V. Topkar et al., PERFORMANCE ANALYSIS OF 1-D SCALE-SPACE ALGORITHMS FOR PULSE DETECTION IN NOISY IMAGE SCANS, CVGIP. Image understanding, 60(2), 1994, pp. 191-209
Citations number
17
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Software Graphycs Programming
Scale-space representation is a topic of active research in computer v
ision. The focus of the research so far has been on coarse-to-fine foc
using methods, image reconstruction, and computational aspects. Howeve
r, not much work has been done on the signal detection problem, i.e.,
detecting the presence or absence of signal models from noisy image sc
ans using the scale-space. In this paper we propose four 1-D signal de
tection algorithms for separating pulse signals in an image scan from
the background in the scale-space domain. These algorithms do not need
any thresholding to detect the zero-crossings (zc's) at any of the sc
ales. The different algorithms are applicable to image scans with diff
erent noise and clutter characteristics. A simple algorithm works best
for scans having low noise and clutter. When noise and clutter increa
se sufficiently, a more sophisticated algorithm must be used. The 1-D
algorithms for pulse and edge detection can be used to detect 2-D clos
ed objects in cluttered and noisy backgrounds. This is done by scannin
g the image row-wise (and column-wise) and working on the individual s
cans. Using this method, the algorithms are demonstrated on several re
al life images. Another objective of this paper is to conduct comparat
ive analysis of (i) a single-scale system vs a multiscale system and (
ii) white noise vs clutter. This is done by conducting an experimental
statistical analysis on single-scale and multiscale systems corrupted
by white noise or clutter. Performance indices such as probability of
detection, probability of false alarms, and delocalization errors are
computed. The results indicate that (i) the multiscale approach is be
tter than the single-scale approach and (ii) the degradation in perfor
mance is greater with clutter than with white noise. (C) 1994 Academic
Press, Inc.