Target recognition using cepstrum and inverse filtering

Sharon X. Wang; Carl D. Crane; Murali Rao; Dan Ekdahl; James S. Tulenko

doi:10.1117/12.213020

5 July 1995 Target recognition using cepstrum and inverse filtering

Sharon X. Wang, Carl D. Crane, Murali Rao, Dan Ekdahl, James S. Tulenko

Proceedings Volume 2484, Signal Processing, Sensor Fusion, and Target Recognition IV; (1995) https://doi.org/10.1117/12.213020
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This research proposes an algorithm to recognize a target that may differ from a reference template in position, scale, and in-plane rotation. The proposed algorithm accomplishes the recognition in two steps: rotation and scale detection followed by translation detection. In the first step, the Fourier transformation of the cepstrum is used to achieve the translation invariance, and a polar-logarithmic coordinate system is employed to convert the scale and rotation changes into linear shifts. In the second step, the template is regenerated to the correct size and orientation using rotation and scale parameters obtained from step one. In both steps matching is accomplished using template inverse filtering, which generates a Dirac delta function that appears as a sharp peak. The distinguishing features of this system are three-fold. First, while detecting the existence of the target, it provides the translation, scale, and rotation parameters, which are often needed in many applications. Secondly, it employs the template inverse filters to increase the auto-correlation peaks and suppress the cross-correlation coefficients and noise. Thirdly, it utilizes the cepstrum instead of the spectrum to enhance the high frequency components, and therefore improves the recognition significantly for scale and rotation detection. Experimental examples demonstrate recognition results.

Citation Download Citation

Sharon X. Wang, Carl D. Crane, Murali Rao, Dan Ekdahl, and James S. Tulenko "Target recognition using cepstrum and inverse filtering", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); https://doi.org/10.1117/12.213020

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