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| ManMade Objects Detection from Aerial Images Based on Level Set Method |
| CAO Guo, YANG Xin |
| Institute of Pattern Recognition and Image Processing, Shanghai Jiaotong University, Shanghai 200030 |
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Abstract A novel method for detecting manmade objects in aerial images is described. The method is based on a simplified MumfordShah model. It applies fractal error metric and additional constrainttexture edge descriptor on the image to get a preferable segmentation. Manmade objects and natural areas are optimally differentiated by evolving the partial differential equation for MumfordShah model. The method avoids selecting a threshold, which, if improperly selected, often results in great segmentation errors to separate the fractal error image. Experiments of the segmentation show that the proposed method is efficient.
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Received: 14 October 2004
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2006, Vol. 19 
