Extracting The Features of Web Images:Effective Methods of Image Mining Techniques (original) (raw)

International journal of engineering research and technology, 2018

Abstract

Due to the digitization of data and advances in technology, it has become extremely easy to obtain and store large quantities of data, particularly Multimedia data. Mining Image data is the one of the essential features in this present scenario since image data plays vital role in every aspect of the system such as business for marketing, hospital for surgery, engineering for construction, Web for publication and so on. Feature selection and extraction is the pre-processing step of Image Mining. Obviously this is a critical step in the entire scenario of Image Mining. To extract patterns and derive knowledge from large collections of images, deals mainly with identification and extraction of unique features for a particular domain. There are various features available in the image, to identify the best features and thereby extract relevant information from the images. In this paper, we have proposed three effective methods of image mining techniques (QBIR, BTA, and clustering algorithm) for extracting the features of the web image.

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