A region merging algorithm using mathematical morphology: application to macula detection
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Parallel Simulated Annealing Algorithms in Global Optimization
Journal of Global Optimization
Introduction to Genetic Algorithms
Introduction to Genetic Algorithms
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In this paper, we present an approach to improve detectors used in medical image processing by fine-tuning their parameters for a certain dataset. The proposed algorithm uses a stochastic search algorithm to deal with large search spaces. We investigate the effectiveness of this approach by evaluating it on an actual clinical application. Namely, we present promising results with outperforming four state-of-the-art algorithms used for the detection of the center of the sharp vision (macula) in digital fundus images.