A Regularized Contrast Statistic for Object Boundary Estimation-Implementation and Statistical Evaluation

نویسندگان

  • Finbarr O'Sullivan
  • Maijian Qian
چکیده

We propose an optimization approach ~o the estimation a simple closed curve describing the boundary of an object represented in an image. This problem arises in a variety of applications, such as template matching schemes for medical image registration. A regularized optimization formulation with an objective function that measures the normalized image contrast between the inside and outside of a boundary, is considered. Efficient numerical methods are developed to implement the approach and a set of simulation studies are carried out to quantify statistical performance characteristics in the context of boundary determination in emission computed tomography (ECT) These results are quite promising. The approach is highly automated which offers some practical advantages over currently used technologies in the medical imaging l.tel~eClho:I£, non-linear opi'imizatiol1£, Slrml'LlatzO:I£. "This research was SuplpOlted in part the National Institutes of Health under CA-42593 and CA-61046. We are gra.tefuI to Costa a.nd John McDonald for us to several illumiJilating references.

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عنوان ژورنال:
  • IEEE Trans. Pattern Anal. Mach. Intell.

دوره 16  شماره 

صفحات  -

تاریخ انتشار 1994