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Vol. 159, Issue 11, November 2013, pp. 39-45




Level Set Based Shape Model for Automatic Linear Feature Extraction from Satellite Imagery
1, 2 Yi Liu, 1, 2 Fansi Kong, 1, 2 Fei Yan

1 College of Surveying and Geo-Informatics, Tongji University B703 Tumu Building, 1239 Siping Road, Shanghai, P. R. China, 200092

2 Spatial Information Science and Sustainable Development Applications Center, Tongji University, Shanghai, P. R. China, 200092

1 E-mail: cnliuyi@qq.com


Received: 1 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: Although image linear feature is important in many applications, it is difficult to extract precisely, because back ground is complex and feature is not always significant. In this paper, we propose a level set based automatic linear feature extraction method using prior shapes. We introduce a variable shape model which together with the level set function for segmentation and extract linear feature dynamically indicates the region with which the prior shape should be compared. Our model is capable of extract linear objects from an image based on the image intensity as well as the prior shape. In addition, the proposed model permits translation, scaling and rotation of the prior shape. Moreover, a fast way is also established for the minimization of our functional. At last, the experiments validate our model, and a comparison with canny detector showed the advantage.


Keywords: Level set, Shape model, Linear feature.


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