Title :
The distinctiveness of a curve in a parameterized neighborhood: extraction and applications
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ. of Technol.
Abstract :
A new feature of curves pertaining to the acceptance/rejection decision in curve detection is proposed. The feature measures a curve´s distinctiveness in its neighborhood, which is modeled by a one-parameter family of curves. A computational framework based on the Hough transform for extracting the distinctiveness feature is elaborated and examples of feature extractors for the circle and the ellipse are given. It is shown that the proposed feature can be extracted efficiently and is effective in separating signals from false positives. Experimental results with circle and ellipse testing that strongly support the efficiency and effectiveness claims are obtained. The results further demonstrate that the proposed feature exhibits good noise resiliency
Keywords :
Hough transforms; feature extraction; Hough transform; acceptance decision; circle testing; curve detection; curve distinctiveness; distinctiveness feature extraction; ellipse testing; one-parameter curve family; parameterized neighborhood; rejection decision; Application software; Computer Society; Feature extraction; Object recognition; Pattern analysis; Pixel; Shape; Signal processing; Solid modeling; Testing; Feature representation; Hough transform; feature evaluation and selection; feature extraction; geometric models; object recognition.; pattern analysis; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.174
