Survey on Selection of Features for Content Based Image Retrieval in Image Mining

Abstract

Image mining is the process of searching and discovering valuable information and knowledge in large volumes of data. It is a challenging field which extends traditional data mining from structured data to unstructured data such as image data. Image Mining is focused on extracting patterns, implicit knowledge, image data relationship or patterns which are not explicitly found in the images from databases or collections of images. The actual data analysis techniques suffer from the huge amount of complex data to process. So, in order to process this huge amount of data, efficient extraction of features is much more important. This paper presents a survey on various feature extraction techniques for image mining that were proposed earlier in literature. Also, this paper provides a marginal overview for future research and improvements.