Characteristic analysis of Otsu threshold and its applications

By Xiangyang Xu, Shengzhou Xu, Lianghai Jin, E. Song. Pattern Recognition Letters, 2011

604 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/a7e05b4e1d746be98d0fb80cc8a05523e34de45e

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In Computer Vision and Pattern Recognition

1. Jinzhu Lu
2. Li Tan
3. Huanyu Jiang

Citations in the corpus

• Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification (2021, methodology): “Although the Otsu method works well with regard to time consumption and is threshold adaptive, it will not produce an appropriate threshold when the gray-level histogram approximates a unimodal distribution [95].”