Abstract
Active contour methods (ACM) are model-based approaches for image segmentation and were developed in the late 1980s. ACM can be divided into two classes: parametric active contour model and geometric active contour model. Geometric method is intrinsic model. Because of its completeness in mathematics, geometric active contour model overcomes many difficulties of the parametric active contour model. However, in medical images with heavy structural noise, the evolution of the geometric active contour will be seriously affected. To handle this problem, this paper proposed a multiscale geometric active contour model, based on the multiscale analysis method—bidimensional empirical mode decomposition. In the human kidney MR images, the proposed multiscale geometric active contour model successfully extracts the complex kidney contour.
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Li, L., Gu, J., Wen, T., Qin, W., Xiao, H., Yu, J. (2014). Multiscale Geometric Active Contour Model and Boundary Extraction in Kidney MR Images. In: Zhang, Y., Yao, G., He, J., Wang, L., Smalheiser, N.R., Yin, X. (eds) Health Information Science. HIS 2014. Lecture Notes in Computer Science, vol 8423. Springer, Cham. https://doi.org/10.1007/978-3-319-06269-3_23
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DOI: https://doi.org/10.1007/978-3-319-06269-3_23
Publisher Name: Springer, Cham
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