@inbook{4bf43d0e106b4d1fb0b6c64b97c8be84,
title = "Semi-automatic seed points selection in fuzzy connectedness approach to image segmentation",
abstract = "A new method improving the fuzzy connectedness approach to medical image segmentation is described. The segmentation based on fuzzy connectedness relies on a fuzzy connectivity scene creation by assigning a strength of connectedness to each possible path between some predefined seed point located inside an object and any other image element and performing the thresholding. The new idea is to automatically choose more seed points inside, as well as outside the segmented structure, in order to improve the method effectiveness and to reduce the computational time. The selection is based on two points marked manually. The method has been tested on a set of 3D Computed Tomography (CT) lung images with delineated nodules. Examples and results of this method applied to the segmentation of lung nodules are shown.",
author = "Pawel Badura and Ewa Pietka",
year = "2007",
doi = "10.1007/978-3-540-75175-5\_85",
language = "English",
isbn = "9783540751748",
series = "Advances in Soft Computing",
pages = "679--686",
editor = "Marek Kurzynski and Michal Wozniak and Andrzej Zolnierek and Edward Puchala",
booktitle = "Computer Recognition Systems 2",
}