DocumentCode :
3510147
Title :
A new image segmentation approach based on linked pyramid
Author :
Ping, Yin ; Runsheng, Wang ; Diannong, Liang
Author_Institution :
Dept. of Electron. Tech., Nat. Univ. of Defense Technol., Hunan, China
Volume :
2
fYear :
1996
fDate :
14-18 Oct 1996
Firstpage :
1118
Abstract :
Pyramid-based image segmentation is a kind of very precise, universal and efficient method. A new image segmentation approach based on this idea is presented. A new way to build a pyramid of an image and a new strategy of identifying the root nodes are developed. In this approach: (1) the Gaussian filter function with changeable filter scales is used to build a pyramid, so as to decrease the loss of the original image information; (2) the relationship among the pixels which are in both level-in and level-between is used to determine the root nodes. The new approach need not know the image information in advance. A satisfactory result can be obtained even in a low signal-to-noise ratio image
Keywords :
Gaussian processes; filtering theory; image segmentation; tree data structures; Gaussian filter function; changeable filter scales; image segmentation; linked pyramid; low signal-to-noise ratio; root nodes; Image processing; Image recognition; Image resolution; Image sampling; Image segmentation; Information filtering; Information filters; Pixel; Signal resolution; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
Type :
conf
DOI :
10.1109/ICSIGP.1996.566290
Filename :
566290
Link To Document :
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