In this paper, three image features are proposed for image retrieval. In addition, a feature
selection technique is also brought forward to select optimal features to not only maximize …

Image retrieval from databases or from the Internet needs an efficient and effective
technique due to the explosive growth of digital images. Image retrieval is considered as an …

Abstract Content Based Image Retrieval (CBIR) is an important step in addressing image
storage and management problems. Latest image technology improvements along with the …

In this paper a fuzzy approach for image retrieval on the basis of color features is presented.
The proposal deals with vagueness in the color description and introduces the use of fuzzy …

This paper proposes three image features for use in image retrieval. The first image feature
is based on color distribution and is called an adaptive color histogram (ACH). The second …

This paper presents the different approaches by which the video image retrieval systems
can become more efficient. In today's world large database not only create the problem but …

The selection of “proper similarity measure” of color histograms is an essential consideration
for the success of many methods. The Histogram Quadratic Distance Measure (HQDM) is a …

A novel image feature called color variances among adjacent objects (CVAAO) is proposed
in this study. Characterizing the color variances between contiguous objects in an image …

In this paper we combine computer vision and data mining techniques to model high-level
concepts for image retrieval, on the basis of basic perceptual features of the human visual …

In this paper, a new growing region algorithm to segment colour images is proposed. A
region is defined as a fuzzy subset of connected pixels and it is constructed using …