A comparison of inter-frame feature measures for robust object classification in sector scan sonar image sequences

1999 ◽  
Vol 24 (4) ◽  
pp. 458-469 ◽  
Author(s):  
I. Tena Ruiz ◽  
D.M. Lane ◽  
M.J. Chantler
Keyword(s):  
Object Classification ◽  
Image Sequences ◽  
Sonar Image ◽  
Inter Frame

A MODIFIED WIENER FILTER FOR MULTI-FRAME RESTORATION OF BLURRED AND NOISY IMAGES

2005 ◽  
Vol 02 (02) ◽  
pp. 123-135 ◽  
Author(s):  
S. E. EL-KHAMY ◽  
E. M. SAAD ◽  
M. M. HADHOUD ◽  
M. I. DESSOUKY ◽  
A. M. ABBAS ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Wiener Filter ◽  
Temporal Correlation ◽  
Image Sequences ◽  
Step Method ◽  
Motion Vectors ◽  
Restoration Technique ◽  
Restoration Algorithm ◽  
Digital Restoration ◽  
Inter Frame

This paper proposes the use of a modified Wiener digital restoration technique for multi-frame image sequences that are degraded by both blur and noise. The proposed multi-channel Wiener restoration filter accounts for both intra-frame (spatial) and inter-frame (temporal) correlation. A modified cross-correlation formula between consecutive frames, which directly utilizes the motion vectors in the calculation of correlation among frames is derived and implemented in a multi-frame Wiener filter. Our modification estimates the motion vectors (horizontal and vertical) between consecutive frames using the three-step method, and then uses the estimated motion vectors to modify the cross-correlation terms in the formula for restoration. The performed simulations verified that the multi-frame restoration algorithm, that uses the motion information among different frames in restoration, gives improved results than both of the single frame independent restoration and the multi-channel restoration without considering the motion vectors.

Detection and tracking of returns in sector-scan sonar image sequences

1996 ◽  
Vol 143 (3) ◽  
pp. 157 ◽  
Author(s):  
M.J. Chantler ◽  
D.M. Lane ◽  
D. Dai ◽  
N. Williams
Keyword(s):  
Image Sequences ◽  
Sonar Image ◽  
Detection And Tracking

Improvement of object classification in image sequences

1997 ◽  
Author(s):  
D. Ernst ◽  
H. Gross ◽  
D. Stricker ◽  
Ulrich Thoennessen
Keyword(s):  
Object Classification ◽  
Image Sequences
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