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
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;
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
DOI :
10.1109/ETCS.2009.417
