Moon image segmentation with a new mixture histogram model-Reference-Cited by-同舟云学术

Moon image segmentation with a new mixture histogram model

Published:2019-07-18 Issue:8 Volume:15 Page:1046-1069
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Hsu Chih-Yu¹,Shao Lu-Jiao²,Tseng Kuo-Kun²,Huang Wan-Ting³

Affiliation:

1. School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

2. The Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

3. Applied Mathematics, National Chung Hsing University, Taichung, China

Funder

Shenzhen Development and Reform Commission through Shenzhen Development and Reform

Shenzhen Government Grant

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2019.1641627

Reference15 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. Chen, L. C., G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. 2015. “Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs”. 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7–9, 2015.

3. Kiado, A. 1973. “Information Theory and an Extension of the Maximum Likelihood Principle”. (1Spacecraft Informatics): 267–281.

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