Implementation of Intelligent Medical Image Retrieval System HIPS

Intelligent Content Based Image Retrieval System

The main objective of this paper is to design An Intelligent Content Based Image Retrieval System for retrieving better results (similar images) from large image database with respect to an input query image. In this research work, we have used features like Color, Texture and shape with separate and combined effects. For making CBIR system intelligent, we have applied Non Linear Neural Network...

Intelligent Image Archival and Retrieval System

An Intelligent Web Image Retrieval System

Recently, the web sites such as e-business sites and shopping mall sites deal with lots of image information. To find a specific image from these image sources, we usually use web search engines or image database engines which rely on keyword only retrievals or color based retrievals with limited search capabilities. This paper presents an intelligent web image retrieval system. We propose the ...

Implementation of Clustering-Based Image Retrieval System

Digital images are useful media for storing spatial, spectral and temporal components of information. Large image databases often store the images in compressed format, JPEG for example. This paper examines the algorithms of direct extraction of low level features from compressed images, working with three different clustering techniques. Results indicate that a K-Harmonic means clustering algo...

Towards intelligent image retrieval

Research into techniques for the retrieval of images by semantic content is still in its infancy. This paper reviews recent trends in the "eld, distinguishing four separate lines of activity: automatic scene analysis, model-based and statistical approaches to object classi"cation, and adaptive learning from user feedback. It compares the strengths and weaknesses of model-based and adaptive tech...