A Shape Recognition Scheme Based on Real-Valued Boundary Points

D.J. Buehrer; C.S. Lu; C.C. Chang

doi:10.6180/jase.2000.3.1.06

A Shape Recognition Scheme Based on Real-Valued Boundary Points

Computer Science and Information Engineering

D. J. Buehrer¹, C. S. Lu¹ and C. C. Chang This email address is being protected from spambots. You need JavaScript enabled to view it.¹

¹Department of Computer Science and Information Engineering, National Chung Cheng University, Chaiyi, Taiwan 621, R. O. C.

Received: May 26, 2000
Accepted: June 19, 2000
Publication Date: June 19, 2000

Download Citation: ||https://doi.org/10.6180/jase.2000.3.1.06

ABSTRACT

An efficient shape recognition scheme based on three new ideas is presented. First, a new method is presented for estimating real-valued boundary points from the integer-valued coordinates and the grey-level values of binary images. Secondly, we can quickly determine all of the feature points with this representation by using an angle calculation formula and the separating technique which are also proposed in this paper. Then, each shape is represented by an array of pairs, where each pair contains the coordinate of a feature point and its distance from the centroid. Thirdly, in the matching process, we also propose a new split-merge technique to assist in the shape matching. The effectiveness of the shape recognition scheme is clearly proven by the good recognition rates of our experiments.

Keywords: Subpixel accuracy, real-valued coordinate representation of boundaries, feature point, shape representation, shape matching, split-merge, scaling factor, skewing

REFERENCES

[1] Alejandro Blumenkrans, Two-Dimensional Object Recognition Using a Two-Dimensional Polar Transform, Pattern Recognition 24,879-890 (1991).
[2] Ali J. Tabatabai and 0. Robert Mitchell, Edge Location to Subpixel Values in Digital Imagery, IEEE Tranc. pattern Anal. Machine Intell. 6, 188-201 (1984)
[3] Ander Huertas and Gerard Medioni, Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Guassian Masks, IEEE Trans. Pattern Anal. Machine Intell. 8,651-664 (1986).
[4] Ann Bengtsson and Jan-OlofEklundh, Shape Representation by Multiscale Contour Approximation, IEEE Trans. Pattern Anal. Machine Intell. 13, 85-93 (1991).
[5] Beus H.L. and Tiu S. S. H., An improved algorithm based on chain-code plane curves. Pattern recognition 20,291-296 (1987).
[6] Buehrer D. J. and Lu C. S., A new corner detection method based on a real-valued coordinate representation of boundaries, submitted for publication.
[7] Carlos A. Berenstein, Laveen N. Kanal and David Lavine, A geometric Approach to Subpixel Registration Accuracy, Comput. Vision Graphics Image Processing. 40, 334-360 (1987).
[8] Chang C. C., Hwang S. M. and Buebrer D. J., A Shape Recognition Scheme Based on Reladve Distances of Feature Points from the Centroid, Pattern Recognition. 24, 1053-1063 (1991).
[9] Edward P. Lyvers, Owen Robert Mitchell, Mark L. Akey, and Anthony P. Reeves, Subpixel Measurements Using a Moment-Based Edge Operator, IEEE Trans. Pattern Anal. Machine Intell. II, 1293-1309 (1989).
[10] Freeman H. and Davis L. S., An corner finding algorithm based on chain-code plane curves, IEEE Trans. Comput. C-26, 297-303 (1977).
[11] Han Min-Hong, Jang D. and Foster J., Identification of cornerpoints of two-dimensional images using a line search method. Pattern recognition 22, 13-20 (1989).
[12] Ingemar J. Cox, Joseph B. Kruskal and Deborah A. Wallach, Predicating and Estimating the Accuracy of a Subpixel Registration Algorithm, IEEE Trans. Pattern Anal. Machine Intell. 12,721-734(1990).
[13] Liu H. C. and Srinath M. D., Corner detection from chain-code, Pattern recognition 23,51-68 (1990).
[14] Liu S.T. and Tsai W. H., Moment preserving corner detection. Pattern recognition 23,441-460 (1990).
[15] Medioni G. and Yasumoto Y., Corner detection and curve representation using cubic B-Spline, Computer Vision, Graphics, and Image Processing 39,267-278 (1987).
[16] Peter D. Hyde and Lairy S. Davis, Subpixel Edge Detection, Pattern Recognition. 16,413-420 (1983).
[17] Qi Tian and Michael N. Huhns, Algorithms for Subpixel Registration, Comput. Vision Graphics Image Processing. 35, 220-233 (1986).
[18] Rosenfeld A. and Johnston E., Angle detection on digital curves, IEEE Trans. Comput. C-22,875-878 (1973).
[19] Rosenfeld A. and Weszka J. S., An improved method of angle detection on digital curves, IEEE Trans. Comput. C-24, 940-941 (1975).
[20] Tsay Y. T. and Tsai W. H., Model-Guided Attributed String Matching by Split-and-Merge for Shape Recognition, International Journal of Pattern Recognition and Artificial Intelligence. 159-179 (1988).
[21] Yoshiaki Shirai, Three-Dimensional Computer Vision, Springer-Verlag, Berlin Heidelberg, (1987).