DocumentCode :
510313
Title :
The Segmentation of Overlapping Milk Somatic Cells Based on Improved Watershed Algorithm
Author :
Na, Su ; Heru, Xue
Author_Institution :
Coll. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., Hohhot, China
Volume :
3
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
563
Lastpage :
566
Abstract :
In view of the shape irregularity and the stack phenomenon in milk somatic cell pictures. An improvement watershed method is proposed in the paper, which is mainly used in resolving the over-segmentation problem in watershed algorithm. Its main idea is: distance transformation is used for binary image firstly, obtaining the central points in the local maximum regions (seed points), and merging the redundancy seed points. This makes the oversegmentation problem was basically solved. Finally the small areas are deleted after watershed segmentation. Experiments show that the improved watershed method can accurately and quickly separate the milk somatic cells and control the oversegmentation. The effect is obvious.
Keywords :
automatic optical inspection; biotechnology; dairy products; image segmentation; medical image processing; production engineering computing; quality control; binary image; distance transformation; image segmentation; improved watershed algorithm; local maximum regions; overlapping milk somatic cell segmentation; quality detection; redundancy seed points; shape irregularity; Agricultural engineering; Artificial intelligence; Computational intelligence; Corrosion; Dairy products; Educational institutions; Image segmentation; Merging; Shape; Transforms; cell separation; image segmentation; milk somatic cell; watershed algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.211
Filename :
5376820
Link To Document :
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