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Sensors 2013, 13(3), 3724-3738; doi:10.3390/s130303724
Article

Multipass Active Contours for an Adaptive Contour Map

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Received: 5 February 2013; in revised form: 5 March 2013 / Accepted: 11 March 2013 / Published: 15 March 2013
(This article belongs to the Special Issue Medical & Biological Imaging)
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Abstract: Isocontour mapping is efficient for extracting meaningful information from a biomedical image in a topographic analysis. Isocontour extraction from real world medical images is difficult due to noise and other factors. As such, adaptive selection of contour generation parameters is needed. This paper proposes an algorithm for generating an adaptive contour map that is spatially adjusted. It is based on the modified active contour model, which imposes successive spatial constraints on the image domain. The adaptability of the proposed algorithm is governed by the energy term of the model. This work focuses on mammograms and the analysis of their intensity. Our algorithm employs the Mumford-Shah energy functional, which considers an image’s intensity distribution. In mammograms, the brighter regions generally contain significant information. Our approach exploits this characteristic to address the initialization and local optimum problems of the active contour model. Our algorithm starts from the darkest region; therefore, local optima encountered during the evolution of contours are populated in less important regions, and the important brighter regions are reserved for later stages. For an unrestricted initial contour, our algorithm adopts an existing technique without re-initialization. To assess its effectiveness and robustness, the proposed algorithm was tested on a set of mammograms.
Keywords: biomedical image processing; active contours; level sets; contour map; Mumford-Shah energy functional; level set evolution without re-initialization; initial contour problem; local optimum problem biomedical image processing; active contours; level sets; contour map; Mumford-Shah energy functional; level set evolution without re-initialization; initial contour problem; local optimum problem
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Kim, J.H.; Park, B.-Y.; Akram, F.; Hong, B.-W.; Choi, K.N. Multipass Active Contours for an Adaptive Contour Map. Sensors 2013, 13, 3724-3738.

AMA Style

Kim JH, Park B-Y, Akram F, Hong B-W, Choi KN. Multipass Active Contours for an Adaptive Contour Map. Sensors. 2013; 13(3):3724-3738.

Chicago/Turabian Style

Kim, Jeong H.; Park, Bo-Young; Akram, Farhan; Hong, Byung-Woo; Choi, Kwang N. 2013. "Multipass Active Contours for an Adaptive Contour Map." Sensors 13, no. 3: 3724-3738.



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