The effective content-based image retrieval (CBIR) needs efficient extraction of low level
features like color, texture and shapes for indexing and fast query image matching with …

An effective Content-Based Image Retrieval (CBIR) system is based on efficient feature
extraction and accurate retrieval of similar images. Enhanced images by using proper filter …

The aim of this study is to take advantage of both shape and texture properties of image to
improve the performance of image indexing and retrieval algorithm. Further, a framework for …

Abstract Research on Content-Based Image Retrieval is being done to improvise existing
methods. Most of the techniques that were proposed use color and texture features …

Content-based image retrieval (CBIR) deals with the retrieval of most similar images
corresponding to a query image from an image database by using visual contents of the …

Due to the recent technology development, the multimedia complexity is noticeably
increased and new research areas are opened relying on similar multimedia content …

Image retrieval is an active research area in image processing, pattern recognition, and
computer vision. For the purpose of effectively retrieving more similar images from the digital …

Content based image retrieval (CBIR) has become one of the most active research areas in
the past few years. Many indexing techniques are based on global feature distributions …

Content based image retrieval (CBIR) provides an effective way to search the images from
the databases. The feature extraction and similarity measures are the two key parameters for …

Content based image retrieval has gained considerable attention in nowadays as a very
useful tool in a plethora of applications. Web has become the most important application …