Elliptical Distance Transforms And Object Splitting

Talbot, H. and Appleton, B. C. (2002). Elliptical Distance Transforms And Object Splitting. In: Talbot, Hugues and Beare, Richard, International Symposium on Mathematical Morphology, Sydney, Australia, (229-240). April, 2002.

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Author Talbot, H.
Appleton, B. C.
Title of paper Elliptical Distance Transforms And Object Splitting
Conference name International Symposium on Mathematical Morphology
Conference location Sydney, Australia
Conference dates April, 2002
Publication Year 2002
Sub-type Fully published paper
Open Access Status
Editor Talbot, Hugues
Beare, Richard
Start page 229
End page 240
Abstract/Summary The classical morphological method to separate fused objects in binary images is to use the watershed transform on the complement of the distance transform of the binary image. This method assumes roughly disk-like objects and cannot separate objects when they are fused together beyond a certain point. In this paper we revisit the issue by assuming that fused objects are unions of ellipses rather than mere disks. The problem is recast in terms of finding the constituent primary grains given a boolean model of ellipses. To this end, we modify the well-known pseudo-Euclidean distance transform algorithm to generate arbitrary elliptical distance transforms to reduce the dimension of the problem and we present a goodness-of-fit measure that allows us to select ellipses. The results of the methods are given on both synthetic sample boolean models and real data.
Subjects 280208 Computer Vision
Keyword binary object segmentation
blob splitting
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

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Created: Mon, 07 Mar 2005, 10:00:00 EST by Ben Appleton on behalf of Scholarly Communication and Digitisation Service