Automatic extraction of foreground objects from Mars images
| Autor: | Yongtao Wang, Shuliang Wang, Shi Zeng, Chang Liu, Haifeng Zhu, Qianqian Nie, Shangru Wu |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Active contour model
Background subtraction business.industry Computer science Geography Planning and Development Context (language use) Astrophysics::Cosmology and Extragalactic Astrophysics Mars Exploration Program Edge detection Homomorphic filtering Wavelet Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence Noise (video) Computers in Earth Sciences business Astrophysics::Galaxy Astrophysics |
| Zdroj: | Geo-spatial Information Science. 15:17-25 |
| ISSN: | 1993-5153 1009-5020 |
| DOI: | 10.1080/10095020.2012.708147 |
| Popis: | A novel method is proposed to automatically extract foreground objects from Martian surface images. The characteristics of Mars images are distinct, e.g. uneven illumination, low contrast between foreground and background, much noise in the background, and foreground objects with irregular shapes. In the context of these characteristics, an image is divided into foreground objects and background information. Homomorphism filtering is first applied to rectify brightness. Then, wavelet transformation enhances contrast and denoises the image. Third, edge detection and active contour are combined to extract contours regardless of the shape of the image. Experimental results show that the method can extract foreground objects from Mars images automatically and accurately, and has many potential applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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