Counting of Microscopic Cells Based on Grads Hough Transform

Abstract:

Article Preview

In order to improve the accuracy and efficiency of automatic counting of microscopic cells, the method based on the Hough transform has been proposed. And the standard Hough transform has been improved using image gradient information. Compared with the traditional counting methods based on mathematical morphology and boundary tracking tags, the accuracy of the counting accuracy has been greatly improved. The results show the accuracy and efficiency of counting of the microscopic cells based on grads Hough transform is improved.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

7607-7612

DOI:

10.4028/www.scientific.net/AMR.383-390.7607

Citation:

J. J. Chen et al., "Counting of Microscopic Cells Based on Grads Hough Transform", Advanced Materials Research, Vols. 383-390, pp. 7607-7612, 2012

Online since:

November 2011

Export:

Price:

$35.00

[1] Yuan Weiqi, Zhang Tianwen, A counter method for the image of blood cell, Computer applications and software, pp.61-64, May (2000).

[2] Dai Jing, Mu Pingan, Dai Shuguang, Research on image method at counting cells in culture liquid, Chinese Journal of Scientific Instrument, vol. 23, pp.186-188, June (2002).

[3] Liu Junli, Xue heru, The method research of somatic cells counting based on image processing, Journal of Inner Mongolia Agricultural University(Natural Science Edition) . vol. 27, pp.140-144, April (2006).

[4] Bonnet N, An unsupervised generalized Hough transform for natural shapes, Pattern Recognition, vol. 35, pp.1193-1196, May (2002).

DOI: 10.1016/s0031-3203(01)00219-9

[5] Zhang Yujin. Image project image analysis (2nd edition), Beijing: Tsinghua university press, 2005, pp.140-143.

[6] Sun Huixian, Zhang Yuhua, Luo Feilu, Boundary recognition of an aperture based on fuzzy fast hough transform, Acta Photonica Sinica, vol. 39, pp.335-339 , February (2010).

DOI: 10.3788/gzxb20103902.0335

[7] Wang Xiaohua, Xie Junting, Li Benwu, A new algorithm for detecting circles based on gradient angles, Mechanical & Electrical Engineering Magazine, vol. 25, pp.30-32, May (2008).

In order to see related information, you need to Login.