The color image processing technology of the milk somatic cells

Author

Wang, Yuedong ; Xue, Heru

Author_Institution

Coll. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., Huhhot, China

Volume

4

fYear

2010

fDate

16-18 April 2010

Abstract

Image processing is widely applied in the field of the biology and medicine domain, however, the study of the milk somatic cell image processing technology is a new topic currently. This paper carries on the pre-processing to the milk somatic cell images firstly. Then in the foundation of the selection of the color space and the analysis based on the SOM algorithm, the milk somatic cell color images are segmented using the SOM neural network in a specific color space, and the overlapping cells are separated. Ultimately obtains the image of somatic cell count through the Fire Spread method.

Keywords

cellular biophysics; dairy products; image colour analysis; image segmentation; self-organising feature maps; SOM algorithm; SOM neural network; biology; color image processing; color space selection; fire spread method; image segmentation; medicine; milk somatic cell; Algorithm design and analysis; Biomedical imaging; Cells (biology); Dairy products; Image analysis; Image color analysis; Image processing; Image segmentation; Neural networks; Space technology; SOM neural network; component; image processing; the SCC; the milk somatic cell;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485594

Filename

5485594