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
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;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281060