Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and ...

Genetic algorithms (GAs) have been found to be effective in the domain of medical image segmentation, since the problem can often be mapped to one of search in a complex and multimodal landscape. The ...

In previous work, algorithms have been decomposed into basic algorithmic components and then recomposed into brand new algorithms using a genetic algorithm. The algorithm is composed in full prior to ...

Furthermore, by integrating conditional spatial functions into the segmentation framework, the algorithm gains the ability to adapt its smoothing behavior based on the local context of the image with ...

The SmRG, an open-source Matlab-based algorithm for the segmentation of complex structures in 3D confocal or 2-photon image stacks, overcome these setbacks. It provides an accurate reconstruction of ...

In this paper, a new intelligence algorithm, particle swarm opti-mization (PSO), is presented for multilevel thresholding in image segmentation. This algorithm is used to maximize the Kapur’s and Otsu ...