DocumentCode
1156120
Title
Binary Morphology With Spatially Variant Structuring Elements: Algorithm and Architecture
Author
Hedberg, Hugo ; Dokladal, Petr ; Öwall, Viktor
Author_Institution
Dept. of Electr. & Inf. Technol., Lund Univ., Lund
Volume
18
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
562
Lastpage
572
Abstract
Mathematical morphology with spatially variant structuring elements outperforms translation-invariant structuring elements in various applications and has been studied in the literature over the years. However, supporting a variable structuring element shape imposes an overwhelming computational complexity, dramatically increasing with the size of the structuring element. Limiting the supported class of structuring elements to rectangles has allowed for a fast algorithm to be developed, which is efficient in terms of number of operations per pixel, has a low memory requirement, and a low latency. These properties make this algorithm useful in both software and hardware implementations, not only for spatially variant, but also translation-invariant morphology. This paper also presents a dedicated hardware architecture intended to be used as an accelerator in embedded system applications, with corresponding implementation results when targeted for both field programmable gate arrays and application specific integrated circuits.
Keywords
field programmable gate arrays; image processing; mathematical morphology; shape recognition; binary morphology; computational complexity; field programmable gate arrays; mathematical morphology; spatially variant structuring elements; translation-invariant morphology; Application software; Computational complexity; Computer architecture; Delay; Embedded system; Field programmable gate arrays; Hardware; Morphology; Shape; Software algorithms; Hardware implementation; mathematical morphology; spatially variant structuring elements; Algorithms; Artificial Intelligence; Equipment Design; Equipment Failure Analysis; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2008.2010108
Filename
4782065
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