Content-based image retrieval (CBIR) is a collection of techniques for retrieving images on
the basis of features, such as color, texture and shape. An efficient tool, which is widely used …

A conventional color histogram (CCH) considers neither the color similarity across different
bins nor the color dissimilarity in the same bin. Therefore, it is sensitive to noisy interference …

The traditional method of color histogram creation is to equally subdivide a color space (eg
RGB, HSI) into a certain number of bins and then count the number of pixels each bin …

This study has proposed a new method of color representation, and a method of similarity
measurement in order to overcome the disadvantages of a color histogram. The existing …

Traditionally, content based image retrieval was based on the representation of the image
content through the firstorder or second-order distribution of some features thought to be …

Indexing and Fuzzy Logic-Based Retrieval of Color Images | Proceedings of the IFIP TC2/WG 2.6
Second Working Conference on Visual Database Systems II skip to main content ACM Digital …

ABSTRACT A novel technique for Content based image retrieval (CBIR) that employs color
histogram and color moment of images is proposed. The color histogram has the …

Retrieval of images based on visual features such as color, texture and shape have proven
to have its own set of limitations under different conditions. Various techniques have been …

In this paper we present a scheme for fuzzy similarity based strategy to retrieve an image
from a library of color images. Color features are among the most important features used in …

Abstract Traditional Content-Based Image Retrieval (CBIR) systems were developed for
retrieving similar kinds of images from a whole image database based on the given query …