A study of convex/concave edges and edge-enhancing operators based on the Laplacian

Author

Lee, Yong Hoon ; Park, Soon Young

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

37

Issue

7

fYear

1990

fDate

7/1/1990 12:00:00 AM

Firstpage

940

Lastpage

946

Abstract

Edge-enhancing operators using a modification of the Laplacian called the order statistic (OS) Laplacian are considered. The edge-enhancing operators are evaluated for their performance on the convex/concave (C/C) edge, which is useful blurred edge model, and on white Gaussian noise input signals. It is shown that the operators that use the OS Laplacian are much less sensitive to noise than the edge-enhancing operator that uses the Laplacian, while the edge-enhancing characteristics of the former are comparable to those of the latter. One set of images processed by these operators is presented to illustrate the performance characteristics of these operators

Keywords

Laplace transforms; picture processing; white noise; Laplacian; blurred edge model; convex/concave edges; edge-enhancing operators; images; order statistic; performance characteristics; white Gaussian noise input signals; Adaptive filters; Adaptive signal processing; Chirp; Circuit noise; Laplace equations; Least squares approximation; Line enhancers; Performance analysis; Signal processing algorithms; Speech processing;

fLanguage

English

Journal_Title

Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

0098-4094

Type

jour

DOI

10.1109/31.55069

Filename

55069