Chromosome Image Segmentation Based on OTSU and Region Growing Algorithm-Reference-Cited by-同舟云学术

Chromosome Image Segmentation Based on OTSU and Region Growing Algorithm

Published:2022-08-19 Issue: Volume: Page:
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Container-title:2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
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Author:

Liu Ganghao¹,Zhang Zhifeng¹,Cui Xiao¹,Kuang Jinhui¹,Cai Jinghan¹,Ji Xiaohui¹

Affiliation:

1. Zhengzhou University of Light Industry,College of Software Engineering,Zhengzhou,China

Funder

National Natural Science Foundation of China

Zhengzhou University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9904023/9904007/09904165.pdf?arnumber=9904165

Reference20 articles.

1. Automated digital mammogram segmentation using Dispersed Region Growing and Sliding Window Algorithm

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3. Evolutionary Region Growing Segmentation Algorithm Based on Maximum Entropy;guangxing;Journal of Jiangsu University (Natural Science Edition),2020

4. An improved Otsu threshold segmentation algorithm[J];zhou;J China University of Metrology,2016

5. Identification and Segmentation Algorithm of Small Cracks on Dam Surface Based on Local OTSU Threshold and Regional Growth;xiaowei;Hydropower Energy Science,2022

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