A Segmentation Algorithm Using Dyadic Wavelet Transform and Discrete Dynamic Contour

B. C Y Chiu, G. H. Freeman, M. M A Salama, A. Fenster, K. Rizkalla, D. B. Downey

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

4 Citations (Scopus)

Abstract

Due to the quality of the ultrasound image, it is very difficult to develop a computerized method for defining the boundary of an object in this type of image. This paper focuses on developing a semi-automatic method for detecting the boundary of a prostate. The algorithm is based on Mallat's multiscale edge detection method and the discrete dynamic contour (DDC) model. The DDC model is made up of a set of connected vertices. When provided with an energy field that describes the features of the ultrasound image, the model automatically adjusts the vertices of the contour to attain a maximum energy. The proposed algorithm requires the user to enter four initialization points. The DDC model then updates the contour according to an energy field assigned based on the gradient modulus of the smoothed image obtained using the dyadic wavelet transform.
Original languageEnglish
Title of host publicationCCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology
Pages1481-1484
Volume3
Publication statusPublished - 2003
Externally publishedYes
EventCCECE 2003 Canadian Conference on Electrical and Computer Engineering: Toward a Caring and Humane Technology - Montreal, Canada
Duration: 4 May 20037 May 2003

Publication series

NameCanadian Conference on Electrical and Computer Engineering
ISSN (Electronic)0840-7789

Conference

ConferenceCCECE 2003 Canadian Conference on Electrical and Computer Engineering: Toward a Caring and Humane Technology
PlaceCanada
CityMontreal
Period4/05/037/05/03

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