purpose: the purpose of the present study is to investigate the image search and retrieval problems in selected search engines in relation to the persian writing style challenges. methodology: this study is an applied one. in orderto answer the questions an evaluative method and direct observation were used. the aim of the research is to explore the morphological and semantic problems of persia...

The current most desirable image retrieval feature is retrieving images based on their semantic content. Currently there are two major image retrieval paradigms that attempt to provide this: text-based metadata image retrieval and content-based image retrieval. In practical applications, both have limitations. In this paper, we discuss an ontology-based image retrieval approach that aims to sta...

Nowadays, with huge progress in digital imaging, new image processing methods are needed to manage digital images stored on disks. Image retrieval has been one of the most challengeable fields in digital image processing which means searching in a big database in order to represent similar images to the query image. Although many efficient researches have been performed for this topic so far, t...

This paper attempts to discuss the evolution of the retrieval techniques focusing on development, challenges and trends of the image retrieval. It highlights both the already addressed and outstanding issues. The explosive growth of image data leads to the need of research and development of Image Retrieval. However, Image retrieval researches are moving from keyword, to low level features and ...

the goal of this paper is to present use of fusion techniques in content based image retrieval. this techniques improve semantic value of user queries. Hence, improve performance of content based image retrieval system. Basically, Images are expressed at different semantic levels. Content Based Image Retrieval is growing technologies for bridging the semantic gap that presently prevents deploym...