DocumentCode :
82802
Title :
Parsimonious Path Openings and Closings
Author :
Morard, Vincent ; Dokladal, Petr ; Decenciere, E.
Author_Institution :
Centre for Math. Morphology, MINES Paris-Tech., Fontainebleau, France
Volume :
23
Issue :
4
fYear :
2014
fDate :
Apr-14
Firstpage :
1543
Lastpage :
1555
Abstract :
Path openings and closings are morphological tools used to preserve long, thin, and tortuous structures in gray level images. They explore all paths from a defined class, and filter them with a length criterion. However, most paths are redundant, making the process generally slow. Parsimonious path openings and closings are introduced in this paper to solve this problem. These operators only consider a subset of the paths considered by classical path openings, thus achieving a substantial speed-up, while obtaining similar results. In addition, a recently introduced 1D opening algorithm is applied along each selected path. Its complexity is linear with respect to the number of pixels, independent of the size of the opening. Furthermore, it is fast for any input data accuracy (integer or floating point) and works in stream. Parsimonious path openings are also extended to incomplete paths, i.e., paths containing gaps. Noise-corrupted paths can thus be processed with the same approach and complexity. These parsimonious operators achieve a several orders of magnitude speed-up. Examples are shown for incomplete path openings, where computing times are brought from minutes to tens of milliseconds, while obtaining similar results.
Keywords :
filtering theory; image processing; 1D opening algorithm; classical path openings; computing times; gray level images; incomplete path openings; incomplete paths; length criterion; long-structure preservation; magnitude speed-up; morphological tools; noise-corrupted paths; parsimonious operators; parsimonious path closings; parsimonious path openings; path filtering; substantial speed-up; thin-structure preservation; tortuous structure preservation; Complexity theory; Electronic mail; Heuristic algorithms; Morphology; Noise; Robustness; Timing; Path operators; complete and incomplete paths; curvilinear structures; mathematical morphology;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2014.2303647
Filename :
6728734
Link To Document :
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