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

2. Outline
Introduction
Proposed scheme
Experimental results
Conclusions

3. Introduction
Bi-level
Thresholding
Multi-level

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

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

6. Experimental results(1/3)
2 level thresholding
PSNR: dB
4 level thresholding
6 level thresholding
8 level thresholding
PSNR: dB
PSNR: dB
PSNR: dB

7. Experimental results(2/3)

8. Experimental results(3/3)

9. 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.