• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.2
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• pp.139-146
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• 2020

The camouflage pattern was difficult to distinguish from the surrounding background, so it was difficult to classify the object and the background image when the color image is used as the training data of deep-learning. In this paper, we proposed a red-green color blindness image transformation method using the principle that people of red-green blindness distinguish green color better than ordinary people. Experimental results show that the camouflage soldier's recognition performance improved by proposed a deep learning model of the ensemble technique using the imitated red-green-blind image data and the original color image data.

• Journal of Information Display
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• v.6 no.1
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• pp.22-27
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• 2005

Auxiliary address pulse driving scheme is proposed for controlling and improving the color temperature of the 42-inch WVGA ac-plasma display panel (ac-PDP) without sacrificing total luminance. Under a white-background, the color temperature of 42-inch ac-PDP is improved by about 1,700 K, whereas under a black-background, the color temperature of 42-inch ac-PDP is improved by about 3,200 K. In addition, by properly controlling the luminance in the R, G, and B cells, the color temperature of 42-inch ac-PDP can be raised from 5,827K to 10,705K.

• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.547-555
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• 2014

This paper presents a method for hand segmentation using depth information, and adaptive threshold by means of histogram analysis and color clustering in HSV color model. We consider hand area as a nearer object to the camera than background on depth information. And the threshold of hand color is adaptively determined by clustering using the matching of color values on the input image with one of the regions of hue histogram. Experimental results demonstrate 95% accuracy rate. Thus, we confirmed that the proposed method is effective for hand segmentation in variations of hand color, scale, rotation, pose, different lightning conditions and any colored background.

• Journal of the Korean Academy of Esthetic Dentistry
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• v.6 no.1
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• pp.10-17
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• 1997

It is pointed out that the color of composite resin is changing according to it's ploymerization and this color change is a harmful effect for the clinical satisfacion of composite resin restoration. The purpose of this study was to compare the changes of color of newly developed composite resins between before and after exposure of activating light. Five Compostie resins (8 shades) were employed: Palfique Estelite(UL, U, DY, G ; Tokuyama), Photo Clearfil A (US : Kuraray), Photo Clearfil Bright (US ; Kuraray), GC Graft LC(A3 ; GC), Silux Plus(U; 3M), Tristirnulus values of each material were determined before and after curing-light exposure by using a Micro Multi Photometer (MMP-1001, Nihon Denshoku Kogyo). The values were transformed into $L^*\;a^*\;b^*$ system and color changes of the resins were evaluated by the changes of $L^*$, $a^*$ and $b^*$ values for the individual shades. In addition, the effects of resin thickness and background color on color changes were also studied The finding were as follows: 1. Color changes of $L^*$, $a^*$ and $b^*$ values were recognized due to the light exposure for all products. The $b^*$ values of Palfique Estelite showed negligible changes for all shades. 2. The $b^*$ values were affected strongly by the background color, especially when decreasing the brightness on the background color.(Request original article reprints to Dr. Aoshima)

• Horticultural Science & Technology
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• v.33 no.4
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• pp.559-565
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• 2015

The rind phenotype of watermelon fruits is an important agronomic characteristic in the watermelon market. Inheritance and linkage analyses were performed for three rind-related traits that together determine the rind phenotype: foreground stripe pattern, rind background color, and depth of rind color. The inheritance of the foreground stripe pattern was analyzed using three different $F_2$ populations, showing that the striped pattern is dominant over the non-striped pattern. The inheritance analysis of the rind background color was performed using $F_2$ populations of the '10909' and '109905', and the depth of rind color was analyzed using $F_2$ populations of the '90509' and '109905'. Yellow color was found to be dominant over green color, and a deep color was dominant over the standard color. Linkage analysis of the three traits was conducted using three $F_2$ populations in which two traits were segregating. Each pair of traits was inherited independently, which demonstrated that the three traits are not linked. Therefore, we propose a three-locus model for the determination of rind phenotype, providing novel insight that rind phenotype is determined by the combination of three genetically independent loci.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.137-144
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• 2017

Face detection is still a challenging task under severe face pose variations in complex background. This paper proposes an effective algorithm which can detect single or multiple faces based on skin color detection and depth information. We introduce Gaussian mixture model(GMM) for skin color detection in a color image. The depth information is from three dimensional depth sensor of Kinect V2 device, and is useful in segmenting a human body from the background. Then, a labeling process successfully removes non-face region using several features. Experimental results show that the proposed face detection algorithm can provide robust detection performance even under variable conditions and complex background.

• International Journal of Human Ecology
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• v.11 no.1
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• pp.1-10
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• 2010

Two elements of paisley textile design (color and size of motif) were manipulated to investigate their effects on people's perception. Korean and Caucasian American women were selected to represent Asian and Western countries to compare the differences in image perceptions of paisley patterns between two cultures. The participants were 168 female university students composed of 84 Caucasian Americans and 84 Koreans. The experimental design was a $2{\times}2{\times}7$ factorial design: two levels of perceiver's culture, two levels of motif size, and seven levels of the motif color. The four factors used to account for image perception were an elegance factor, individuality factor, maturity factor, and femininity factor. The results of the present study confirm that image perception can be different according to the color and size of a motif and the perceiver's culture. In the results, Americans perceived the paisley pattern as more preferable than Koreans did. Red background + Orange motif was perceived as the most feminine and Dark blue background + Sky blue motif and Dark gray background + Gray motif was perceived as the most masculine in both cultures. Compared to the big motif, the small motif was perceived as more elegant in both cultures.

• The Journal of Advanced Prosthodontics
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• v.5 no.3
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• pp.319-325
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• 2013

PURPOSE. The objective of this study was to determine the effect of the color of a background substructure on the overall color of a zirconia-based all-ceramic crown. MATERIALS AND METHODS. Twenty one posterior zirconia crowns were made for twenty subjects. Seven premolar crowns and six molar crowns were cemented onto abutments with metal post and core in the first and second group. In the third group, eight molar crowns were cemented onto abutments with a prefabricated post and composite core build-up. The color measurements of all-ceramic crowns were made before try-in, before and after cementation. A repeated measure ANOVA was used for a statistical analysis of a color change of all-ceramic crowns at ${\alpha}$=.05. Twenty four zirconia specimens, with different core thicknesses (0.4-1 mm) were also prepared to obtain the contrast ratio of zirconia materials after veneering. RESULTS. $L^*$, $a^*$, and $b^*$ values of all-ceramic crowns cemented either on a metal cast post and core or on a prefabricated post did not show significant changes (P>.05). However, the slight color changes of zirconia crowns were detected and represented by ${\Delta}E{^*}_{ab}$ values, ranging from 1.2 to 3.1. The contrast ratios of zirconia specimens were 0.92-0.95 after veneering. CONCLUSION. No significant differences were observed between the $L^*$, $a^*$, and $b^*$ values of zirconia crowns cemented either on a metal cast post and core or a prefabricated post and composite core. However, the color of a background substructure could affect the overall color of posterior zirconia restorations with clinically recommended core thickness according to ${\Delta}E{^*}_{ab}$ values.

• Journal of Broadcast Engineering
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• v.16 no.1
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• pp.178-181
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• 2011

With the development of mobile devices and intelligent surveillance system loaded with pan/tilt cameras, object tracking with non-stationary cameras has become a topic with increasing importancy. Since it is difficult to model a background image in a non-stationary camera environment, colors and texture are the most important features in the tracking algorithm. However, colors in the background similar to those in the target arise instability in the tracking. Recently, we proposed a robust color based tracking algorithm that uses an area weighted centroid shift. In this letter, we update the model such that it becomes more stable against background colors. The proposed algorithm also incorporates time filtering by adding an additional energy term to the energy functional.

• Proceedings of the ESK Conference
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• 1995.04a
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• pp.181-186
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• 1995

This study investigated the effects of several factors - stimulus color, background color, and predicted depth - that affect depth perception in stereoscopic displays. For this study, two experiments were conducted; in the first experiment, the subjects were asked to indicate the depth perceived from presented image(rectangle) using matching mark, and in the second experiment, the subjects were asked to adjust one image(controllable rectangle) to have the same perceived depth as the other image(fixed rectangle) using keyboard. The depth perceived under various combination of levels of these factors was compared with depth predicted by the geometry of streopsis. Through two experiments, we found that stimulus color, predicted depth, and interaction between stimulus color and background color affected perceived depth significantly, and that red was perceived to be closest to the observer followed by yellow, green, and then blue.