• The Research Journal of the Costume Culture
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• v.4 no.2
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• pp.247-263
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• 1996

This study focuses on a comparative study of 1960s'retro look mode in terms of the past and present in order to find out in detail how it in the past is readjusted after it was appeared in the present. For such a study, in the first place the contents of the dress and its ornament of a retro-look fashion was refined through some literature, and then, some works of the dress and its ornament of a retro-look fashion was refinded through some literature, and then, some works of eh dress and its ornament revived in 1960's mode were analysed, based on some fashion magazines at home and abroad like Bazaar, Fashion etc News in 1990s. After 1960s'retro-look mode which reappeared in 1990s was researched in terms of silhouette, detail, texture, color, and pattern, differences between those tow periods of 1960s and 1990s and their causes are summarized as follows: 1. In the aspect of silhouette, it appears that the silhouette in 1960s is that of somewhat stiff, charming image in which Body is excluded and the silhouette in 1990s is that of an soft, feminie image in which Body is emphasized. It was understood that the cause of such a delicate difference comes from the influences of the change in aesthetic senses or awareness, naturalism and neo-feminism. 2. In the aspect of detail, it appears that the detail in 1990s is of an attempt to express in diverse images, compared to that in 1960s, and new images are created new image in 1990s by means of presenting entirely ill-matched images. The major cause of that is because of Antistandard fashion. 3. In the aspect of textures, it appears that a great feature is that the texture in 1990s is of that introduced, being changed in natural and high-class looks, compared to that of 1960s. It was reviewed that the major cause of this is because of a result from the influence of naturalism and the technical growth in various fields which has brought the development of dress material. 4. In the aspect of color, it appears that the color in 1990s is of an image of primary color which is far more sensual and feminie than that of 1960s. It was studied that the major cause of ti comes from the influence of neo-feminism, etc. 5. In the aspect of pattern, it appears that the pattern in 1990s is of that of symbolism, transposition, and the ecletic feature of various modes which appear more deeply than that of 1960s. It was studied that the major cause of such changes is because of a trend of postmodernism which has brought the change of the spiritual structure different from that in the age of modernism. In conclusion, it was understood that the retro-look fashion is of an expression technic of dress and its ornament in that o dress in the pst is simply imitate, but new reconstitution is done by using the elements in the past. at the same time, ti was clarified that even though the elements in the past are revived as they were, dress and its ornament is governed by the social and cultural environments of he day, and with this proof it can be said that the fashion in each age is of a reflection of social phenomena of that age.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.2
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• pp.231-250
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• 2014

This study considers types of design expression and examines aesthetic characteristics by analyzing images shown on clothes worn by Korean First Ladies. This study is to accumulate a fundamental database for the effective style coordination for images of First Ladies and future directions of clothing design. The types of design expression on the clothes of Korean First Ladies are as follows. First, in terms of silhouette, H line and A line is generally represented on the silhouette of clothes; in addition, the H line is highly expressed on the silhouette. The keyword of images by design types are generally feminine, elegant on the silhouette of First Ladies' clothing, and represented a progressively more modernized image on the silhouette. Second, in terms of color, it is expressed diverse images on the color of First Ladies' clothing, and exceptionally the tendency of elegant image is highly charged on the color of clothes. This sort of tendency is influenced by the preferences of First Ladies; subsequently, most First Ladies wear their clothes with a high brightness and chroma. Third, in terms of materials, the image of elegant and simple is highly expressed through First Ladies' clothes and it is caused by choosing the clothes of a plain texture rather than a visible and fancy one. The aesthetic characteristics based on an analysis of the types of design expression on the clothes of Korean First Ladies are as follows. First, 'femininity' on First Ladies' clothes is expressed by A line silhouette of a feminine curve and decorative effects. Second, 'simplicity' on First Ladies' clothes is expressed on the H line silhouette of a straight figure or through the solid colors of high chroma. Third, 'elegance' on First Ladies' clothes is represented on the silhouette of a restrained curve, long skirt hemlines, and woolen fabric with a neat, warm and soft coordination of colors. Forth, 'traditionality' on First Ladies' clothes is expressed through the application of materials and colors that influence culture, traditions, and detailed decorativeness.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.2 s.308
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• pp.21-32
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• 2006

The license plate recognition (LPR) unit consists of the following core components: plate region segmentation, individual character extraction, and character recognition. Out of the above three components, accuracy in the performance of plate region segmentation determines the overall recognition rate of the LPR unit. This paper proposes an algorithm for segmenting the license plate region on the front or rear of a vehicle in a fast and accurate manner. In the case of the proposed algorithm images are captured on the spot where unmanned monitoring of illegal parking and stowage is performed with a variety of roadway environments taken into account. As a means of enhancing the segmentation performance of the on-the-spot-captured images of license plate regions, the proposed algorithm uses a mathematical model for license plate colors to convert color images into digital data. In addition, this algorithm uses Gaussian smoothing and double threshold to eliminate image noises, one-pass boundary tracing to do region labeling, and MBR to determine license plate region candidates and extract individual characters from the determined license plate region candidates, thereby segmenting the license plate region on the front or rear of a vehicle through a verification process. This study contributed to addressing the inability of conventional techniques to segment the license plate region on the front or rear of a vehicle where the frame of the license plate is damaged, through processing images in a real-time manner, thereby allowing for the practical application of the proposed algorithm.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.25 no.2
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• pp.363-373
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• 1995

The aim of this study was to evaluate and compare observer performance between conventional radiographs and their digitized images for the detection of bone loss in the bifurcation of mandiblar first molar. One dried human mandible with minimal periodontal bone loss around the first molar was selected and serially enlarged 17 step defects were prepared in the bifurcation area. The mandible was radiographed with exposure time of 0.12, 0.20, 0.25, 0.32, 0.40, 0.64 seconds, after each successive step in the preperation and all radiographs were digitized with IBM-PC/32 bit-Dx compatible, video camera (VM-S8200, Hitachi Co., Japan), and color monitor(Multisync 3D, NEC, Japan). Sylvia Image Capture Board for the ADC(analog to digital converter) was used. The obtained results were as follows: 1. In the conventional radiographs, the mean score of the readability was higher at the condition of exposure time with 0.32 second. Also, as the size of artificial lesion was increased, the readability of radiographs was elevated (P<0.05). 2. In the digital images, the mean score of the readability was higher at the condition of exposure time with 0.40 second. Also, as the size of artificial lesion was increased, the readability of digital images was elevated(P<0.05). 3. At the same exposure time, the mean scores of readibility were mostly higher in the digitized images. As the exposure time was increased, the digital images were superior to radiographs in readability. 4. As the size of lesion was changed, the digital images were superior to radiographs in detecting small lesion. 5. The coefficient of variation of mean score has no significant difference between digital images and radiographs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2693-2700
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• 2009

This paper proposes an effective compression method to utilize the 3D integral image with large amount of data obtained by a lens array in various applications. The conventional compression methods for still images exhibit low performance in terms of coding efficiency and visual quality, since they cannot remove the correlation between elemental images. In the moving picture compression methods, 1D scanning techniques that produce a sequence of elemental images are not enough to remove the directional correlation between elemental images. The proposed method effectively sequences the elemental images from an integral image by the 2D referencing technique and compresses them using the multi-frame referencing of H.264/AVC. The proposed 2D referencing technique selects the optimal reference image according to vertical, horizontal, and diagonal correlation between elemental images. Experimental results show that compression with the sequence of elemental images presents better coding efficiency than that of still image compression. Moreover, the proposed 2D referencing technique is superior to the 1D scanning methods in terms of the objective performance and visual quality.

• Journal of Fashion Business
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• v.14 no.1
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• pp.86-105
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• 2010

Vintage fashion is a lot influenced by colors because an emotion is transmitted via images of "old feeling", "worn-out feeling" and "faded feeling" etc. Colors are visual sensation occurring at a time when lights stimulate an eye, which is a representative factor which humans first perceive when they touch objects. And colors in clothing function as a critical element which indicates an individual's impression and character as well as aesthetic sensation. In this study, I examined on the theoretical consideration and aesthetic characteristics via the previous literature on vintage fashion and colors. As an empirical study, I investigated on the colors of vintage fashion appearing in Pr$\hat{e}$t-$\grave{a}$-porter Collections, Paris from Spring/Summer, 2003 to Fall/Winter 2008. As a way for study, I investigated into the total 197 vintage fashion photos and calculated their RGB values by using photoshop. And I converted the values of the colors extracted into H V/C values by using Munsell Conversion Version 9.0.6 and analyzed on Munsell System of 10 Color Notation and the PCCS colors, classifying a color scheme by visual sensation measurement. The result of analyzing on the concept of vintage fashion and its color characteristics is as follows; Vintage fashion made an appearance the most in 2003 and 2004 and its colors appeared a lot in Y, YR, R and PB lines. Color tone concentrated on black and white, achromatic color and low chroma colors in a grayish line, chromatic color. Thus, the study found that colors suitable for a "worn-out", "faded" and "old" image are properly reflected in vintage fashion rather than a clear and bright background. In a color scheme, I found contrast color and same color appearing a lot, which gave an unharmonious feeling and a smack of the country. The study reveals that the color characteristic of vintage fashion is relatively diverse and complex in color, color tone or shade and color scheme, which shows a color trend which reflects a non-constructive and complex coordination characteristic instead of a standardized simple and clear image.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.6
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• pp.110-121
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• 2016

The primary aim of the color constancy algorithm is to estimate illuminant chromaticity. There are various statistical-based, learning-based and combinational-based color constancy algorithms already exist. However, the statistical-based algorithms can only perform well on images that satisfy certain assumptions, learning-based methods are complex methods that require proper preprocessing and training data, and combinational-based methods depend on either pre-determined or dynamically varying weights, which are difficult to determine and prone to error. Therefore, this paper presents a new optimization based illuminant estimation method which is free from complex preprocessing and can estimate the illuminant under different environmental conditions. A strong color cast always has an odd standard deviation value in one of the RGB channels. Based on this observation, a cost function called the degree of illuminant tinge(DIT) is proposed to determine the quality of illuminant color-calibrated images. This DIT is formulated in such a way that the image scene under standard illuminant (d65) has lower DIT value compared to the same scene under different illuminant. Here, a swarm intelligence based particle swarm optimizer(PSO) is used to find the optimum illuminant of the given image that minimizes the degree of illuminant tinge. The proposed method is evaluated using real-world datasets and the experimental results validate the effectiveness of the proposed method.

• Journal of Broadcast Engineering
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• v.21 no.3
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• pp.425-435
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• 2016

In this paper, we propose a classification model by analyzing raw material images recorded using a color CCD camera to automatically classify good and defective agricultural products such as rice, coffee, and green tea, and raw materials. The current classifying agricultural products mainly depends on visual selection by skilled laborers. However, classification ability may drop owing to repeated labor for a long period of time. To resolve the problems of existing human dependant commercial products, we propose a vision based automatic raw material classification combining mean shift clustering and stepwise region merging algorithm. In this paper, the image is divided into N cluster regions by applying the mean-shift clustering algorithm to the foreground map image. Second, the representative regions among the N cluster regions are selected and stepwise region-merging method is applied to integrate similar cluster regions by comparing both color and positional proximity to neighboring regions. The merged raw material objects thereby are expressed in a 2D color distribution of RG, GB, and BR. Third, a threshold is used to detect good and defective products based on color distribution ellipse for merged material objects. From the results of carrying out an experiment with diverse raw material images using the proposed method, less artificial manipulation by the user is required compared to existing clustering and commercial methods, and classification accuracy on raw materials is improved.

• Korean Journal of Food Science and Technology
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• v.28 no.4
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• pp.786-789
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• 1996

An image processing system was built to evaluate the color properties of apple and meat. The system consisted of video camera, video card, 32 bit microcomputer and an optical illuminator. The operating software was developed to carry out capturing, analyzing, displaying and storing of the 8 bit digitized images of food. The images of apples at various maturing stages were investigated to obtain the color histogram of R, G, B and Hunter value. RGB histogram showed a major difference in G value, 35.01, the minor change in R value, 6.16, and the negligible difference in B value. The image of beef cut was separated into two parts, fat and lean tissue, by applying threshold value method based on the digital value of color. The threshold value for fat was over 240 and for lean under 230 in R value, respectively. The resulting non fat image showed 2% decreased color difference value, ${\Delta}E$, than whole meat cut.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.49-59
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• 2009

Contents-based image retrieval methods are in general more objective and effective than text-based image retrieval algorithms since they use color and texture in search and avoid annotating all images for search. SIM(Self-organizing Image browsing Map) is one of contents-based image retrieval algorithms that uses only browsable mapping results obtained by SOM(Self Organizing Map). However, SOM may have an error in selecting the right BMU in learning phase if there are similar nodes with distorted color information due to the intensity of light or objects' movements in the image. Such images may be mapped into other grouping nodes thus the search rate could be decreased by this effect. In this paper, we propose an improved SIM that uses HSV color model in extracting image features with color quantization. In order to avoid unexpected learning error mentioned above, our SOM consists of two layers. In learning phase, SOM layer 1 has the color feature vectors as input. After learning SOM Layer 1, the connection weights of this layer become the input of SOM Layer 2 and re-learning occurs. With this multi-layered SOM learning, we can avoid mapping errors among similar nodes of different color information. In search, we put the query image vector into SOM layer 2 and select nodes of SOM layer 1 that connects with chosen BMU of SOM layer 2. In experiment, we verified that the proposed SIM was better than the original SIM and avoid mapping error effectively.