Fundamentals of digital image processing
Fundamentals of digital image processing
A robust Hough transform technique for complete line segment description
Real-Time Imaging
High-speed tomographic reconstruction employing Fourier methods
Real-Time Imaging
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Digital Signal Processing (4th Edition)
Digital Signal Processing (4th Edition)
Using the generalized Radon transform for detection of curves in noisy images
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
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We present a fast algorithm for slope detection on gray scale images, based on 2D Fourier transform and standard filters; this may be used for line or edge detection. Our approach is based on the calculation of ''energy'' per direction of the image, thus obtaining the ''energy spectrum on slope''(@q). This exhibits local maxima at the points where @q equals the slopes of linear or quasi-linear segments within the image, yet it is not affected by their position within it. The process thus outlined has certain advantages as regards its efficiency of linear structure detection, compared to the Radon and Hough transforms. It was motivated by the study of astrophysical images (solar dynamic radio spectra) which necessitated the introduction of a method for fast extraction of ''drifting structures'', since they appear as linear or quasi-linear segments on these spectra.