DocumentCode
547252
Title
Image segmentation and major approaches
Author
Li, Qiaowei ; Yang, Shuangyuan ; Zhu, Senxing
Author_Institution
Software Sch., Xiamen Univ., Xiamen, China
Volume
2
fYear
2011
fDate
10-12 June 2011
Firstpage
465
Lastpage
468
Abstract
Image segmentation is very essential and critical to image processing and pattern recognition, but it is always a classical difficult problem. This paper introduces the basic conception of Image segmentation and gives a summary of image segmentation techniques available now, Such as “thresholding”, “clustering”, “edge detection”, as well as their advantages and disadvantages, providing some assistance for next research.
Keywords
edge detection; image segmentation; pattern clustering; edge detection; image clustering; image segmentation; image thresholding; pattern recognition; Algorithm design and analysis; Artificial neural networks; Clustering algorithms; Computers; Image edge detection; Image segmentation; Pixel; Clustering; Edge detection; Fuzzy; Image segmentation; Neural network; Region growing; Thresholding;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952509
Filename
5952509
Link To Document