A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions.

Abstract:

:The aim of this study was to provide mathematical descriptors for the border of pigmented skin lesion images and to assess their efficacy for distinction among different lesion groups. New descriptors such as lesion slope and lesion slope regularity are introduced and mathematically defined. A new algorithm based on the Catmull-Rom spline method and the computation of the gray-level gradient of points extracted by interpolation of normal direction on spline points was employed. The efficacy of these new descriptors was tested on a data set of 510 pigmented skin lesions, composed by 85 melanomas and 425 nevi, by employing statistical methods for discrimination between the two populations.

journal_name

IEEE Trans Med Imaging

authors

Grana C,Pellacani G,Cucchiara R,Seidenari S

doi

10.1109/TMI.2003.815901

subject

Has Abstract

pub_date

2003-08-01 00:00:00

pages

959-64

issue

8

eissn

0278-0062

issn

1558-254X

journal_volume

22

pub_type

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