Maedeh Beheshti

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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(More)
The accurate segmentation of biomedical images has become increasingly important for recognizing cells that have the phenotype of interest in biomedical applications. In order to improve the conventional deterministic segmentation models, this paper proposes a novel graph-cut cell image segmentation algorithm based on Bayes theorem. There are two(More)
Color image histograms are very useful tools for content based image retrieval (CBIR) that can be applied on features such as colour, texture and shape. As these kinds of histograms results with large variations between neighbouring bins, they seem so sensitive to any kind of changes such as noise, illumination. To overcome this problem, in this paper,(More)
The standards of power system monitoring, control and protection are elevated by Phasor Measurement Units (PMUs) as an auspicious tool. It is the purpose of this paper to determine the optimal number and locations of PMUs so as to make the system measurement model observable and also estimate the power system state. The proposed modelling approach which(More)
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