Study of Slice Cell Counting System

Shuai Yuan; Guo Yun Zhang; Jian Hui Wu; Long Yuan Guo

doi:10.4028/www.scientific.net/AMM.571-572.788

Paper Titles

Study on Application of CAD Used in Visual Advertising Design
p.768

The Research of Ortho-Rectification to QuickBird Image with more Mountains Based on ERDAS10.0
p.772

Tomato Disease Image Retrieval Based on Composite Features
p.777

Upper-Body Pose Recognition Using Cylinder Pattern Model
p.781

Study of Slice Cell Counting System
p.788

Food Submergence Calculation and Analysis Using Digital Elevation Model and Geographical Information System
p.792

A Video Characteristics Watermarking Algorithm Based on Bees Evolutional Computation
p.796

Rock Image Pore Identification Based on Fuzzy C-Means Clustering and Neural Networks
p.803

An RFID-Assisted Digital Souvenir Generation System
p.807

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572Study of Slice Cell Counting System

Study of Slice Cell Counting System

Abstract:

Slice cell counting system has been widely applied for medical clinical field, which studies image smoothing, threshold segmentation, morphologic processing and cell information statistics based on digital image processing technology. This paper presents system design and realization of counting technology for slice cells. Cell microscopic image is smoothed by adopting mean filtering method at first. Then HIS threshold segmentation method is used for further analysis. There are five steps in morphologic processing including hole filling, erosion, thinning, center point modification and edge extraction to search cells. Cell information statistics including number, average radius and area is carried on finally. Test result shows that the method presented has good accuracy, quick speed and strong robustness for realtime application.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

788-791

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.788

Citation:

Cite this paper

Online since:

June 2014

Authors:

Shuai Yuan*, Guo Yun Zhang, Jian Hui Wu, Long Yuan Guo

Keywords:

Edge Extraction, Erosion, Image Smoothing, Mean Filtering, Morphologic Processing, Slice Cell Counting System, Thinning, Threshold Segmentation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Weiqi Yuan, Weimin Yang: Computer automatic count device for blood cell. Journal of Medical Equipment. Vol. 2 (1997), pp.8-10 (In Chinese).

Google Scholar

[2] Ximin Liu, Lihua Bai, Qinggang Zhang, Bingzhang Xu, Yuelin Xing: Study of recognition and counting technology for color slice cell. Journal of Shandong Normal University (Natural Science). Vol. 2 (2003), pp.32-34 (In Chinese).

Google Scholar

[3] Weiqi Yuan, Tianwen Zhang: A count method for the image of blood cell. Journal of Computer Applications and Software. Vol. 5 (2000), pp.61-64 (In Chinese).

Google Scholar

[4] Junli Liu, Heru Xue: The method research of somatic cells counting base on image processing. Journal of Inner Mongolia Agricultural University (Natural Science Edition). Vol. 4 (2006), pp.140-144 (In Chinese).

Google Scholar