Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In this paper a new method of automatic image segmentation is presented. In proposed approach a region merging method is applied, where pixels or pixel groups are merged to bigger areas. In the proposed method of the region merging seed settings, segmentation parameter definition, and number of outcome areas determining can be omitted. Homogeneous clusters (consisting of continuous groups of pixels) are the part of the growth process. The clusters are merged when the homogeneousness condition is fulfilled. The threshold value changes during segmentation process, appropriate to the changeable conditions.
Rocznik
Tom
Strony
205--212
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
autor
- Department of Biomedical Computer Systems, Institute of Computer Science, Faculty of Computer and Materials Science, University of Silesia in Katowice, ul. Będzińska 39, 41-200 Sosnowiec
autor
Bibliografia
- [1] GONZALEZ R.C.: Computer Vision. Yearbook of Science and Technology, McGraw-Hill, New York, pp. 128-132.
- [2] HOROWITZ S.L., PAVLIDIS T.: Picture Segmentation by a Directed Split-and-Merge Procedure. Proc. 2nd Int. Joint Conf. Pattern Recog., pp. 424-433.
- [3] PAVLIDIS T.: Segmentation of Pictures and Maps through Functional Approximation. Comp. Graph. Image Proc., vol. 1, pp. 360-372.
- [4] SERRA. J.: Image Analysis and Mathematical Morphology. Volume 2: Theoretical Advances. Academic Press, 1988.
- [5] LAMECKER H., LANGE T., SEEBß M.: Automatic Segmentation of the Liver for Preoperative Planning of Resections. Proceedings MMVR, Studies in Health Technologies and Informatics 94, IOS Press, 2003, pp. 171-174.
- [6] LAMŻA A., TRELA M., BIAŁY S., WRÓBEL Z.: Agent-based method of automatic image segmentation with dynamic threshold. IEEE Signal Processing 2004, Poznań, pp. 71-74.
- [7] LAMŻA A., WRÓBEL Z.: Bezparametrowa adaptacyjna metoda segmentacji obrazów. Modelowanie i Pomiary w Medycynie 2005, Krynica, s. 127-136.
- [8] VEENMAN C.J., REINDERS M.J.T., BACKER E.: A Cellular Coevolutionary Algorithm for Image Segmentation. IEEE Transactions on Image Processing, March 2003, Vol. 12, No. 3, pp. 304-316.
- [9] WRÓBEL Z., KOPROWSKI R.: Praktyka przetwarzania obrazu w programie MATLAB. Wydawnictwo Exit, Warszawa 2004.
- [10] ZIELIŃSKI K.W., STRZELECKI M.: Komputerowa analiza obrazu biomedycznego. Wstęp do morfometrii i patologii ilościowej. Wydawnictwo Naukowe PWN, Warszawa – Łódź 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0007-0021