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| Two-Dimensional Linear-Type Mnimum Error Threshold Segmentation Method |
| Fan Jiu-lun; Lei Bo |
| Department of Information and Control, Xi'an Institute of Post and Telecommunications, Xi'an 710061, China |
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Abstract One-dimensional minimum error thresholding method assumes that the histogram distributions of object and background are governed by a mixture Gaussian distribution. Considering the affects of noise and other factors on image quality, based on the assumption of two-dimensional mixture Gaussian distribution, a two-dimensional linear-type minimum error threshold segmentation method is proposed on two-dimensional gray-level histogram. In order to improve the running speed, a fast recursive formula is also given. Experimental results show that the new method is a valuable image segmentation method which can be well adapted to the cases where the variances of the object and the background are distinctly different and contains noises.
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Received: 06 October 2008
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2009, Vol. 31 
