends on the Human perception and is also based on the Machine Vision System. The Image Retrieval is based on the color Histogram, texture. The perception of the Human System of Image is based on the Human Neurons which hold the 10 12 of Information; the Human brain continuously learns with the sensory organs like eye which transmits the Image to the brain which interprets the Image. The research challenge is that how the brain processes the information in the semantic manner is hot area of research till date. Hence we can say that a single set of Algorithm cannot define the complete set of operations on the field of Image Mining. This Paper examines the State-of - art technology-Image mining techniques which is based on the Color Histogram, texture of him Image. The query Image is taken then the Color Histogram and Texture is taken and based on this the resultant Image is output.

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Journal Article

A Survey on Image Mining Techniques: Theory and Applications

TL;DR: A survey on various image mining techniques that were proposed earlier in literature is presented, to generate all significant patterns without prior information of the patterns.
Journal ArticleDOI

Well-Organized Content based Image Retrieval System in RGB Color Histogram, Tamura Texture and Gabor Feature

TL;DR: Experimental results show that Gabor Feature method is more efficient when comparing with other methods, and also shows that RGB Color Histogram, Tamura Texture and Gabor feature method are more efficient than other methods.
Journal ArticleDOI

A survey on web multimedia mining

TL;DR: The purpose of this paper is to provide a systematic overview of multimedia mining and represents the issues in the application process component for multimedia mining followed by the multimedia mining models.

An Experiential Survey on Image Mining Tools, Techniques and Applications

TL;DR: This paper elaborates the research works already done in image mining and also summarizes different tool developed, algorithms emerged and the applications of image mining used to extract the useful images in various fields.

A survey on content based image retrieval system

TL;DR: This paper presents a survey on various image mining techniques that are proposed earlier and the development of the Image Mining technique is based on the Content Based Image Retrieval system.
References
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