An image thresholding method using a minimum weighted squared-distortion criterion-Reference-Cited by-同舟云学术

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An image thresholding method using a minimum weighted squared-distortion criterion

Published:1995-07 Issue:7 Volume:28 Page:1063-1071
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Morii Fujiki

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference11 articles.

1. A survey on image segmentation;Fu;Pattern Recognition,1981

2. A threshold selection method from gray-level histograms;Otsu;IEEE Trans. Syst., Man and Cybern.,1979

3. An automatic threshold selection method based on discriminant and least squares criteria;Otsu;Trans. IECE Japan,1980

4. Picture thresholding using an iterative selection method;Ridler;IEEE Trans. Syst., Man and Cybern.,1978

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1. The Image Segmentation of Osmanthus fragrans Based on Optimization Algorithms;2022 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC);2022-04-22

2. An imaging approach for the automatic thresholding of photo defects;Pattern Recognition Letters;2015-08

3. A modified valley-emphasis method for automatic thresholding;Pattern Recognition Letters;2012-04

4. Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization;IEEE Transactions on Medical Imaging;2009-05

5. A hidden Markov model-based character extraction method;Pattern Recognition;2008-09

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