Characteristic analysis of Otsu threshold and its applications

@article{Xu2011CharacteristicAO,
  title={Characteristic analysis of Otsu threshold and its applications},
  author={Xiangyang Xu and Shengzhou Xu and Lianghai Jin and Enmin Song},
  journal={Pattern Recognition Letters},
  year={2011},
  volume={32},
  pages={956-961}
}
 Goal – This paper proves that Otsu threshold is equal to the average of the mean levels of two classes partitioned by this threshold. – This paper proposes an improved Otsu algorithm that constrains the search range of gray levels. 2/22 μ0(T∗ ) μ1(T∗ ) T∗ Tp Introduction  Thresholding methods – Histogram shape-based method – Clustering-based method(Otsu) – Mutual information method – Attribute similarity-based method – Local adaptive segmentation method  Property of Otsu threshold – Otsu… CONTINUE READING
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