Geological Segmentation on UAV Aerial Image Using Shape-Based LSM with Dominant Color
Autor: | Chieh-Ling Huang, Yung-Gi Wu, Ching-Ju Chen, Jwu-Jenq Chen |
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Rok vydání: | 2016 |
Předmět: |
Level set method
010504 meteorology & atmospheric sciences business.industry Computer science 0206 medical engineering 02 engineering and technology Image segmentation 020601 biomedical engineering 01 natural sciences Level set Aerial photography Feature (computer vision) Computer vision Segmentation Artificial intelligence business Aerial image 0105 earth and related environmental sciences |
Zdroj: | AINA Workshops |
DOI: | 10.1109/waina.2016.82 |
Popis: | This paper proposed a geological segmentation algorithm to segment different geology, such as rivers, woodlands, and soil, etc. according on differences image feature of geology for aerial photography. In this paper, aerial image capture from low-flying quadcopter unmanned aircraft vehicle (UAV). Using Fuzzy-C-Mean method for aerial image color classification, and estimate some dominant colors of aerial image. And then estimates each dominant color similar distribution map. Finally, shape-based level set method (LSM) is employed to segment the distribution of geological that the dominant color represents. The experimental results show that the proposed algorithm is efficacious and reliable in geological segmentation. |
Databáze: | OpenAIRE |
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