Image Segmentation via Fractal Transformation: Improving Ida's Image Segmentation Scheme

Autor:	Ryuji Tokunaga, Hyunbea You, Noriyoshi Shiraki
Rok vydání:	2002
Předmět:	business.industry Segmentation-based object categorization Fractal transform Scale-space segmentation Image segmentation Image plane Transformation (function) Fractal Segmentation Computer vision Artificial intelligence Electrical and Electronic Engineering business Mathematics
Zdroj:	Electronics and Communications in Japan (Part III: Fundamental Electronic Science). 85:66-72
ISSN:	1520-6440 1042-0967
DOI:	10.1002/ecjc.1088
Popis:	Ida and colleagues have proposed an image segmentation scheme in which a new application of fractal coding is used to iterate pixel transformations on the image plane. However, in Ida's segmentation scheme some problems remain because domains with multiple labels or indefinite boundaries are generated. In this paper, a solution to these problems is proposed, in which labeling is performed by periodic points and labels are corrected by fractal transformation. © 2001 Scripta Technica, Electron Comm Jpn Pt 3, 85(4): 66–72, 2002
Databáze:	OpenAIRE
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