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