VIBGYOR indexing technique for image mining

Abstract

The numbers of digital images are increasing day by day and mining from large databases is becoming harder & harder. Indexing image data based on text is tiresome and error prone. If the indexing based on low-level feature of the image then it may reduce the workload and mining become faster. In this research paper we propose an indexing technique which indexes the digital images in the database by the highest color percentage. The images will be automatically classified by its own low-level feature i.e. Color. Implementation of this technique will be benefits the image mining.