@inproceedings{f85360d339b04c179e94a203ff876121,
title = "Improved two-dimensional Otsu based on firefly optimization for low signal-to-noise ratio images",
abstract = "To improve two-dimensional (2D) Otsu thresholding{\textquoteright}s performance in both computation speed and segmentation quality, an improved 2D Otsu algorithm is proposed for low Signal-to-noise Ratio (SNR) images. A new 2D histogram is defined based on median gray-scale and Gaussian average gray-scale. By meeting better to the assumption of that the object{\textquoteright}s probability and the background{\textquoteright}s probability sum up to 1, the new 2D histogram enhances the thresholding algorithm{\textquoteright}s robustness to severe noise. Then a scheme of calculating the fitness function based on firefly optimization algorithm is employed to search for optimal thresholds. The proposed algorithm is applied to typical low SNR images–microscopic images of ocean plankton, and to Lenna test image. Experiment results show that with better thresholding quality, the running time of the proposed algorithm is reduced to 2.5\% of the conventional 2D Otsu.",
keywords = "Firefly optimization, Plankton microscopic image analysis, Two dimensional Otsu thresholding",
author = "Li Li and Jianwei Liu and Mingxiang Ling and Yuanyuan Wang and Hongwei Xia",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 8th International Conference on Swarm Intelligence, ICSI 2017 ; Conference date: 27-07-2017 Through 01-08-2017",
year = "2017",
doi = "10.1007/978-3-319-61824-1\_66",
language = "英语",
isbn = "9783319618234",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "611--617",
editor = "Ying Tan and Hideyuki Takagi and Yuhui Shi",
booktitle = "Advances in Swarm Intelligence - 8th International Conference, ICSI 2017, Proceedings",
address = "德国",
}