A Bayesian Approach To Histogram Comparison [PDF]
arXiv, 2010 Determining if two histograms are consistent, whether they have been drawn from the same underlying distribution or not, is a common problem in physics. Existing approaches are not only limited in power but also inapplicable to histograms filled with importance weights, a common feature of Monte Carlo simulations.
arxiv
Shot Detection Using Genetic Edge Histogram and Object Based Video Retrieval Using Multiple Features [PDF]
, 2012 Yutaka Yutaka
openalex +1 more source
A Python package for fast GPU‐based proton pencil beam dose calculation
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya +4 more
wiley +1 more source
On Performance Analysis Of Diabetic Retinopathy Classification
ELCVIA Electronic Letters on Computer Vision and Image AnalysisThis paper describes the Classification of bulk OCT retinal fundus images of normal and diabetic retinopathy using the Intensity histogram features, Gray Level Co-Occurrence Matrix (GLCM), and the Gray Level Run Length Matrix (GLRLM) feature extraction ...
Sanjayprabu S +3 more
doaj +1 more source
A Comparative Tutorial of the Histogram-based Image Segmentation Methods [PDF]
arXivThe histogram of an image is the accurate graphical representation of the numerical grayscale distribution and it is also an estimate of the probability distribution of image pixels. Therefore, histogram has been widely adopted to calculate the clustering means and partitioning thresholds for image segmentation. There have been many classical histogram-
arxiv
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost [PDF]
arXiv, 2016 We investigate in this work a versatile convex framework for multiple image segmentation, relying on the regularized optimal mass transport theory. In this setting, several transport cost functions are considered and used to match statistical distributions of features.
arxiv
Long-term mapping and localization using feature stability histograms
Robotics and Autonomous Systems, 2013 This work proposes a system for long-term mapping and localization based on the Feature Stability Histogram (FSH) model which is an innovative feature management approach able to cope with changing environments. FSH is built using a voting schema, where re-observed features are promoted; otherwise the feature progressively decreases its corresponding ...
Bacca Cortés, Eval Bladimir +2 more
openaire +3 more sources
HistogramTools for Efficient Data Analysis and Distribution Representation in Large Data Sets [PDF]
arXivHistograms provide a powerful means of summarizing large data sets by representing their distribution in a compact, binned form. The HistogramTools R package enhances R built-in histogram functionality, offering advanced methods for manipulating and analyzing histograms, especially in large-scale data environments.
arxiv
A Modified Image Comparison Algorithm Using Histogram Features [PDF]
International Journal of advanced studies in Computer Science and
Engineering, 2018, 2018 This article discuss the problem of color image content comparison. Particularly, methods of image content comparison are analyzed, restrictions of color histogram are described and a modified method of images content comparison is proposed. This method uses the color histograms and considers color locations. Testing and analyzing of based and modified
arxiv
Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction [PDF]
, 2020 Maede Sharifnejad +3 more
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