Results 261 to 270 of about 22,509,590 (296)

Co-histogram and its application in video analysis

2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2005
The tool for video analysis addressed in this paper is called co-histogram, which is a statistic graph generated by counting the corresponding pixel pairs of two images. A co-histogram shows how the pixels are distributed among combinations of two image pixel values. By means of the co-histogram, we can have a visual perception of a widely used metric,
Pengwei Hao, Ying Chen
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The analysis and applications of adaptive-binning color histograms

Computer Vision and Image Understanding, 2004
Histograms are commonly used in content-based image: retrieval systems to represent the distributions of colors in images. It is a common understanding that histograms that adapt to images can represent their color distributions more efficiently than do histograms with fixed binnings.
Leow, W.K., Li, R.
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Histogram Analysis Using a Scale-Space Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
A new application of scale-space filtering to the classical problem of estimating the parameters of a normal mixture distribution is described. The technique involves generating a multiscale description of a histogram by convolving it with a series of Gaussians of gradually increasing width (standard deviation), and marking the location and direction ...
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Histogram concavity analysis as an aid in threshold selection

IEEE Transactions on Systems, Man, and Cybernetics, 1983
A well-known heuristic for segmenting an image into gray level subpopulations is to select thresholds at the bottoms of valleys on the image's histogram. When the subpopulations overlap, valleys may not exist, but it is often still possible to define good thresholds at the `shoulders' of histogram peaks.
Azriel Rosenfeld, Pilar de la Torre
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Evaluating Retrieval Models through Histogram Analysis

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
We present a novel approach for efficiently evaluating the performance of retrieval models and introduce two evaluation metrics: Distributional Overlap (DO), which compares the clustering of scores of relevant and non-relevant documents, and Histogram Slope Analysis (HSA), which examines the log of the empirical distributions of relevant and non ...
Kriste Krstovski, David A. Smith, Michael J. Kurtz   +2 more
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Repeatability analysis of ADC histogram metrics of the uterus

Acta Radiologica, 2018
Background Recently, histogram analysis based on voxel-wise apparent diffusion coefficient (ADC) value distribution has been increasingly performed. However, few studies have been reported regarding its repeatability.
Koichi Onodera, Masamitsu Hatakenaka, Naoya Yama, Maki Onodera, Tsuyoshi Saito, Thomas Christian Kwee, Taro Takahara   +6 more
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Local Q-Convexity Histograms for Shape Analysis

2020
In this paper we propose a novel local shape descriptor based on Q-convexity histograms. We investigate three different variants: (1) focusing only on the background points, (2) examining all the points and (3) omitting the zero bin. We study the properties of the variants on a shape and on a texture dataset.
Judit Szücs, Péter Balázs
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Exploratory Data Analysis with Linked Dotplots and Histograms

1998
Data sets are currently increasing in their number of variables as well as their number of observations. Standard exploratory tools for multivariate data analysis, like the scatterplot matrix, have problems when dealing with such data. The screen space available gives only enough resolution for a scatterplot matrix of four variables.
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Principal component analysis for histogram-valued data

Advances in Data Analysis and Classification, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jennifer Le-Rademacher, Lynne Billard
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Doppler velocity histogram analysis of hepatocellular carcinoma

Journal of Clinical Ultrasound, 1995
AbstractTo study the characteristics of tumor blood flow, flow profiles from hepatocellular carcinomas (39 profiles) and normal hepatic arteries (23 profiles) were evaluated using velocity histograms obtained with Doppler ultrasound. The histograms were classified into three types: (1) high‐peak, (2) flat, and (3) low‐peak.
K, Yasuhara, K, Kimura, H, Nakamura, M, Iwadare, M, Ohto, O, Matsuzaki   +5 more
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