Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389520
