Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation

Alaa Khadidos, Victor Sanchez, Chang-Tsun Li

    Research output: Book chapter/Published conference paperConference paperpeer-review

    10 Citations (Scopus)
    5 Downloads (Pure)

    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.
    Original languageEnglish
    Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014 - Proceedings
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages902-906
    Number of pages5
    ISBN (Print)9781479957514
    DOIs
    Publication statusPublished - 2014
    Event2014 21st IEEE International Conference on Image Processing: ICIP 2014 - CNIT La Defense, Paris, France
    Duration: 27 Oct 201430 Oct 2014
    http://www.icip2014.com/

    Conference

    Conference2014 21st IEEE International Conference on Image Processing
    Country/TerritoryFrance
    CityParis
    Period27/10/1430/10/14
    OtherThe International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing.
    Internet address

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