Wavelet-based Semi-automatic Segmentation of Image Objects


Haenselmann, Thomas ; Schremmer, Claudia ; Effelsberg, Wolfgang


URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=...
Document Type: Conference or workshop publication
Year of publication: 2000
Book title: Signal and image processing : [proceedings of the IASTED international conference] ; November 19 - 23, 2000, Las Vegas, Nevada, USA
Page range: 387-392
Author/Publisher of the book
(only the first ones mentioned)
:
Hamza, Mohamed H.
Place of publication: Anaheim, Calif. [u.a.]
Publishing house: IASTED/Acta Press
ISBN: 0-88986-308-3
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg -2017)
Subject: 004 Computer science, internet
Abstract: We present a wavelet-based algorithm to cut an object out of an image in a semi-automatic manner. The user of the algorithm selects a piece of a boundary that separates an object from the background. In contrast to other well-known segmentation algorithms, this sample boundary does not have to be a sharp edge, but might also be a smooth transition between two shades or a texture. Based on a multi-scale wavelet analysis of the sample area our algorithm seeks a path around the object by analyzing characteristic frequencies.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Haenselmann, Thomas ; Schremmer, Claudia ; Effelsberg, Wolfgang Wavelet-based Semi-automatic Segmentation of Image Objects. Hamza, Mohamed H. 387-392 In: Signal and image processing : [proceedings of the IASTED international conference] ; November 19 - 23, 2000, Las Vegas, Nevada, USA (2000) Anaheim, Calif. [u.a.] [Conference or workshop publication]


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