In this paper, a novel feature descriptor named “correlated microstructure descriptor
(CMSD)” is proposed for image retrieval. CMSD represents high level semantics by …

The execution of (ERISE) framework depends on proficient feature extraction and exact
recovery of comparative enhancement of resulting images. This paper represents a brief …

In a world of multimedia information, where users seek accurate results against search
query and demand relevant multimedia content retrieval, developing an accurate content …

Content Based Image Retrieval is a process to get a desired image from a substantial
database. We propose a template for shape based hierarchical feature matching approach …

Content Based Image retrieval (CBIR) has a important place in research field. This paper
deals with the realization of different approaches used in image retrieval based on content …

The increased need of content based image retrieval technique can be found in a number of
different domains such as Data Mining, Education, Medical Imaging, Crime Prevention …

Image search techniques were not generally based on visual features but on the textual
annotation of images. Images were firstly annotated with text and then searched using a text …

The meaning of Image retrieval is to getting the initial image from the reproduced images. In
this review paper, we have discuss about most recent systems in the area of image …

This present a hybrid approach of image classification using KNN and feature extraction
using LBP and steerable pyramid based image retrieval system that uses color, contours …