Image difference threshold strategies and shadow detection
BMVC '95 Proceedings of the 1995 British conference on Machine vision (Vol. 1)
A new dichotomization technique to multilevel thresholding devoted to inspection applications
Pattern Recognition Letters
Thresholding for Change Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Machine Vision and Applications
Computer vision-based human body segmentation and posture estimation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Image thresholding using type II fuzzy sets
Pattern Recognition
Unimodal thresholding for Laplacian-based Canny-Deriche filter
Pattern Recognition Letters
Modified stable Euler-number algorithm implementation for real-time image binarization
Journal of Real-Time Image Processing
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The problem of finding an automatic thresholding technique is well known in applications involving image differencing like visual-based surveillance systems, autonomous vehicle driving, etc. Among the algorithms proposed in the past years, the thresholding technique based on the stable Euler number method is considered one of the most promising in terms of visual results. Unfortunately its high computational complexity made it an impossible choice for real-time applications. The implementation here proposed, called fast Euler numbers, overcomes the problem since it calculates all the Euler numbers in just one single raster scan of the image. That is, it runs in O(hw), where h and w are the image's height and width, respectively. A technique for determining the optimal threshold, called zero crossing, is also proposed.