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Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation
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Khadidos, Alaa, Sanchez Silva, Victor and Li, Chang-Tsun (2014) Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation. In: IEEE International Conference on Image Processing (ICIP 2014), Paris, France, 27-30 Oct 2014. Published in: 2014 IEEE International Conference on Image Processing (ICIP) pp. 902-906. doi:10.1109/ICIP.2014.7025181
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Official URL: http://dx.doi.org/10.1109/ICIP.2014.7025181
Abstract
Active contours, or snakes, have been widely used for image segmentation purposes. However, high noise sensitivity and poor performance over weak edges are the most acute issues that hinder the segmentation accuracy of these curves, particularly in medical images. In order to overcome these issues, we propose a novel external force that integrates gradient vector flow (GVF) field forces and balloon forces based on a weighting factor computed according to local image features. The proposed external force reduces noise sensitivity, improves performance over weak edges and allows initialization with a single manually selected point. We evaluate the proposed external force for segmentation of various regions on real MRI and CT slices. Evaluation results show that the proposed approach leads to more accurate segmentation than snakes using traditional external forces
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques, Diagnostic imaging, Image segmentation | ||||||
Journal or Publication Title: | 2014 IEEE International Conference on Image Processing (ICIP) | ||||||
Publisher: | IEEE | ||||||
Official Date: | 2014 | ||||||
Dates: |
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Page Range: | pp. 902-906 | ||||||
DOI: | 10.1109/ICIP.2014.7025181 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Date of first compliant deposit: | 18 December 2015 | ||||||
Date of first compliant Open Access: | 18 December 2015 | ||||||
Embodied As: | 1 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | IEEE International Conference on Image Processing (ICIP 2014) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Paris, France | ||||||
Date(s) of Event: | 27-30 Oct 2014 | ||||||
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