Global systolic array for fast computation of 3D moment invariants

J. G. Liu; Shaobo Chen; Hai Wang

doi:10.1117/12.833710

30 October 2009 Global systolic array for fast computation of 3D moment invariants

J. G. Liu, Shaobo Chen, Hai Wang

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 749703 (2009) https://doi.org/10.1117/12.833710
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The 3-D moment invariants are introduced to solve the problem of recognition of 3-D objects independent of size, position, and orientation. In this paper, based on our previous systolic array for fast computation of 3-D moment, we propose a new global systolic array for fast computation of 3-D moment invariants. The systolic sarray mostly consists of adders with area complexity O(n) and are highly regular and structurally very simple, resulting in simple hardware implementation. The method is suitable for both binary images and gray level images and is also suitable for image sequence moments.

Citation Download Citation

J. G. Liu, Shaobo Chen, and Hai Wang "Global systolic array for fast computation of 3D moment invariants", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749703 (30 October 2009); https://doi.org/10.1117/12.833710

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