Grey-level hit-or-miss transforms—Part II: Application to angiographic image processing
Résumé
The hit-or-miss transform (HMT) is a fundamental operation on binary images, widely used since 40 years. As it is not increasing, its
extension to grey-level images is not straightforward, and very few authors have considered it. Moreover, despite its potential usefulness,
very few applications of the grey-level HMT have been proposed until now. Part I of this paper [B. Naegel, N. Passat, C. Ronse, Grey-level
hit-or-miss transforms—part I: unified theory. Pattern Recogn., in press, doi:10.1016/j.patcog.2006.06.004] was devoted to the description
of a theory enabling to unify the main definitions of the grey-level HMT, mainly proposed by Ronse and Soille, respectively. Part II of
this paper, developed hereafter, deals with the applicative potential of the grey-level HMT, illustrated by its use for vessel segmentation
from 3D angiographic data. Different HMT-based segmentation methods are then described and analysed, leading to concrete analysis
techniques for brain and liver vessels, but also providing algorithmic strategies which could further be used for many other kinds of image
processing applications.
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