5 March 2008 Biologically motivated operator and its application to detecting intensity spots
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Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230K (2008) https://doi.org/10.1117/12.791405
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
Abstract
We present a new operator, named the normalized negative Laplacian of Gaussian (NNLoG) operator to model the centre-surround mechanism of biological vision. We proved in mathematically that the NNLoG is invariant to scale. A computational scheme for selective detection of intensity spots is proposed. To detect intensity spots of specific size, the algorithm uses only one NNLoG of appropriate size. To detect intensity spots of unspecific size, the algorithm uses a set of NNLoG with equidistance sizes; the location and size of intensity spots can be determined simultaneously. This paper also investigated how to track target as a single spot, and to track rigid-body object with many spots on it. In the tracking, Kalman filter and particle filter are used as the probabilistic frameworks respectively. The robustness and effectiveness of the proposed method is demonstrated on both synthetic images and real sequences.
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You Li, You Li, Zhihui Lei, Zhihui Lei, } "Biologically motivated operator and its application to detecting intensity spots", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230K (5 March 2008); doi: 10.1117/12.791405; https://doi.org/10.1117/12.791405
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