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Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (1): 54-61    DOI: 10.1631/jzus.C0910797
    
New separation algorithm for touching grain kernels based on contour segments and ellipse fitting
Lei Yan1,2, Cheol-Woo Park1, Sang-Ryong Lee1, Choon-Young Lee*,1
1 School of Mechanical Engineering, Kyungpook National University, Daegu 702-701, Korea 2 School of Technology, Beijing Forestry University, Beijing 100083, China
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Abstract  A new separation algorithm based on contour segments and ellipse fitting is proposed to separate the ellipse-like touching grain kernels in digital images. The image is filtered and converted into a binary image first. Then the contour of touching grain kernels is extracted and divided into contour segments (CS) with the concave points on it. The next step is to merge the contour segments, which is the main contribution of this work. The distance measurement (DM) and deviation error measurement (DEM) are proposed to test whether the contour segments pertain to the same kernel or not. If they pass the measurement and judgment, they are merged as a new segment. Finally with these newly merged contour segments, the ellipses are fitted as the representative ellipses for touching kernels. To verify the proposed algorithm, six different kinds of Korean grains were tested. Experimental results showed that the proposed method is efficient and accurate for the separation of the touching grain kernels.

Key wordsSeparation algorithm      Touching grains      Contour segments      Ellipse fitting     
Received: 29 December 2009      Published: 10 January 2010
CLC:  TP391  
Fund:  Project supported by the Grant of the Korean Ministry of Education, Science and Technology under the Regional Core Research Program
Cite this article:

Lei Yan, Cheol-Woo Park, Sang-Ryong Lee, Choon-Young Lee. New separation algorithm for touching grain kernels based on contour segments and ellipse fitting. Front. Inform. Technol. Electron. Eng., 2011, 12(1): 54-61.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C0910797     OR     http://www.zjujournals.com/xueshu/fitee/Y2011/V12/I1/54


New separation algorithm for touching grain kernels based on contour segments and ellipse fitting

A new separation algorithm based on contour segments and ellipse fitting is proposed to separate the ellipse-like touching grain kernels in digital images. The image is filtered and converted into a binary image first. Then the contour of touching grain kernels is extracted and divided into contour segments (CS) with the concave points on it. The next step is to merge the contour segments, which is the main contribution of this work. The distance measurement (DM) and deviation error measurement (DEM) are proposed to test whether the contour segments pertain to the same kernel or not. If they pass the measurement and judgment, they are merged as a new segment. Finally with these newly merged contour segments, the ellipses are fitted as the representative ellipses for touching kernels. To verify the proposed algorithm, six different kinds of Korean grains were tested. Experimental results showed that the proposed method is efficient and accurate for the separation of the touching grain kernels.

关键词: Separation algorithm,  Touching grains,  Contour segments,  Ellipse fitting 
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