DocumentCode :
2864408
Title :
A New Idea for Color Annual Ring Image Segmentation Adaptive Region Growing Algorithm
Author :
Zhu Qi ; Ren Hong-e
Author_Institution :
Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
3
Abstract :
Adaptive region growing algorithm in color annual ring image segmentation makes good use of color and spatial information of regions, and combined with the edge information so as to adaptive changes growth conditions, solves the problem of the regional fault. Compared to the traditional algorithms, the new one combined with watershed algorithm can select the seeds automatically, the complete shape features of original image are preserved and clear edge of annual ring is detected. This method has very good noise immunity. Thus favorable precondition is created for the features extraction of annual ring.
Keywords :
edge detection; feature extraction; forestry; image segmentation; adaptive changes growth conditions; adaptive region growing algorithm; color annual ring image segmentation; edge information; features extraction; noise immunity; regional fault; watershed algorithm; Background noise; Color; Colored noise; Corporate acquisitions; Educational institutions; Forestry; Image edge detection; Image segmentation; Noise shaping; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5366257
Filename :
5366257
Link To Document :
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