Efficient image Data Extraction using Image Clustering Technique

Abstract

Extracting the domain knowledge from huge data sets are more complex today because of growing technology. This technology brings huge sets of data from every users. This gives the complex data sets, from this content extraction of needed knowledge are challenging task for many users. The proposed frameworks achieves full automation via a knowledge-based video indexing and retrieve an appropriate result, and replace a presented object with the retrieval result in real time. Along with this indexing mechanism a histogram-based color descriptors also introduced to reliably capture and represent the color properties of multiple images.  Including of this a classification approach is also carried out by the classified associations and identified by proper tickets. Proposed techniques works well in all type of data sets. Experimental outputs verified this results.