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In this work, we present a novel region-based active contour technique to extract the breast boundary in mammograms. Skin-line extraction in mammograms is non-trivial due to the presence of noise and scanning artifacts. Also, weak contrast near the skin-line boundary, especially in the case of low-density breasts, poses a lot of difficulty in its(More)
This paper presents a methodology for estimating the normalized transient stability margin by using the multilayered perceptron (MLP) neural network. The complex relationship between the input variables and output variables is established by using the neural networks. The nonlinear mapping relation between the normalized transient stability margin and the(More)
This paper presents a novel methodology for Artificial Neural Network training by using Regrouping Particle Swarm Optimization (Regrouping-PSO). The Particle Swarm Optimization (PSO) can be used to optimize a particular objective function. The basic PSO is suffered from the stagnation problem. In Regrouping-PSO this stagnation problem can be avoided by(More)
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