Fast implementation of level set method and its real-time applications

Author(s):  
Y. Twashita ◽  
R. Kurazume ◽  
K. Hara
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

Author(s):  
Weihan Zhang ◽  
Ming C. Leu

This paper presents the development of a sketch-based interactive digital prototyping method by using the level-set method as the underlying technology. Various deformative operations (e.g., warping, smoothing) are developed by the level-set method to design 2D sketches. Fast and robust numerical techniques are utilized to support the real-time performance of level-set operations. B-spline function-based shape transformation method is developed to construct 3D volumetric data from multiple 2D sketches. Virtual prototypes are then visualized by reconstructing surface models from the volumetric data. Computational cost and memory requirement of the presented method are analyzed to evaluate its real-time performance. Example virtual prototypes are shown to demonstrate the capability of the developed method.


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