Feature detection from local energy
Pattern Recognition Letters
On the classification of image features
Pattern Recognition Letters
Optimum polygonal approximation of digitized curves
Pattern Recognition Letters
Effective classification of planar shapes based on curve segment properties
Pattern Recognition Letters
Techniques for Assessing Polygonal Approximations of Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Dominant point detection: A new proposal
Image and Vision Computing
Corner detection and curve segmentation by multiresolution chain-code linking
Pattern Recognition
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This paper proposes a new method for simplifying a 2d shape boundary based on its phase congruence and the optimisation of a function criterion. The phase congruence is a dimensionless feature that stands out boundary salient structures over different scales allowing a hierarchical fast optimisation process over the detected structures. The proposed method has been compared with other two well-known methods using an objective measure of the quality of the generated approximation. The experimental results have shown that the the proposed method is superior in performance to those reviewed in our study.