DocumentCode :
2736673
Title :
Automatic image edge extraction and segmentation by random seed region search algorithm
Author :
Wenhua, Ji ; Huiming, Yu ; Yuanyuan, Liu
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
Volume :
2
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
1095
Abstract :
This paper proposes a new automatic image edge extraction and segmentation method. Firstly, We extract the image´s edge automatically by random seed regions search algorithm. Obviously, we can choose the initial seed randomly and automatically. Moreover, we can adjust segmentation threshold automatically depending on contrast of image. Then, we conclude that our algorithm is effective comparing with the other´s popular image edge extraction and segmentation methods.
Keywords :
edge detection; feature extraction; image segmentation; search problems; automatic image edge extraction; image contrast; image segmentation method; random seed region search algorithm; segmentation threshold adjustment; Algorithm design and analysis; Data mining; Digital images; Image edge detection; Image segmentation; Information science; Performance analysis; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1281060
Filename :
1281060
Link To Document :
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