1996
DOI: 10.1117/12.241165
|View full text |Cite
|
Sign up to set email alerts
|

<title>Detection of moving pixel-sized target based on quasi-continuity-filter</title>

Abstract: A method based on quasi-continuity-filter for the detection of moving pixel-sized target under low SNR is presented in this paper. First each frame of the input sequence is binarized based on Maximum Error Probability(MEP) rule. And then the quasi-continuity-filter is designed to use the continuity property of the target pixels in the adjacent frames and randomness ofnoise pixels to filter out the noise.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

1997
1997
1998
1998

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 5 publications
(2 reference statements)
0
1
0
Order By: Relevance
“…In order to understand the property ofA(i, j, c ) and modify it, we discuss it as follows. Ifthere is an ideal homogeneous image where pixel values are all the same, then we can see that surface area of each pixel is also the same at scale e ,that is A(i,j,e) = (2e+1)(2e+1)2e (2e+ 1)2 (7) Similarly,…”
Section: Definition Of Multiscale Fractal Parametersmentioning
confidence: 95%
“…In order to understand the property ofA(i, j, c ) and modify it, we discuss it as follows. Ifthere is an ideal homogeneous image where pixel values are all the same, then we can see that surface area of each pixel is also the same at scale e ,that is A(i,j,e) = (2e+1)(2e+1)2e (2e+ 1)2 (7) Similarly,…”
Section: Definition Of Multiscale Fractal Parametersmentioning
confidence: 95%