Development of an image evaluation method for skin color distribution in facial images and its application: Aging effects and seasonal changes of facial color distribution

2020 ◽  
Vol 45 (2) ◽  
pp. 290-302
Author(s):  
Kumiko Kikuchi ◽  
Yoko Mizokami ◽  
Mariko Egawa ◽  
Hirohisa Yaguchi
2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Li Deng ◽  
Sui-Huai Yu ◽  
Wen-Jun Wang ◽  
Jun-Xuan Chen ◽  
Guo-Chang Liu

Aiming at the problem that color image is difficult to quantify, this paper proposes an evaluation method of color image for small space based on factor analysis (FA) and gene expression programming (GEP) and constructs a correlation model between color image factors and comprehensive color image. The basic color samples of small space and color images are evaluated by semantic differential method (SD method), color image factors are selected via dimension reduction in FA, factor score function is established, and by combining the entropy weight method to determine each factor weights then the comprehensive color image score is calculated finally. The best fitting function between color image factors and comprehensive color image is obtained by GEP algorithm, which can predict the users’ color image values. A color image evaluation system for small space is developed based on this model. The color evaluation of a control room on AC frequency conversion rig is taken as an example, verifying the effectiveness of the proposed method. It also can assist the designers in other color designs and provide a fast evaluation tool for testing users’ color image.


2011 ◽  
Vol 121-126 ◽  
pp. 672-676 ◽  
Author(s):  
Xin Yan Cao ◽  
Hong Fei Liu

Skin color detection is a hot research of computer vision, pattern identification and human-computer interaction. Skin region is one of the most important features to detect the face and hand pictures. For detecting the skin images effectively, a skin color classification technique that employs Bayesian decision with color statistics data has been presented. In this paper, we have provided the description, comparison and evaluation results of popular methods for skin modeling and detection. A Bayesian approach to skin color classification was presented. The statistics of skin color distribution were obtained in YCbCr color space. Using the Bayes decision rule for minimum cot, the amount of false detection and false dismissal could be controlled by adjusting the threshold value. The results showed that this approach could effectively identify skin color pixels and provide good coverage of all human races, and this technique is capable of segmenting the hands and face quite effectively. The algorithm allows the flexibility of incorporating additional techniques to enhance the results.


1985 ◽  
Vol 19 (1) ◽  
pp. 48-52 ◽  
Author(s):  
J. Shibatani ◽  
M. Masano ◽  
T. Ishida ◽  
M. Shinoda ◽  
S. Yuasa

1954 ◽  
Vol 12 (4) ◽  
pp. 553-558 ◽  
Author(s):  
Gabriel Ward Lasker
Keyword(s):  

Author(s):  
Masako Mori ◽  
Toshibumi Kashiwa ◽  
Yoshimitsu Aoki

Digital radiography is becoming one of the common radiographic testing techniques in various industries. However, to apply this new technique to nuclear components, one big issue is how to evaluate the images and ensure that the images have enough quality to be used as inspection record. In film radiography, the IQI, which stands for Image Quality Indicator, have been used to ensure that the films have enough quality to detect any specified defects in the products. In this paper, new alternative IQI that was developed in our previous study for digital radiography to evaluate digital image quality is tested and evaluated. In addition, new image evaluation criteria are also developed and evaluated by calculating MTF, which stands for Modulation Transfer Function, from the IQI images of the products. Finally, the recommended procedures to evaluate radiographic testing image are summarized.


2008 ◽  
Vol 7 (2) ◽  
pp. 155-161 ◽  
Author(s):  
Bernhard Fink ◽  
Paul J Matts ◽  
Heiner Klingenberg ◽  
Sebastian Kuntze ◽  
Bettina Weege ◽  
...  

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