Source: Pattern Recognition Letters 29 (2008)

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Presentation transcript:

Multilevel thresholding for image segmentation through a fast statistical recursive algorithm Source: Pattern Recognition Letters 29 (2008) 119-125 Author: S. Arora, J. Acharya, A. Verma, Prasanta K. 　Panigrahi Speaker: Chia-Ming Yeh Date: 2008/4/23

Outline Introduction Proposed scheme Experimental results Conclusions

Introduction Bi-level Thresholding Multi-level

The proposed scheme (1/2) Threshold: 2 Mean: Stand deviation: a b

The proposed scheme (2/2) Threshold: 6 Mean: Stand deviation: Repeat: times a a b b

Experimental results(1/3) 2 level thresholding PSNR: 19.65 dB 4 level thresholding 6 level thresholding 8 level thresholding PSNR: 25.90 dB PSNR: 28.46 dB PSNR: 29.20 dB

Experimental results(2/3)

Experimental results(3/3)

Conclusions A method has been proposed that uses mean and variance of pixel distribution to naturally provide a non-uniform multi-segmentation scheme. The procedure is quite fast to implement.