histogram

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his·to·gram

(hĭs′tə-grăm′)

A bar graph of a frequency distribution in which one axis lists each unique value (or range of continuous values) in a set of data, and the area of each bar represents the frequency (or relative frequency) of that value (or range of continuous values).

[Greek histos, mast, web; see stā- in Indo-European roots + -gram.]

histogram

(ˈhɪstəˌɡræm)

(Statistics) a statistical graph that represents the frequency of values of a quantity by vertical rectangles of varying heights and widths. The width of the rectangles is in proportion to the class interval under consideration, and their areas represent the relative frequency of the phenomenon in question. See also stem-and-leaf diagram

[C20: perhaps from histo(ry) + -gram]

his•to•gram

(ˈhɪs təˌgræm)

n.

a bar graph of a frequency distribution in which the bars are displayed proportionate to the corresponding frequencies.

[1890–95; < Greek histó(s) mast, beam, web + -gram¹]

histogram

Statistics. a graph showing frequency distribution in which rectangles based on the horizontal axis are assigned widths that correspond to class intervals and heights that correspond to frequency.

histogram

[ˈhɪstəgræm] N → histograma m

histogram

[ˈhɪstəgræm] n → histogramme m

histogram

[ˈhɪstəˌgræm] n → istogramma m

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References in periodicals archive ?

2) We first aggregate histograms of LBP maps from Curvelet domains to produce a histogram image of size 256x50, and then encode the histogram image again to generate novel codes, which are called Dual-encoded Local Binary Patterns (Dual-LBP).

Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition

We can see the data are normal (p=0.895), and the histogram and time series plot back that up.

Normal Data Are Nearly Never Normal: But don't obsess over the distribution

In the introduced study, the goal is to psoriatic the psoriasis CAD a system utilizing distinctive different feature sets, i.e., texture features with two algorithms, 30 Color Co-occurrence Matrix (CCM) and 216 Local Binary Pattern (LBP) and 256 Colour Histogram feature.

Computer-Aided Diagnosis Psoriasis Lesion Using Skin Color and Texture Features

The previous research uses SHOT (Signature of Histogram of Orientations) descriptor as feature descriptor [5].

A 3-Dimensional Object Recognition Method Using Relationships between Feature Points, and Invariance of Local Hue Histogram

Histogram equalization (HE) [7] is most extensively utilized for contrast enhancement.

Adaptive Image Enhancement Using Entropy-Based Subhistogram Equalization

An emergent imaging analysis, namely, ADC histogram analysis, which is based on pixel distribution, is used to improve tumor heterogeneity in DWI-MRI assessment.

Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous [sup.18]F-FDG-PET/MRI

In [13], for different ranges of red values, the variation in green plane is utilized with the help of histogram for bleeding detection.

An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space

In order to find in which part of the histogram it is possible to identify the presence of feed in the water, we represent in Figure 3 the red histogram of the pictures with feed and in Figure 4, the red histogram of pictures without feed.

The Use of Sensors for Monitoring the Feeding Process and Adjusting the Feed Supply Velocity in Fish Farms

For example, Zhang and Cheng first use DC histogram preserved in the encrypted image as a feature [21] and then exploit AC histogram [22] and a new block feature [23] for retrieval.

Secure and Efficient Image Retrieval over Encrypted Cloud Data

Then a two-dimensional transfer function with the preprocessed data is designed based on a modified 2D histogram, which is created using a novel region space based method with depth information.

Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization

In contrast to the text and shape -based approaches, Chromatic histogram (CH) operates on a totally different principle, retrieving stored images from a collection of image dataset by comparing features automatically extracted from the images.

Image retrieval using chromatic histogram

Frequency histogram of each distinct area has been used to detect the gradation of the asphalt mixture.