DocumentCode :
475598
Title :
A Novel Approach for Segmenting and Classifying Shadow Image
Author :
Bin, Rao ; Shenggui, Ci ; Tiemin, Chen ; Gang, Zheng
Author_Institution :
Flight simulator training Center, Civil aviation flight Univ. of China, Guanghan
Volume :
1
fYear :
2008
fDate :
3-4 Aug. 2008
Firstpage :
92
Lastpage :
95
Abstract :
The disadvantages of domestic and oversea shadow image edge detection algorithms are analyzed. A novel shadow detection algorithm based on edge growing and rough set theory and subsequent solution is proposed. We describe how to detect image edge using condition attribution of rough set in this paper. Also, the method of thinning and connection for shadow edge using edge growing from the edge nodes is proposed. As can be seen from the experimental analysis, the method we proposed has better performance in edge detection and image segmentation.
Keywords :
edge detection; image classification; image segmentation; rough set theory; condition attribution; edge detection; rough set theory; shadow detection algorithm; shadow image classification; shadow image segmentation; Colored noise; Geometry; Image analysis; Image edge detection; Image segmentation; Layout; Light sources; Management training; Mobile communication; Set theory; edge detection; image segmentation; rough set; shadow classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
Type :
conf
DOI :
10.1109/CCCM.2008.28
Filename :
4609476
Link To Document :
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