The Application of Fuzzy C Mean Clustering Algorithm on Image Processing Based on .NET Component

Yue Shen Lai; Tian Ming Ma; Jun Wei Tian

doi:10.4028/www.scientific.net/AMR.433-440.3536

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440The Application of Fuzzy C Mean Clustering...

The Application of Fuzzy C Mean Clustering Algorithm on Image Processing Based on .NET Component

Abstract:

Using mixed programming of MATLAB.NET component and C# with the fuzzy C means clustering algorithm in image processing. Create MWArray Interface, full use of C# programming interface of the good and citing MATLAB generated dynamic link library (dll). The image processing operations through the dll into the FCM segmentation function of the MATLAB, and return threshold value. Finally, complete segmentation of gray image. Experimental results show that this method keeps the same segment effect as that the traditional FCM has. Using C # reference MATLAB Program, simple software interface programming, enhanced security, and expanded scope of use.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

3536-3542

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.3536

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Online since:

January 2012

Authors:

Yue Shen Lai, Tian Ming Ma, Jun Wei Tian

Keywords:

C#, Fuzzy C Mean (FCM) Clustering Algorithm, Image Segmentation, MATLAB, Thresholding

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