Abstract
Nowadays a lot of information in the form of digital content is easily accessible but finding the relevant image is a big problem. This is where the Content Based Image Retrieval (CBIR) comes in to solve the image retrieval dilemma. But a CBIR system faces certain problems such as a strong signature development. Also, one of the major challenges of CBIR is to bridge the gap between the low level features and high level semantics. Previously, several researchers have proposed to improve the performance of a CBIR system but they have only answered image retrieval problem to an extent. In this paper, we propose a new CBIR signature that uses color color histogram. The results of the proposed method are compared previous method from the literature. The results of the proposed system demonstrates high accuracy rate than the previous systems in the simulations. The proposed system has significant performance.
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Imran, M., Hashim, R., Abd Khalid, N.E. (2013). New Approach to Image Retrieval Based on Color Histogram. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_54
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DOI: https://doi.org/10.1007/978-3-642-38715-9_54
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