FEATURE DETECTION USING BASIS FUNCTIONS

被引：40

作者：

HUMMEL, RA

机构：

[1] Department of Mathematics, University of Minnesota, Minneapolis

来源：

COMPUTER GRAPHICS AND IMAGE PROCESSING | 1979年 / 9卷 / 01期

关键词：

D O I：

10.1016/0146-664X(79)90081-9

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A class of feature-detection operations using orthonormal basis functions is introduced. The basis functions are derived from the Karhunen-Loe`ve expansion of the local image data. This theory is applied to define a new edge detector which can be adjusted to have increased sensitivity in any desired orientation. © 1979 Academic Press, Inc.

引用

页码：40 / 55

页数：16

共 11 条

[1] Hueckel, An operator which locates edges in digitized pictures, Journal of the ACM, 18, pp. 113-125, (1971)
[2] Hueckel, A local operator which recognized edges and lines, Journal of the ACM, 20, pp. 634-647, (1973)
[3] Rosenfeld, Hummel, Zucker, Scene labeling by relaxation operations, IEEE Trans. Systems, Man, and Cybernetics, 6 SMC, pp. 420-433, (1976)
[4] Rosenfeld, Kak, Digital Picture Processing, (1976)
[5] Brown, Mean square error in series expansion of random functions, SIAM Journal, 8, pp. 28-32, (1960)
[6] Davis, A survey of edge detection techniques, Computer Graphics and Image Processing, 4, pp. 248-270, (1975)
[7] Griffith, Mathematical models for automatic line detection, Journal of the ACM, 20, pp. 62-80, (1973)
[8] Chow, Kaneko, Automatic boundary detection of the left ventricle from cineangiograms, Comput. Biomed. Res., 5, pp. 388-410, (1972)
[9] Mero, Vassy, A simplified and fast version of the Hueckel operator for finding optimal edges in pictures, Proceedings, 4th International Conference on Artificial Intelligence, pp. 650-655, (1975)
[10] Tou, Gonzalez, Pattern Recognition Principles, (1974)

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