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
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;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.79
