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- W2551873246 abstract "Markov Stationary Features (MSF) not only considers the distribution of colors like histogram method does, also characterizes the spatial co-occurrence of histogram patterns. However, handling large scale database of images, simple MSF method is not sufficient to discriminate the images. In this paper, we have proposed a robust content based image retrieval algorithm that enhances the discriminating capability of the original MSF. The proposed Multidimensional MSF (MMSF) algorithm extends the MSF by generating multiple co-occurrence matrices with different quantization levels of an image. Publicly available WANG1000 and Corel10800 databases are used to evaluate the performance of the proposed algorithm. The experimental result justifies the effectiveness of the proposed method." @default.
- W2551873246 created "2016-11-30" @default.
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- W2551873246 date "2016-11-19" @default.
- W2551873246 modified "2023-10-07" @default.
- W2551873246 title "Multidimensional Markov Stationary Feature for Image Retrival Systems" @default.
- W2551873246 doi "https://doi.org/10.3329/rujse.v44i0.30396" @default.
- W2551873246 hasPublicationYear "2016" @default.
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