IMPROVED SYSTEM FOR RETRIEVAL OF COLOR LOGO IMAGES USING PSO, SOM AND RELEVANCE FEEDBACK TECHNIQUE

Abstract

The colour logo identification has one of the key problems of bridging the difference between low-level characteristics and high-level semantics, as the consumer wants to. Relevance feedback (RF) along with self-organizing map (SOM) have been successfully introduced to resolve this void. However, the efficiency of the automated map (SOM) based RF is always low when the feedback sample is limited. This paper proposed a new technology, namely the SOM-SOM-RF that combines SOM-based RF with warm particle optimization, to boost RF performance (PSO). The aim of this proposed technology is to increase SOM-based RF efficiency and also to minimise user encounters with the device by reducing its RF number. On 3000 colour logo pictures, the PSO-SOM-RF was tested. The findings from the tests revealed the high precision of the proposed PSO-SOM-RF.