An Improved Real-Time Contour Tracking Algorithm Using Fast Level Set Method

Author(s):  
Myo Thida ◽  
Kap Luk Chan ◽  
How-Lung Eng
2018 ◽  
Vol 10 (10) ◽  
pp. 1544 ◽  
Author(s):  
Changjiang Liu ◽  
Irene Cheng ◽  
Anup Basu

We present a new method for real-time runway detection embedded in synthetic vision and an ROI (Region of Interest) based level set method. A virtual runway from synthetic vision provides a rough region of an infrared runway. A three-thresholding segmentation is proposed following Otsu’s binarization method to extract a runway subset from this region, which is used to construct an initial level set function. The virtual runway also gives a reference area of the actual runway in an infrared image, which helps us design a stopping criterion for the level set method. In order to meet the needs of real-time processing, the ROI based level set evolution framework is implemented in this paper. Experimental results show that the proposed algorithm is efficient and accurate.


2011 ◽  
Vol 26 (134) ◽  
pp. 154-170 ◽  
Author(s):  
Florian Burkert ◽  
Matthias Butenuth ◽  
Markus Ulrich

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