Tecno-Streams approach for content-based image retrieval

Content-based image retrieval (CBIR) is based on a collective method of various techniques for retrieving images through the appropriate features, such as color, texture and shape. Despite of selecting an effective collection of features for each image, it is significant to use appropriate and relevant criterion to measure the similarity between a query image and all the available images in the dataset. In this paper we are introducing a new and effective similarity measurement criterion. In other words, in order to retrieve the images in an impressive way, an artificial immune system (AIS) clustering algorithm, called Tecno_Streams, is proposed for content-based image retrieval. According to experimental results the proposed image retrieval immune-based system is more applicable and effective than the other methods such as histogram based criterion.