Tahereh Hassanzadeh

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Segmentation is a low level operation that can segment the image in discrete and homogenous regions. Otsu’s method for image segmentation selects an optimum threshold by maximizing the variance Intra-clusters in a gray level image. However, with increasing the number of classes, the total runtimes also increase exponentially. Due to the fact, that a large(More)
In this paper, a new evolutionary optimization model, called CLA-FA, is proposed. This new model is a combination of a model called cellular learning automata (CLA) and the Firefly Algorithm (FA). In the proposed algorithm, at first we modify the firefly algorithm to improve the efficiency of this algorithm then we use this algorithm with CLA. in the(More)
Data clustering is a common technique for data analysis and is used in many fields, including data mining, pattern recognition and image analysis. K-means clustering is a common and simple approach for data clustering but this method has some limitation such as local optimal convergence and initial point sensibility. Firefly algorithm is a swarm based(More)
The firefly algorithm (FA), which is usually used in optimization problems, is a stochastic, population-based algorithm inspired by the intelligent, collective behavior of fireflies in nature. In the standard FA, each firefly in each neighborhood is compared with other fireflies, and the less-bright firefly moves toward the brighter one (in the maximization(More)
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