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Segmentation and classification of streaks in a large-scale particle streak tracking system
Publikationstyp
Journal Article
Date Issued
2009-10-12
Sprache
English
Author(s)
Institut
Volume
21
Issue
1
Start Page
1
End Page
7
Citation
Flow Measurement and Instrumentation 21 (1): 1-7 (2010-03-01)
Publisher DOI
Scopus ID
Publisher
Elsevier Science
In this paper we propose improvements to particle streak tracking. The main focus is an improved segmentation method considering local image statistics combined with classic edge detection and removal of the scene background, which at the same time suppresses the noise. Furthermore, we will describe the streak features used and suggest a greedy algorithm to solve the classification problem of binarized streak segments. Finally, results using the presented algorithm are compared to those using the original particle streak system.
Subjects
Image processing
Particle
Room ventilation
Segmentation
Streak
Tracking
Velocimetry
DDC Class
600: Technik