Noisy Image Segmentation based on Artificial Bee Colony Algorithm

机译：基于人工蜂菌落算法的嘈杂的图像分割

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摘要

Segmentation of noisy images is one of the most challenging problems in image analysis. It hasn't yet been solved very well. In this paper, we propose a new method for image segmentation, which is able to segment two kinds of noisy images. The experimental results prove that Artificial Bee Colony Algorithm performs better for two types of noisy images.

机译：嘈杂图像的分割是图像分析中最具挑战性问题之一。它尚未得到解决。在本文中，我们提出了一种新的图像分割方法，能够分割两种噪声图像。实验结果证明，人造蜜蜂菌落算法对两种类型的噪声图像进行了更好。

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《International Conference on Manufacturing Technology and Electronics Applications》|2014年||共4页
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XIAO Yonghao; HE Zhuobin; HU Yao; YU Weiyu;
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中图分类 TH16-53;
关键词
Artificial bee colony algorithm; Multi-level threshold; PSNR; Noisy image segmentation;

机译：人造群落殖民算法;多级阈值;PSNR;嘈杂的图像分割;

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2. Medical image segmentation method based on the improved artificial bee colony algorithm [J] . LF Li, MR Qi Matrix Science Pharma . 2019,第1期

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3. MEDICAL IMAGE SEGMENTATION METHOD BASED ON IMPROVED ARTIFICIAL BEE COLONY ALGORITHM [J] . Li L. F., Qi M. R. Basic & clinical pharmacology & toxicology. . 2018,第Suppla2期

机译：基于改进人工蜂菌落算法的医学图像分割方法
4. Noisy Image Segmentation based on Artificial Bee Colony Algorithm [C] . XIAO Yonghao, HE Zhuobin, HU Yao, International Conference on Manufacturing Technology and Electronics Applications . 2014

机译：基于人工蜂菌落算法的嘈杂的图像分割
5. Digital Filter Design Using Improved Artificial Bee Colony Algorithms [D] . Raju, Rija . 2019

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7. Segmentation of SAR images using improved artificial bee colony algorithm and neutrosophic set [O] . Kazim Hanbay, M. Fatih Talu 2014

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Noisy Image Segmentation based on Artificial Bee Colony Algorithm

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