Authors:
Luigi Cinque
1
;
Rossella Cossu
2
and
Rosa Maria Spitaleri
2
Affiliations:
1
Universitá degli Studi, Italy
;
2
CNR, Italy
Keyword(s):
Speckle, Image Segmentation, Level Set, Partial Differential Equation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Cardiovascular Imaging and Cardiography
;
Cardiovascular Technologies
;
Health Engineering and Technology Applications
;
Pattern Recognition
;
Signal Processing
;
Software Engineering
Abstract:
An image segmentation process, based on the level set method, consists in the time evolution of an initial
curve until it reaches the boundary of the objects to be extracted. Classically the evolution of the initial curve
is determined by a speed function. In this paper, the speed in the level set procedure is characterized by the
combination of two different speed functions and the resulting algorithm is applied to speckled images, like
SAR (Synthetic Aperture Radar) images. In order to assess improvements of the segmentation performance,
the computational process is tested on synthetic and then applied to real images. Performances are evaluated
on synthetic images by using the Hausdorff distance. The real SAR images were acquired during the ERS2
mission.