GrabCut algorithm for dental X‐ray images based on full threshold segmentation-Reference-Cited by-同舟云学术

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GrabCut algorithm for dental X‐ray images based on full threshold segmentation

Published:2018-10-11 Issue:12 Volume:12 Page:2330-2335
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Mao Jiafa¹,Wang Kaihui¹,Hu Yahong¹,Sheng Weiguo²,Feng Qixin³⁴

Affiliation:

1. College of Computer Science and Technology, Zhejiang University of TechnologyHangzhouZhejiang310023People's Republic of China

2. Department. of Computer ScienceHangzhou Normal UniversityHangzhou311121People's Republic of China

3. Xinjiang Institute of Ecology and Geography, Chinese Academy of SciencesUrumqi830011XinjiangPeople's Republic of China

4. University of Chinese Academy of SciencesBeijing100049People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5730

Reference22 articles.

1. Teeth as a source of DNA for forensic identification of human remains: A Review

2. Disaster Victim Identification using Orthopedic Implants in the 2011 East-Japan Earthquake and Tsunami

3. Current genetic methodologies in the identification of disaster victims and in forensic analysis

4. Application of dental morphological images in major catastrophic cases;Qun H.;Imaging Mater.,2003

5. Dental radiographs and photographs in human forensic identification

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1. Design of a novel panoptic segmentation using multi-scale pooling model for tooth segmentation;Soft Computing;2024-02-01

2. Dental panoramic X-ray image segmentation for multi-feature coordinate position learning;DIGITAL HEALTH;2024-01

3. Review of GrabCut in Image Processing;Mathematics;2023-04-21

4. Automatic Measurement of Scoliosis Based on an Improved Segmentation Model;IEEE Access;2023

5. Clinical tooth segmentation based on local enhancement;Frontiers in Molecular Biosciences;2022-10-11

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