A texture fused superpixel algorithm for coal mine waste rock image segmentation-Reference-Cited by-同舟云学术

A texture fused superpixel algorithm for coal mine waste rock image segmentation

Published:2019-12-04 Issue: Volume: Page:1-12
ISSN:1939-2699
Container-title:International Journal of Coal Preparation and Utilization
language:en
Short-container-title:International Journal of Coal Preparation and Utilization

Author:

Sun Zhiyuan¹,Xuan Pengcheng¹,Song Zhiqiang¹,Li Hao²,Jia Ruiqing¹³

Affiliation:

1. School of Mechanical Electrical & Information Engineering, China University of Mining and Technology, Beijing, China

2. The Internet of Things Technology Application Institute, China Aerospace Science and Technology Corporation, Beijing, China

3. Department of Science and technology innovation center, China Coal Technology & Engineering Group Shanghai Research Institute, Shanghai, China

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19392699.2019.1699546

Reference26 articles.

1. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

2. Graph Cuts and Efficient N-D Image Segmentation

3. Mean shift: a robust approach toward feature space analysis

4. Reduction and utilization of coal mine waste rock in China: A case study in Tiefa coalfield

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