The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …

For more than a decade Content Based Image Retrieval is topic of interest for researcher.
The three primitive visual features, namely, color, texture and shape refers to the term …

In this paper, we present the results of applying global morphological texture descriptors to
the problem of content-based remote sensing image retrieval. Specifically, we explore the …

The traditional watershed algorithm has the disadvantage of over-segmentation and
interference with an image by reflected light. We propose an improved watershed color …

In this paper, structure elements' descriptor (SED)–a novel texture descriptor, is proposed.
SED can effectively describe images and represent image local features. Moreover, SED …

Content-based image retrieval (CBIR) has been an active research topic in the last decade.
Feature extraction and representation is one of the most important issues in the CBIR. In this …

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 …

Bearing performance degradation assessment is a key step of condition-based
maintenance. In this paper, a novel indicator of bearing performance degradation …

In this paper, we proposed multi-factors correlation (MFC) to describe the image, structure
element correlation (SEC), gradient value correlation (GVC) and gradient direction …

Feature extraction and representation is one of the most important issues in the content-
based image retrieval. In this paper, we propose a new content-based image retrieval …