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DMSG-SLAM: Cascaded Semantic and Geometric Filtering for RGB-D Tracking and Mapping in Dynamic Environments. [PDF]
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An adaptable threshold detector
Information Sciences, 2011A data set often comprises some data classes. For example, a gray-scale image may consist of some objects, each of which has similar pixels' gray-scales. The threshold obtained by Otsu's thresholding method (OTM) is biased towards certain data class with larger variance or larger number of data when the variances or the numbers of data among classes ...
Pei-Yan Pai +3 more
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Gradient based adaptive thresholding
Journal of Visual Communication and Image Representation, 2013For images with poor and non-uniform illumination, adaptive thresholding is required to separate the objects of interest from the background. In this paper a new approach to create an adaptive threshold surface is proposed to segment an image. The technique is inspired by the Yanowitz's method and is improved upon by the introduction of a simpler and ...
Haniza Yazid, Hamzah Arof
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An adaptive method for image thresholding
Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, 2003Thresholding is a traditional tool for image regions classification based on their grey-level properties, especially when there are two kinds of homogeneous regions of intensity say, object and background. A new global thresholding scheme is described in this paper.
Vladimir A. Shapiro +2 more
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Auditory Adaptation at Threshold Intensities
Acta Oto-Laryngologica, 1967Using the technique of manual adaptation test, recordings of perstimulatory changes at threshold were made during a 3-min. stimulation period on 300 patients, suffering mainly of perception deafness. Results are reported of the magnitude of the perstimulatory threshold shift at various frequencies, of the relation of this shift to recruitment ...
T, Palva, J, Kärjä, A, Palva
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A multistage adaptive thresholding method
Pattern Recognition Letters, 2005Thresholding is a simple but effective technique for image segmentation. In this paper, a general locally adaptive thresholding method using neighborhood processing is presented. The method makes use of local image statistics of mean and variance within a variable neighborhood and two thresholds obtained from the global intensity distribution.
Feixiang Yan +2 more
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Journal of the American Statistical Association, 2006
This article describes a fast, statistically principled method for monitoring streams of network counts, which have long-term trends, rough cyclical patterns, outliers, and missing data. The key step is to build a reference (predictive) model for the counts that captures their complex, salient features but has just a few parameters that can be kept up ...
Lambert, Diane, Liu, Chuanhai
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This article describes a fast, statistically principled method for monitoring streams of network counts, which have long-term trends, rough cyclical patterns, outliers, and missing data. The key step is to build a reference (predictive) model for the counts that captures their complex, salient features but has just a few parameters that can be kept up ...
Lambert, Diane, Liu, Chuanhai
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An Adaptable Threshold Decision Method
2009 Fifth International Conference on Information Assurance and Security, 2009Otsu’s thresholding method (OTM) is one of the most commonly used thresholding methods. Unfortunately, the threshold obtained by OTM is biased in favor of the class, whose standard deviation or quantity of data is larger. Besides, one may adopt distinct thresholds in different applications for a same data set.
Meng-Hsiun Tsai +4 more
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