An efficient algorithm for computation of shape moments from run-length codes or chain codes

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摘要

Moments are very useful for shape analysis. Zero- to third-order moments have been used for computer vision applications such as shape recognition and orientation. They can serve for composition of the well-known moment invariants used as desirable features as well as for the detection of the location and the principal axis direction of a shape. The shape is often represented by a binary image and its moments can be obtained by use of fast algorithms considering the shape as a discrete point array. In this paper a new algorithm based on the double-integral formulation is presented. The shape is considered as a continuous region and the contribution of boundary points is used for fast computation of shape moments. This method can be used to calculate moments from either the run-length codes or the chain codes of shape.

论文关键词:Pattern recognition,Object orientation,Shape analysis,Moments,Central moments,Moment invariants,Fast algorithms

论文评审过程:Received 17 September 1991, Accepted 14 February 1992, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(92)90015-B