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Small Target Detection Based on Second Order Directional Derivative Scale-space |
Lin Jian-lin① Ping Xi-jian① Ma De-bao② |
①(Institute of Information System Engineering, Information Engineering University, Zhengzhou 450002, China)
②(Huaxia College, Wuhan University of Technology, Wuhan 430223, China) |
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Abstract The information of target’s scale is an important factor for small target detection in two-dimensional image. This paper presents a small target detection method based on second order directional derivative scale-space, chooses directly the interest target with the information of target’s scale. On the basis of Lindeberg’s scale-space theory, the maximum and minimum second order directional derivative scale-spaces are derived, with the method of partial differential equations, and the characteristics of target’s scale in the scale-spaces are analyzed. Meantime, the selection of parameters for constructing scale-spaces is given. On the analysis of the response of different targets in the scale-spaces, the implement algorithm using the second order directional derivative scale-space to detect small target is proposed. Experiments on the actual image show that the proposed method has a more robust detection performance than the compared one, and the detection capability of Laplace scale-space for non-circular structure target is improved.
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Received: 13 June 2012
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Corresponding Authors:
Lin Jian-lin
E-mail: ljl20070819@163.com
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