Orientation selective operators for ridge, valley, edge, and line detection in imagery

Author

Hou, Jianzin ; Bamberger, Roberto H.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA

Volume

v

fYear

1994

fDate

19-22 Apr 1994

Abstract

We investigate the use of two orientation analysis techniques, the rotating kernel min-max transform (RKMT) proposed by Lee and Rhodes (1990) and steerable filters proposed by Freeman and Adelson (1990, 1992) for the detection and enhancement of oriented structures such as lines, edges, ridges, and valleys in imagery. The paper introduces a new data-adaptive morphological operator for linear feature enhancement which is based on a preprocessing orientation analysis stage. It also proposes a new interpretation of quadrature pairs of the steerable filters allowing for high resolution detection of lines and edges that also allows the user to distinguish between lines, right rising edges, and left rising edges

Keywords

adaptive signal processing; edge detection; image enhancement; image resolution; mathematical morphology; minimax techniques; transforms; data-adaptive morphological operator; edge detection; high resolution detection; image enhancement; imagery; left rising edges; line detection; linear feature enhancement; orientation analysis; orientation selective operators; quadrature pairs; ridge detection; right rising edges; rotating kernel min-max transform; steerable filters; valley detection; Computer science; Computer vision; Feature extraction; Filters; Image analysis; Image edge detection; Information analysis; Kernel; Machine vision; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389520

Filename

389520