Mircea M. Ionescu

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— The performance of Content-Based Image Retrieval (CBIR) systems is mainly depending on the image similarity measure it use. The Fuzzy Hamming Distance (À) is an extension of Hamming Distance for real-valued vectors. Because the feature space of each image is real-valued the Fuzzy Hamming Distance can be successfully used as image similarity measure. The(More)
A linear search in a Content-Based Image Retrieval (CBIR) system is time consuming. Like any database system an indexing technique is mandatory for the system to be efficient. This paper studies the application of clustering algorithms to a Fuzzy Hamming Distance based CBIR system for building the image index. The study shows good results using complete(More)
As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. so nowadays the content based image retrieval are becoming a source of exact and fast retrieval. In this paper the techniques of content based image retrieval are discussed, analysed and(More)
— Fuzzy Hamming Distance is successfully used in a Content-Based Image Retrieval (CBIR) system as a similarity measure. The system performs a m × n partitioning of the compared images and for each partitions pairs evaluates FHD. In the last step the FHD are defuzzified and the results are combined in a final score. In order to take full advantage of the use(More)
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