A new effective and powerful image segmentation method

Authors:
Yalin Miao;Xianglin Miao;Zhengzhong Bian;Kai Chen;Gang Yu
Affiliations:
School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China;School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China;School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China;School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China;School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

Citing 4
Cited 0

On Optimal Infinite Impulse Response Edge Detection Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
An optimizing line finder using a Hough transform algorithm

Computer Vision and Image Understanding
A Discrete Expression of Canny's Criteria for Step Edge Detector Performances Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
On optimal linear filtering for edge detection

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new algorithm for image segmentation named radar algorithm is proposed in this paper. The proposed algorithm is based on SOM network model, the mathematical morphology and physical simulation. This new algorithm is simple and easy to use while with powerful functions. The time complexity of the radar algorithm is 90*O(n3). Further, the proposed algorithm has better robustness. The experimental results show that the Radar algorithm is an effective and powerful image segmentation method. It has wide applications in image segmentation especially in the processing of images with discontinuous edges.