Stochastic Approach To Image Retrieval Using Relevance Feedback And Particle Swarm Optimization Project

Stochastic approach to image retrival using relevance feedback and particle swarm optimization is a 2010 CSE project which is implemented in java platform. Main aim of this project is to implement new method in intelligent image retrival system by using particle swarm optimizer which is used to grasp users semantics through optimized iterative understanding. In present seanrio we need to compare visual query by converting parameters and compare by a computer which is a challenging task in intelligent image retieval.

This project consists of front end part with features to load database details, view database, reload database. User can submit query by selecting image from system using browser option. When submit query is performed image is searched in database and result is displayed on GUI. User can save feedback by selecting searched image from list.

 

download Stochastic approach to image retrival using relevance feedback and particle swarm optimization is a 2010 CSE project base paper and documentation.

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