DocumentCode
2269178
Title
An Improved Threshold De-Noising Algorithm Based on Multi-Wavelet for Cell Image Edge Detection
Author
Ji, Guangrong ; Zheng, Haiyong ; Qiao, Xiaoyan ; Li, Yanxia
Author_Institution
Dept. of Electron. Eng., Ocean Univ. of China, Qingdao
Volume
3
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
362
Lastpage
365
Abstract
The selection of threshold function is one of the key factors in multi-wavelet de-noising. In this paper a new algorithm based on the improvement of threshold and multi-level threshold of multi-wavelet de-noising is proposed. According to this algorithm a new method of edge detection is used to extract the contour feature of cell images. As the basic research for cell image recognition, this edge detection algorithm is proved more effective by the experimental results.
Keywords
biology computing; cellular biophysics; edge detection; image denoising; cell image edge detection; cell image recognition; image multiwavelet denoising algorithm; Feature extraction; Frequency estimation; Image denoising; Image edge detection; Image recognition; Information technology; Low-frequency noise; Noise reduction; Oceans; Wavelet coefficients; Cell Image Edge Detection; Cell Image Recognition; Multi-wavelet; Threshold De-noising;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3497-8
Type
conf
DOI
10.1109/IITA.2008.79
Filename
4740019
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