Automatic extraction of foreground objects from Mars images

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. I...

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Bibliographic Details
Published inGeo-spatial information science Vol. 15; no. 1; pp. 17 - 25
Main Authors WANG, Shuliang, LIU, Chang, WU, Shangru, NIE, Qianqian, WANG, Yongtao, ZENG, Shi, ZHU, Haifeng
Format Journal Article
LanguageEnglish
Published Routledge 01.03.2012
Subjects
active contour
automatic object extraction
edge detection
homomorphic filtering
Mars images
wavelet transformation
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Summary: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.
ISSN:1009-5020
1993-5153
DOI:10.1080/10095020.2012.708147