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研究生: 陳愉明
Aditya Tandra
論文名稱: 白光屬性對水果和蔬菜的視覺接受度的影響
Effects of Various White Light Properties on Visual Acceptability of Fruits and Vegetables
指導教授: 歐立成
Li-Chen Ou
口試委員: 孫沛立
Pei-Li Sun
李宗憲
Tsung-Xian Lee
學位類別: 碩士
Master
系所名稱: 應用科技學院 - 色彩與照明科技研究所
Graduate Institute of Color and Illumination Technology
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 206
外文關鍵詞: Fruits, Tastiness, Overall appreciation, Duv, Color quality scale, TM-30, Memory color rendering index
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Visual cues, especially color, is regarded the most prominent aspect in food appreciation, since it leads to perception of other related factors, such as taste, odor, and even its overall quality. However, people rarely realize that the selection of lighting also gives a huge impact in object color. In this research, we focused on the impact of various white light properties to the impression of appearance, tastiness, and overall appreciation of eight kinds of fruits and vegetables of four hues – red, orange, yellow, and green. The experimental white test light sources were designed by modifying spectral power distribution intensity across visible light wavelength spectrum so that the desired correlated color temperature, Duv, and color rendering index Ra values could be achieved with the help of QLED Navigator software. Then, observers were brought into a dark room, and rated the fruits and vegetables presented under test light sources inside a Thouslite viewing cabinet, with the inner walls covered in black to block any possible light reflectance from the LED Cube light source.

We made good use of three recent color rendering indices – Color Quality Scale (CQS), IES-TM-30-15 (TM-30), and Memory Color Rendering Index (MCRI) in order to further understand the characteristics of our test light sources. For most cases, CIE Ra and CCT values had stronger impact on subjective perception of fruits and vegetables, however the different features of color rendering measures successfully gave us more insight about the characteristics of light sources. Red and orange colored fresh produce were shown to prefer light sources that put a heavy emphasis on the ability to support more saturation, hence showing higher preferences to light sources with the ability to enhance more chroma and a wider gamut area. In addition, luminance was shown to be another important consideration for appreciation of yellow objects. A unique case occurred in broccoli, as it was the only sample to prefer lightings with positive Duv values, hence giving a hint that the color selection of lighting should also be worth considered.

When comparing the performances of different color rendering measures, it was shown
that preference scale (Qp of CQS) and gamut scale (Rg of TM-30) measures highly
complemented the information that was not available on fidelity-related scales. However, this effect varied depending on the object colors. While red and orange colors benefited from such measures, the same effect was reduced on yellow and green. In the case of comparison between gamut measures, Rg of TM-30 was found to be superior to Qg in general. Meanwhile, the concept of memory color rendering index did not go along with all colors, with only red and orange showing satisfactory results. CRI Ra as a universally recognized color rendering method worked well for yellow samples.

Abstract i Acknowledgment iii Table of Contents vi List of Tables xi List of Figures xv 1. Introduction 1 1.1 Motivation of the Research 1 1.2 Objectives of the Research 2 1.3 Approach of the Research 2 1.3.1 Main Idea 2 1.3.2 Novelties of the Research 3 1.4 Structure of the Research 3 2. Literature Review 5 2.1 Human Color Vision 5 2.2 Color Attributes 6 2.2.1 Hue 6 2.2.2 Brightness 6 2.2.3 Colorfulness 6 2.2.4 Lightness 6 2.2.5 Chroma 7 2.2.6 Saturation 7 2.3 Measuring Colors 7 2.3.1 CIE 1931 XYZ 7 2.3.2 CIE 1960 UCS 9 2.3.3 CIE 1976 UCS 10 2.3.4 CIELAB 11 2.3.5 CIECAM02 and CAM02-UCS 13 2.3.6 IPT Color Space 14 2.4 Light Sources and Illuminants 14 2.4.1 Types of Light Sources 14 2.4.1.1 Commercial Lamps (Self-Luminous Light Sources) 14 2.4.2.2 Illuminants 16 2.4.2 Lighting Properties 16 2.4.2.1 Spectral Power Distribution 16 2.4.2.2 Luminous Efficacy of Radiation 17 2.4.2.3 Color Temperature and Correlated Color Temperature 17 2.4.2.4 Duv 18 2.5 Color Rendering 20 2.5.1 CIE Color Rendering Indices 20 2.5.2 Color Quality Scale (CQS) 22 2.5.3 IES-TM-30-2015 (TM-30) 26 2.5.4 Memory Color Rendering Index (MCRI) 31 2.5.5 Importance of Color Rendering for Light Sources 34 2.6 Food Appreciation 35 2.6.1 Concept and Development of Food Appreciation Studies 35 2.6.2 Effect of Color 35 2.6.3 Effect of Food Colorants 36 2.6.4 Effect of Food Surface 37 2.6.5 Effect of Lighting 38 2.6.6 Effect of Individual Background 40 3. Research Methods 42 3.1 Experimental Setup 42 3.2 Lighting Design and Selection 43 3.3 Selection of Samples 46 3.4 Structure of Assessment Form 48 3.4.1 Pre-Assessment 48 3.4.2 Main Part 48 3.4.3 Post-Assessment 49 3.5 Observers 49 3.6 Experimental Procedures 51 3.7 Strategies of Data Analysis 52 3.7.1 Arithmetic Mean 52 3.7.2 Categorical Judgment (CJ) Method 52 3.7.3 Pearson’s Correlation Coefficient 54 3.7.4 Spearman’s Rank Coefficient 55 3.7.5 Non-Parametric One-Way ANOVA 56 3.7.6 Bubble Chart for Data Presentation 56 4. Results and Discussions 58 4.1 Measurement Results of Experimental Samples 58 4.2 Variability Analysis 60 4.2.1 Intraobserver Variability Analysis 60 4.2.2 Interobserver Variability Analysis 61 4.3 Initial Experimental Results 62 4.3.1 Measuring Luminance of Test Light Sources 62 4.3.2 Main Test 64 4.3.3 Repeat Test 65 4.3.4 Categorical Judgement (CJ) Values 66 4.3.5 Result Comparison 68 4.4 Further Analysis 69 4.4.1 Wax Apple 70 4.4.2 Tomato 77 4.4.3 Orange 84 4.4.4 Carrot 91 4.4.5 Lemon 98 4.4.6 Banana 105 4.4.7 Cucumber 112 4.4.8 Broccoli 119 4.5 Testing Existing Light Quality Metrics 126 4.5.1 General Test Results 126 4.5.2 Characteristics of Color Rendering Methods 127 4.5.2.1 CQS Scales 127 4.5.2.2 TM-30 Scales 130 4.5.2.3 MCRI Scale 133 4.6 Attitude of Observers 135 4.6.1 Hunger Rating of Observers 135 4.6.2 Personal Experience with Fruits and Vegetables 136 4.6.3 Perception of Light Changes 137 4.6.4 Experiment Duration 138 4.6.5 Visual Discomfort in the Experiment 139 4.6.6 Impact of Research on Observers 139 4.7 Further Discussions about Research Findings 140 5. Conclusion and Future Work 154 5.1 Conclusions of the Research 154 5.2 Limitations of the Research 154 5.3 Future Works and Possible Research Approaches 155 References 157 Appendices 162 A. Properties of Test Light Sources 162 A.1 Measured Values of Test Light Sources from QLED Navigator 162 A.2 Spectral Power Distribution Plots of Test Light Sources 163 B. Details about Measurement of Experimental Samples 165 B.1 CIELAB Measurement 166 B.2 Spectral Reflectance of Samples 175 C. Assessment Form for Observers 178 C.1 Chinese Version 178 C.2 English Version 182 D. Details about Experimental Sessions 184 E. Experimental Ratings 191 E.1 Main Test (Arithmetic Mean) 191 E.2 Repeat Test (Arithmetic Mean) 194 E.3 Main Test (Categorical Judgment Method) 197 F. Color Rendering Plots for Test Light Sources 200 F.1 CQS Plots 200 F.2 TM-30 Plots 202 F.3 MCRI Plots 205

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