Invariant hough transform with matching technique for the recognition of non-analytic objects

Authors:
Pui-Kin Ser;Wan-Chi Siu
Affiliations:
Department of Electronic Engineering, Hong Kong Polytechnic, Hong Kong;Department of Electronic Engineering, Hong Kong Polytechnic, Hong Kong
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Year:
1993

Citing 3
Cited 0

Contour sequence moments for the classification of closed planar shapes

Pattern Recognition
Scale- and orientation-invariant generalized Hough transform—a new approach

Pattern Recognition
Compressing the parameter space of the generalised Hough transform

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

By making use of the Hough and the contour sequence matching technique, we suggest a new approach to solve the problem of large memory requirement of the Hough space. For the conventional Hough algorithm, it is necessary to take a four-dimensional space for the recognition of an irregular pattern, while in our proposed algorithm, we replace the Hough space with a two-dimensional domain. The orientation of a possible object is determined by comparing the contour sequence of the object and that of the prototype. The reduction of the scaling and orientation parameters in the new Hough space is also able to simplify the peak searching process to verify the results. In order to enhance the accuracy of recognition rate, we also suggest a new peak searching technique to eliminate false peaks in the Hough space.