Digital image libraries and other multimedia databases have been dramatically expanded in
recent years. In order to effectively and precisely retrieve the desired images from a large …

In this paper we describe a segmentation method applied to images which are compressed
by using Fuzzy Transforms. The segmentation of the images is realized via the FGFCM (Fast …

In recent years, with the development of digital image techniques and digital albums in the
Internet, the use of digital image retrieval process has increased dramatically. An image …

Color, texture and shape information have been the primitive image descriptors in content
based image retrieval systems. Here novel framework for combining all the three ie color …

The extraction of features and its demonstration from the large database is the major issue in
content based image retrieval (CBIR). The image retrieval is interesting and fastest …

The internet is one of the best media to disseminate scientific and technological research
results [1, 2, 6]. It deals with the implementation of a web-based extensible architecture that …

Widespread use of digital imagery has resulted in a need to manage large collections of
images. Systems providing query by example (QBE) capability offer improved access to …

This paper, we proposed a novel framework for combining and weighting all of three ie
color, shape and texture features to achieve higher retrieval efficiency. The color feature is …

There has been in depth analysis and numerous researches on image matching and
storage. Major software distributors providing RDBMS provide image storage based on …

Content-based image classification and retrieval are the automatic processes of taking an
unseen image input and extracting its features representing the input image. Then, for the …