Detection of space image target based on improved fractal technique

Balin Tian; Jianping Yuan; Jing Tian; Huaqiang Liang

doi:10.1117/12.748899

15 November 2007 Detection of space image target based on improved fractal technique

Balin Tian, Jianping Yuan, Jing Tian, Huaqiang Liang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67861R (2007) https://doi.org/10.1117/12.748899
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In the space surveillance applications, recognition of image targets is very important, one of the most difficult problems in image processing is detecting objects in an image. Target detection is a key step for the applications of space image target recognition. An improved method presented in this paper is designed to detect man-made objects in digital images representing in natural environments. This method is based on Fractal theory. According to the fractal feature of man-made object in space, the object can be partitioned off background based on the difference of intrinsic fractal features between them, where the value of fractal dimension (FD) at the objects' edge is much larger than that in other area. The validity of the proposed method is examined by processing and analyzing images of space target at the end of the paper. In detection of targets for real images of Shenzhou-VI and launch vehicle ChangZheng(CZ), the algorithm has a successful outcome. It will provide great efficiency and speed in detection of space image target, which could be also used for further image feature extraction and image segmentation.

Citation Download Citation

Balin Tian, Jianping Yuan, Jing Tian, and Huaqiang Liang "Detection of space image target based on improved fractal technique", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861R (15 November 2007); https://doi.org/10.1117/12.748899

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