A Real-Time Approach of Level-Set-Based Contour Tracking for Accurate Foreground Extraction

Author(s):  
Chaoqun Hong ◽  
Zhi Yang ◽  
Jiajun Bu ◽  
Chun Chen ◽  
Xiaoyu Deng
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.


2022 ◽  
Vol 31 ◽  
pp. 15-29
Author(s):  
Qing Cai ◽  
Huiying Liu ◽  
Yiming Qian ◽  
Sanping Zhou ◽  
Jinjun Wang ◽  
...  

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