Comparison and Image Evaluation of dDWI and tDWI

2021 ◽  
Vol 31 (1) ◽  
pp. 73-80
Keyword(s):  
Image Evaluation

The Effect of Image Evaluation of University Professional Golf Players on Advertising Effects

2019 ◽  
Vol 13 (2) ◽  
pp. 203-214
Author(s):  
Se-Jeong Kwon ◽  
◽  
Yoon-Suk Cha ◽  
Seung-Won Yang
Keyword(s):  
Image Evaluation ◽  
Advertising Effects

Image evaluation with chemometric strategies for quality control of paints

2007 ◽  
Vol 588 (2) ◽  
pp. 184-191 ◽  
Author(s):  
Fabíola Manhas Verbi Pereira ◽  
Maria Izabel Maretti Silveira Bueno
Keyword(s):  
Quality Control ◽  
Image Evaluation

Image Evaluation of the Photophysics Beamline at Indus-1 Synchrotron Source by Ray Tracing

1999 ◽  
Vol 28 (4) ◽  
pp. 145-159
Author(s):  
N. C. Das ◽  
B. N. Raja Sekhar
Keyword(s):  
Ray Tracing ◽  
Image Evaluation ◽  
Synchrotron Source

scholarly journals An Analysis of Radiographer Preliminary Image Evaluation – A Focus on Common False Negatives

2021 ◽  
Author(s):  
Isobel Alexander‐Bates ◽  
Michael J. Neep ◽  
Benjamin Davis ◽  
Deborah Starkey
Keyword(s):  
Image Evaluation ◽  
False Negatives

scholarly journals Color Image Evaluation for Small Space Based on FA and GEP

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Li Deng ◽  
Sui-Huai Yu ◽  
Wen-Jun Wang ◽  
Jun-Xuan Chen ◽  
Guo-Chang Liu
Keyword(s):  
Evaluation System ◽  
Frequency Conversion ◽  
Evaluation Method ◽  
Color Image ◽  
Gene Expression Programming ◽  
Image Evaluation ◽  
Evaluation Tool ◽  
Small Space ◽  
Entropy Weight ◽  
Fast Evaluation

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.

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