scholarly journals Strip-pair comparison method for building threshold color-difference model: theoretical model validation

2020 ◽  
Vol 28 (14) ◽  
pp. 21336
Author(s):  
Fernando Brusola ◽  
Ignacio Tortajada ◽  
Ismael Lengua ◽  
Begoña Jordá ◽  
Guillermo Peris-Fajarnés
Keyword(s):  
Theoretical Model ◽  
Model Validation ◽  
Color Difference ◽  
Comparison Method ◽  
Difference Model ◽  
Pair Comparison

scholarly journals A Bayesian approach for developing threshold color-difference models by the strip-pair comparison method

2021 ◽  
Author(s):  
Fernando Brusola ◽  
Ignacio Montañana ◽  
Begoña Albiñana ◽  
Jimena González-Del-Río ◽  
Ismael Lengua
Keyword(s):  
Bayesian Approach ◽  
Color Difference ◽  
Comparison Method ◽  
Pair Comparison

A New Moving Human Detection Method in Color Video Image

2012 ◽  
Vol 229-231 ◽  
pp. 1166-1170
Author(s):  
Tia Nai Wu ◽  
Yun Rong Wu ◽  
Yun Yu Wu
Keyword(s):  
Background Subtraction ◽  
Detection Method ◽  
Main Idea ◽  
Color Difference ◽  
Human Detection ◽  
Background Model ◽  
Video Frame ◽  
Difference Model ◽  
Background Updating ◽  
Background Image

Moving object detection is the basic of video applications such as computer vision, object recognition and tracking, surveillance security etc. Background subtraction and symmetrical differencing are the popular methods of motion detection. The main idea of them is to compare the current video frame with a specified background image or a background model or the next video frame. For background subtraction, the obtaining of initialization is crucial and many methods have been employed, so it is necessary to model background to adapt the changes of background. In this paper, the single gaussian modeling as the initialization background model combined with an improved linear alternate background updating method is proposed. And then, a novel moving human detection method which employs background subtraction and symmetrical differencing based on rgb color difference model is presented. The experimental results show that the detection method can detect moving human effectively and real-time.

scholarly journals The use of organic concentrate in feeding quail

2020 ◽  
Vol 27 ◽  
pp. 00087
Author(s):  
Devot Ndaiikengurukiye ◽  
Firaya Akhmetzianova ◽  
Aliya Kashaeva ◽  
Delius Sharipov
Keyword(s):  
Food Safety ◽  
Laboratory Experiment ◽  
Feed Intake ◽  
Comparison Method ◽  
Feed Consumption ◽  
Partial Replacement ◽  
Control Group ◽  
Pair Comparison ◽  
Bird Droppings ◽  
Mixed Feeds

The article presents the results of the effect of partial replacement of mixed feeds with organic concentrate based on dry bird droppings (DBD) on the preservation of quail, quantitative and qualitative rates of egg productivity. For the laboratory experiment, 5 experimental groups of Manchurian quail were formed by the analogous pair comparison method. The quail of the control group consumed all-in-one feed (AF), for the quail of the experimental groups (I, II, III, and IV) part of the AF – 10, 15, 20 and 25 % by weight – was replaced with organic concentrate. Results of studies reveal that the introduction of 10 % of organic concentrate into the AF contributed to improved feed intake and livestock safety, increased egg productivity and reduced feed consumption per unit of output. With respect to the indicators of biological usefulness, toxicological and sanitary-epidemiological safety, quail eggs treated with the organic concentrate met the requirements of GOST and TR TS 021/2011 “On food safety”.

scholarly journals A study by 1 pair comparison method of chest radiographs

1997 ◽  
Vol 53 (1) ◽  
pp. 197
Author(s):  
N. Wada ◽  
K. Fuchi ◽  
H. Asano ◽  
K. Murakoshi ◽  
Y. Katsumori ◽  
...  
Keyword(s):  
Comparison Method ◽  
Chest Radiographs ◽  
Pair Comparison

scholarly journals Characterization of Color Differences for Color Palettes

2020 ◽  
Vol 2020 (28) ◽  
pp. 232-236
Author(s):  
Jialu Wu ◽  
Jie Yang ◽  
Minchen Wei ◽  
Kaida Xiao ◽  
Stephen Westland
Keyword(s):  
Computer Graphics ◽  
Color Difference ◽  
Difference Model ◽  
Color Palette ◽  
Reference Set ◽  
Color Differences ◽  
Multiple Patches ◽  
Different Color ◽  
Perceived Color

Various color difference metrics were developed for characterizing the perceived color difference between individual color patches. Color difference between palettes containing multiple color patches, however, is critically important in product design and computer graphics. This study aimed to investigate how the perceived color difference between a pair of color palettes containing more than a single color patch is affected by the order and number of color patches in the palette. Two reference color sets were generated and each set had four color palettes containing 1, 4, 9, and 16 color patches that were arranged as 1 × 1, 2 × 2, 3 × 3, and 4 × 4 patterns. Human observers scaled the color differences between a color palette of the reference set and a color palette that had revised colors, or revised orders, or a combination of revised colors and orders compared to the reference palette. The calculated color differences between the two palettes were derived using the Minimum Color Difference Model (MICDM) algorithm proposed in a recent work with different color difference metrics, including CIELAB, CMC, CIE94, and DE2000. It was found that the perceived color differences of pairs of individual color patches were significantly larger than those containing multiple patches, when the calculated color differences were the same. The color differences metrics, except for CIE94, had similar performance when characterizing perceived color differences between color palettes.

scholarly journals Exploring Guide Context in City Scenario Using Color and Gradient Features

2015 ◽  
Vol 9 (1) ◽  
pp. 177-181 ◽  
Author(s):  
Zhuo Bian
Keyword(s):  
Feature Extraction ◽  
Dimensionality Reduction ◽  
Reduction Process ◽  
Color Difference ◽  
Guidance System ◽  
Difference Model ◽  
Image Domain ◽  
Deep Feature ◽  
Deep Feature Extraction ◽  
Gradient Feature

Guide signs provide us with a remarkable amount of information about our surroundings and enables us to interact efficiently with the environment. In this paper, guidance system in a difined city scenario are explored in the image domain employing both color and gradient features. Specifically, color impression is exploited statistically based on a color difference model fusing human visual sensation and psychological perception of the designers and the guide-users. Furthermore, a gradient feature followed by a dimensionality reduction process is proposed for the deep feature extraction of signs. Our two sign features are complimentary, also of great potential for both designers and users to accomplish interaction with environment efficiently. Experiments are illustrated and the results validate our approach.

Novel Image Color Difference Metric with Chromatic Adaptation Transform

2015 ◽  
Vol 731 ◽  
pp. 114-119
Author(s):  
Liang Lu ◽  
Ming Wei Yu ◽  
Guang Yuan Wu ◽  
Ming Zhu
Keyword(s):  
Color Difference ◽  
Chromatic Adaptation ◽  
Difference Model

Existing image color difference metrics are not appropriate to predict the preserved image color difference when comparing images under mixed illumination. We propose a novel image color difference metric that apply the chromatic adaptation into image color difference model to obtain an objective image color difference. Meanwhile, a proper workflow for evaluating image color difference based on this metric is proposed. Subjective and objective experiments are properly designed and processed. The results indicate that the proposed image color difference metric is able to predict the preserved image color difference well.

The Method of Evaluating Impacts of Knowledge Management on Job Satisfaction and Intellectual Level of Work

2020 ◽  
Vol 16 (4) ◽  
pp. 42-62
Author(s):  
Jong-Chol Jin ◽  
Song-Nam Hong ◽  
Guang-Son Li ◽  
Nam-Ung Kim
Keyword(s):  
Job Satisfaction ◽  
Knowledge Management ◽  
Comparison Method ◽  
Middle Manager ◽  
Pair Comparison ◽  
Top Manager ◽  
Intellectual Level

This paper aims to propose main facets and indices that characterize knowledge management (KM), job satisfaction (JS), and intellectual level of work (ILW), and introduce a method of determining degrees of their impacts based on explaining their relation theoretically. A method of examining the impacts of KM on JS of four classes of employees (general employee, expert, middle-manager, top-manager) is proposed. Then a method of evaluating ILW resulting from JS is considered. First, the main facets and indices that characterize KM, JS, and ILW in organizations are proposed, and then their relation is theoretically explained. Second, the relation between five facets of KM and six indices of JS is determined by first regression and a method of determining relation between five facets of KM and four indices of ILW is proposed using advanced pair-comparison method.

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