Automatic extraction of foreground objects from Mars images  

作　　者：WANG Shuliang LIU Chang WU Shangru NIE Qianqian WANG Yongtao ZENG Shi ZHU Haifeng 

机构地区：[1]International School of Software,Wuhan University,129 Luoyu Road,Wuhan 430079,China [2]Key Laboratory of Data Mining and Knowledge Engineering,Inner Mongolia Autonomous Region,Inner Mongolia University,Hohhot 010021,China [3]Department of Geography,East Michigan University,Ypsilanti,MI 48197,USA

出　　处：《Geo-Spatial Information Science》2012年第1期17-25,共9页地球空间信息科学学报（英文）

基　　金：Supported by the National 973 Program of China(No.2007CB310804);the National Natural Science Foundation of China(No.61173061).

摘　　要：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.

关 键 词：automatic object extraction Mars images homomorphic filtering wavelet transformation active contour edge detection 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]