An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images-Reference-Cited by-同舟云学术

An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images

Published:2023 Issue: Volume:4 Page:1-12
ISSN:2644-1268
Container-title:IEEE Open Journal of the Computer Society
language:
Short-container-title:IEEE Open J. Comput. Soc.

Author:

Zhao Xiao¹^ORCID,Chao Yuyan²,Zhang Hui¹,Yao Bin¹,He Lifeng¹^ORCID

Affiliation:

1. Artificial Intelligence Institute, School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an, China

2. Graduate School of Environment Management, Nagoya Sangyo University, Owariasa-shi, Japan

Funder

National Natural Science Foundation of China

Doctoral Scientific Research Foundation of Shaanxi University of Science and Technology

Nitto Foundation, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Strategy and Management,Mechanical Engineering

Link

http://xplorestaging.ieee.org/ielx7/8782664/10016900/10004510.pdf?arnumber=10004510

Reference28 articles.

1. 3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure

2. Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis

3. Three-dimensional database of subcortical electrophysiology for image-guided stereotactic functional neurosurgery

4. Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking

5. Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography

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