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)
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.
林建粦, 平西建, 马德宝. 基于二阶方向导数尺度空间的小目标检测[J]. 电子与信息学报, 2012, 34(12): 2992-2998.
Lin Jian-Lin, Ping Xi-Jian, Ma De-Bao. Small Target Detection Based on Second Order Directional Derivative Scale-space. , 2012, 34(12): 2992-2998.