DocumentCode
3502852
Title
The Comparative Research on Image Segmentation Algorithms
Author
Kang, Wen-Xiong ; Yang, Qing-Qiang ; Liang, Run-Peng
Author_Institution
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou
Volume
2
fYear
2009
fDate
7-8 March 2009
Firstpage
703
Lastpage
707
Abstract
As the premise of feature extraction and pattern recognition, image segmentation is one of the fundamental approaches of digital image processing. This paper enumerates and reviews main image segmentation algorithms, then presents basic evaluation methods for them, finally discusses the prospect of image segmentation. Some valuable characteristics of image segmentation come out after a large number of comparative experiments.
Keywords
edge detection; feature extraction; image segmentation; digital image processing; edge-based segmentation; feature extraction; image segmentation algorithm; pattern recognition; Colored noise; Digital images; Educational technology; Filters; Image edge detection; Image segmentation; Laplace equations; Merging; Neural networks; Pixel; Image segmentation; edge detection; the evaluation of image segmentation; thresholding techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.417
Filename
4959132
Link To Document