On active contour models and balloons
CVGIP: Image Understanding
Digital Image Processing
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Snakes for Medical Images Segmentation
EvoIASP '99/EuroEcTel '99 Proceedings of the First European Workshops on Evolutionary Image Analysis, Signal Processing and Telecommunications
Optimal Mutation Rates in Genetic Search
Proceedings of the 5th International Conference on Genetic Algorithms
Review: A comparative study of deformable contour methods on medical image segmentation
Image and Vision Computing
Introduction to Genetic Algorithms
Introduction to Genetic Algorithms
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
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Active contour, due to acceptable results in the field of image segmentation, has attracted more attention in the last several decades. However, the low quality and the presence of noise in medical images, particularly ultrasound images have also created some limitations for this method, such as Entrapment within the local minima and adjustment of the contour coefficients. In this paper, we present a segmental algorithm combined active contour and genetic algorithm to remove these limitations and bring some improvements to the segmentation outcome. The experimental results show that our proposed algorithm has an acceptable accuracy.