Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947206 | Neurocomputing | 2017 | 14 Pages |
Abstract
In this paper a novel and generalized circularity measure is proposed based on 3D polar-radius-moment invariant. We proved theoretically and verify experimentally that the proposed measure is invariant to scaling and rotation. Moreover, the proposed measure can be adapted to a fixed range for a suitable value of p according to degree of accuracy and is generalized to satisfy different requirements in actual application. The experimental results show that the proposed measure can accord with human visual perception and consistently performs best in terms of retrieval efficiency in test datasets than other compared methods.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ziping Ma, Jinlin Ma, Bin Xiao, Ke Lu,