• Journal of the Semiconductor & Display Technology
• /
• v.21 no.4
• /
• pp.50-52
• /
• 2022

Brownish rings (BRs) with white interiors are formed during the manufacture of silicon ingots in quartz glass crucibles. These BRs inhibit the yield of silicon ingots. However, the composition and mechanism of the formation of these BRs remain unclear thus far. Therefore, in this study, we analyzed the color and shape of these BRs. Raman analysis revealed that the brown and white colors appear owing to oxygen deficiency rather than crystallization from excess oxygen supply as previously assumed. Moreover, the dark shade of the brown areas depends on the degree of oxygen deficiency and the asymmetrical width of the brown areas is attributed to the direction of the molten silicon flow, which is influenced by the rotation and heat of the ingot crucible.

• Journal of the Korean Society of Costume
• /
• v.51 no.7
• /
• pp.93-109
• /
• 2001

Fashion photographs from leading monthly fashion magazines in 1960s and 1990s were analyzed here. The formative feature characteristics of domestic minimalism fashion were studied. The major conclusions of the study are as follows 1. The formative feature characteristics of minimalism were expressed as simplicity, minimum, repetition, and futurism. 2. The formative feature characteristics of domestic minimalism fashion were expressed as simplicity, minimum, repetition, and futurism in silhouette, shape, detail, trimming, materials, patterns and color. 3. Minimalism in art and domestic fashion were identified to have a relation in the characteristics of formative feature. In shape and color. simplicity and minimum showed analogy while repetition and futurism showed difference. 4. Simplicity and minimum were expressed in both domestic and foreign minimalism fashions, but repetition and futurism were less expressed in domestic fashion.

• Journal of the Semiconductor & Display Technology
• /
• v.14 no.2
• /
• pp.29-34
• /
• 2015

Traffic lights are common in cities and are important cues for the path planning of intelligent vehicles. In this paper, we propose a robust and efficient algorithm for recognizing traffic lights from video sequences captured by a low cost off-the-shelf camera. Instead of using color information for recognizing traffic lights, a shape based approach is adopted. In learning and detection phase, Histogram of Oriented Gradients (HOG) feature is used and a cascade classifier based on Adaboost algorithm is adopted as the main classifier for locating traffic lights. To decide the color of the traffic light, a technique based on histogram analysis in HSV color space is utilized. Experimental results on several video sequences from typical urban environment prove the effectiveness of the proposed algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.5 no.1
• /
• pp.69-72
• /
• 2004

Compared to the barcode which is being widely employed to store information on products, the color code may find more various applications because of its favorable appearance and larger possible number of combinations. However, the color values read in practice may suffer from distortions from environments and devices. In this paper, we propose efficient ways to reduce the effect of such distortions and to detect color codes. for which we apply the Right Hand on Wall (RHOW) algorithm originated from the area of the maze search. The color codes used in this paper have high values of Hue and Saturation components and have a circular shape. We first preprocessed the images to detect candidate areas of color codes, and then applied the RHOW algorithm to determine optimal coordinates of rectangles enclosing the areas. As a result, we could obtain accurate coordinates of color codes by using the RHOW algorithm.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2009.01a
• /
• pp.695-698
• /
• 2009

Three-dimensional (3D) shape recognition and distance recognition methods utilizing monocular camera systems have been required for field of virtual-reality, computer graphics, measurement technology and robot technology. There have been many studies regarding 3D shape and distance recognition based on geometric and optical information, and it is now possible to accurately measure the geometric information of an object at short range distances. However, these methods cannot currently be applied to long range objects. In the field of virtual-reality, all visual objects must be presented at widely varying ranges, even though some objects will be hazed over. In order to achieve distance recognition from a landscape image, we focused on the use of aerial perspective to simulate a type of depth perception and investigated the relationship between distance and color perception. The applicability of our proposed method was demonstrated in experimental results.

• Journal of the Korean Home Economics Association
• /
• v.39 no.12
• /
• pp.65-77
• /
• 2001

The purpose of this study is to propose development of simulation for make-up coordination by computer graphics and web animation program. In the 20th century, the power of the internet and www has been growing at such a rapid speed and also has provided the possibility of numerous market. Especially the internet marketing of womens products like cosmetics come into the spotlight as the way of sales. Many companies advertise their new products and give useful guidline of make-up technic on the website. So the contents of the website is one of the important thing to lead customer to purchasing. For the reason, this study tries develope a simulation of model in which customer can select their shape of face, color and theme whatever necessary. The model, color, theme palletes were designed by 'PHOTOSHOP 6.0'and the web image of simulation was made by 'FLASH ANIMATION 5.0'. As a result of this study is 1. It can give the chance to customer to make their own image of shape, color and theme through the simulation more speedly and exactly. 2. It can help company to advertise their new products, offer service for customers and lead customers to purchasing. 3. By accummulating the database, it can help to develop educational make-up system.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.27 no.1
• /
• pp.11-18
• /
• 1999

The objective of this study are to figure out the physical attributes of the three predictors in the Informational Approach: complexity, coherence, mystery and to investigate the relationships between these attributes and the preference exploratively. Visual inspection of the scenes relative to their rated levels of the predictors revealed the existence of relationship between these variables and the physical attributes. The following are the summary of the relationship between three predictors and the physical attributes: (1) The level of complexity was associated with the pattern of physical attributes which were the amount of facility, line, shape, color plant and arrangement of the visual elements. (2) The level of coherence was related with the regular arrangement of the visual elements. For example, there was certain pattern founded the color, shape, texture was applied to the various space repetitively and symmetrically. (3) The level of mystery had the relationship with the physical attributes of screen, spatial definition, distance of view, physical accessibility, radiant forest, the depth of space.

• Publications of The Korean Astronomical Society
• /
• v.30 no.2
• /
• pp.261-263
• /
• 2015

The metallicity distribution of globular clusters (GCs) provides a crucial clue for the star formation history of their host galaxy. With the assumption that GCs are generally old, GC colors have been used as a proxy for GC metallicities. Bimodal color distributions of GCs observed in most large galaxies have, for decades, been interpreted as bimodal metallicity distributions, indicating the presence of two populations within a galaxy. However, the conventional view has been challenged by a new theory that non-linear GC color-metallicity relations can cause a bimodal color distribution even from a single-peaked metallicity distribution. Using photometric and spectroscopic data of NGC 5128 GCs in combination with stellar population simulation models, we examine the effect of non-linearity in GC color-metallicity relations on transformation of the color distributions into the metallicity distributions. Although in some colors offsets are present between observations and models for the color-metallicity relations, their overall shape agrees well for various colors. After the offsets are corrected, the observed spectroscopic metallicity distribution is well reproduced via modeled color-metallicity relations from various color distributions having different morphologies. We discuss the implications of our results.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.50
• /
• pp.151-160
• /
• 1999

The relationship between the product design and product image can be defined using human sensibility. If there is a way to grasp the product value or product design that people want most, it could be possible to make and sell user-oriented products. In human sensibility ergonomics, the categories of design factor can be broken into shape and color of the design. Although, the color is the major factor of the design, however, texture were is also an important factor for the shape. In this study, wall-papers that have various shapes of texture were used for the experiment. The purpose of this study was to conduct a sensibility estimation experiment for the product image, and to estimate the parameters of various textures for creating new textures that could be more suitable for human sensibility.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.1
• /
• pp.166-179
• /
• 2021

Recently, with the development of technology, computer vision research based on the human visual system has been actively conducted. Saliency maps have been used to highlight areas that are visually interesting within the image, but they can suffer from low performance due to external factors, such as an indistinct background or light source. In this study, existing color, brightness, and contrast feature maps are subjected to multiple shape and orientation filters and then connected to a fully connected layer to determine pixel intensities within the image based on location-based weights. The proposed method demonstrates better performance in separating the background from the area of interest in terms of color and brightness in the presence of external elements and noise. Location-based weight normalization is also effective in removing pixels with high intensity that are outside of the image or in non-interest regions. Our proposed method also demonstrates that multi-filter normalization can be processed faster using parallel processing.