A Review Paper Based on Content-Based Image Retrieval

Abstract

The quantity and complexity of digital image data is rapidly expanding. The user does not meet the demands of traditional information recovery technology, so an efficient system for content-based image collection must be developed. The image recovery from material becomes a source of reliable and rapid recovery. In this paper, characteristics such as color correlogram, texture, form, edge density are compared. For understanding and acquiring much better knowledge on a specific subject, literature surveys are most relevant. In this paper, we discuss some technical aspects of the current image recovery systems based on content.