• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11b
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• pp.318-324
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• 2000

Ultrasonic and magnetic resonance imaging systems are used to visualize the interior states of biological objects. These nondestructive methods have many advantages but too much expensive. And they do not give exact color information and may miss some details. If it is allowed to destruct some biological objects to get the interior and exterior information, constructing 3D image from the series of the sliced sectional images gives more useful information with relatively low cost. In this paper, PC based automatic 3D model generator was developed. The system was composed of three modules. One is the object handling and image acquisition module, which feeds and slices objects sequentially and maintains the paraffin cool to be in solid state and captures the sectional image consecutively. The second is the system control and interface module, which controls actuators for feeding, slicing, and image capturing. And the last is the image processing and visualization module, which processes a series of acquired sectional images and generates 3D graphic model. The handling module was composed of the gripper, which grasps and feeds the object and the cutting device, which cuts the object by moving cutting edge forward and backward. Sliced sectional images were acquired and saved in the form of bitmap file. The 3D model was generated to obtain the volumetric information using these 2D sectional image files after being segmented from the background paraffin. Once 3-D model was constructed on the computer, user could manipulate it with various transformation methods such as translation, rotation, scaling including arbitrary sectional view.

• Agricultural and Biosystems Engineering
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• v.1 no.2
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• pp.95-99
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• 2000

Nondestructive methods such as ultrasonic and magnetic resonance imaging systems have many advantages but still much expensive. And they do not give exact color information and may miss some details. If it is allowed to destruct some biological objects to get interior and exterior informations, constructing 3D image form a series of slices sectional images gives more useful information with relatively low cost. In this paper, a PC based automatic 3D model generator was developed. The system was composed of three modules. The first module was the object handling and image acquisition module, which fed and sliced the object sequentially and maintains the paraffine cool to be in solid state and captures the sectional image consecutively. The second one was the system control and interface module, which controls actuators for feeding, slicing, and image capturing. And the last was the image processing and visualization module, which processed a series of acquired sectional images and generated 3D volumetric model. Handling module was composed of the gripper, which grasped and fed the object and the cutting device, which cuts the object by moving cutting edge forward and backward. sliced sectional images were acquired and saved in a form of bitmap file. 2D sectional image files were segmented from the background paraffine and utilized to generate the 3D model. Once 3-D model was constructed on the computer, user could manipulated it with various transformation methods such as translation, rotation, scaling including arbitrary sectional view.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.40 no.7
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• pp.582-589
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• 2012

This paper describes the algorithm recognizing car type from the image received from UAV and the recognition results between three types of car images. Using the NCC(Normalized Cross-Correlation) algorithm, geometric information is matched from template images. Template images are obtained from UAV and satellite map and indoor experiment is performed using satellite map. After verification of the possibility, experiment for verification of same car type recognition is performed using small UAV. In the experiment, same type cars are matched with 0.6 point similarity and truck with similar color distribution is not matched with template image of a sedan.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.4C
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• pp.417-425
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• 2006

This Paper Proposes a method of building a panoramic video from several videos captured from adjacent cameras. The panoramic image which constructed from adjacent and overlapped images is used for photogrammetry, satellite photo or many computer graphic applications. The perspective transformation, which is estimated from the appropriate corresponding pairs of images, can be used to construct the panoramic image without unwarranted distortion and its quality is decided by how to find the features needed for transform estimation. We used the corner points for the corresponding features, and morphological structures were utilized for fast and robust corner detection. We used the criterion of the corner strength, which guarantees the robust detection of the corner in most situations. For the transformation, 8 parameters were estimated from perspective equations which use matched points of adjacent images, and bilinear color blending was used to construct a soapless panoramic video. The experiments showed that the proposed method yields fast results with good quality under various conditions.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.704-716
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• 2008

This study aims to explore the creation of fashion design that embraces the diversity of human culture by examining oriental images that appear in the modern fashion with a focus on new paradigms that significantly affect human life as the latest trends, and by reflecting the trends of the times. The results of this study are as follows: First, this study examined that with regard to paradigm, a theoretical frame to view universe, the dichotomous, determinist, mechanism, linear paradigm collapsed to convert to undetermined, exoteric, pluralistic, indeterministic, organic, and holistic paradigm. The new paradigm is identified to have emerged before and after 1950s, and through the new paradigm, the characteristics of postmodernism such as historicality, popularity, locality, folkways and the characteristics of deconstructionism, internally mutual text, post phenomenon, undeterminability and externally exposure, destruction, poverty, decomposition and analysis, were identified. Second, the Orient is defined as the generic term referring to the entire Asian areas east of Turkey. Through the developmental process of oriental images, it was converted from the Oriental image, which mysteriously and romantically represents oriental elements, into the ethnic image that represents long time oriental traditions and indigenous culture together with the characteristics of the new paradigm. Third, the artistic characteristics of the Oriental costumes presented by Korea, China and Japan are expressed in developmental types, T-type plane structure, layered style, asymmetrical adjustment and easy silhouette, and they show indigenous characteristics of each country, for example, Chinese styles in dragon pattern, red and yellow, Japanese styles in flower design and achromatic color. Fourth, the Oriental Image, combined with the postmodernism and deconstructionism through the new paradigm, has two: one Oriental image highlights traditional elements by creating new Oriental image such as natural image, folk image, hybrid image and deconstruction image; and another is undetermined and vague by combining or decomposing Oriental or Western elements. It is expected that fashion designs that reflect these contexts of the times will contribute to the strengthening of international competitiveness.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.3
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• pp.447-458
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• 1999

The purpose of this study was to analyze jeans market faced with economic difficulties to provide jean's maker with a large representative data base for jeans marketing strategy. This study surveyed jeans market and analyzed brand awareness. brand image and consumer's seeking image for 700 young adults. The 700 questionnaires were distributed at the five locations(Opkujung Shinchon Munjungdong, Shinrimdong '||'&'||' Suwon) and 656 reliable ones were used for statistical analysis. A. SAS statistical package including frequency table factor analysis. analysis of variance. and Duncan's multiple range test was used. The results are as follows : 1. Brand awareness involves "brand recall" based on asking a person to name recalled first and "brand rcognition" based on asking to identify brand name from 30 given brands. The result indicated that "Levis" was dominant for brand recall and Guess was dominant for brand recognition. 2. Regarding the brand image the result showed that "Vov" was best represented for sophisticated '||'&'||' trendy brand images "Storm" for characteristics brand image "Jambangee" for reasonable price '||'&'||' comfortable brand images and "Levis" for classic '||'&'||' design/color brand images. 3. As a result of factor analysis on consumer's seeking image six factors(characteristic/gay, intelligent/sexy, feminine/sophisticated , active/functional, cute/young, simple/comfortable) were found. Several factors had a relationship with demographic variables and preferred design. 4 Many young adults favored following design details ; low waist relaxed thigh with straight leg and long length up to the end of shoes. Also they preferred basic pocket to cargo pocket and simple logo accessories to metal ones.simple logo accessories to metal ones.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.2
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• pp.270-279
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• 2004

The purpose of this study is to make a basic resource in developing a design satisfying male consumers＇ fashion inclination by examining the features of the men＇s fashion style shown in the fashion collections. Collected were 1,291 photos relating to the suit style through the analysis on the men＇s fashion collections for 8 years(1995-2002). Representative men＇s fashion images are extracted from these photos, then figurative features were analyzed and typified according to image, and finally representative fashion styles were presented and its meaning was analyzed. Representative men＇s fashion images are Sophisticated, Casual, Elegant, Active, Natural, Classic, Romantic, Ethnic, Military, Marine, Colonial, and Avant-garde. With the subcategories such as detailed shape of jacket and trousers, the relationship of color between upper and lower clothes, type and organizing method of material quality, type and arranging method of pattern, and coordination, the extracted fashion images were analyzed the figurative features. After finding out the common and different features, four men＇s fashion styles were suggested. Formal style maintains the typical suit style and has the feature expressing the men＇s authority, tradition, and honor. It includes Sophisticated, Elegant. and Classic image. Casual St Sporty style has the feature that there is a change in the volume of suit by adding activity to the typical suit style. It includes Casual, Active, and Natural image. Uniformed style is that political and social environment such as war has an influence on the suit design. It includes Military, Marine, and Colonial image. Deformed style has the feature that it suggests new type instead of adhering to the typical suit design. It includes Ethnic, Romantic, and Avant-garde image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1938-1962
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• 2015

Security of information during transmission is a major issue in this modern era. All of the communicating bodies want confidentiality, integrity, and authenticity of their secret information. Researchers have presented various schemes to cope with these Internet security issues. In this context, both steganography and cryptography can be used effectively. However, major limitation in the existing steganographic methods is the low-quality output stego images, which consequently results in the lack of security. To cope with these issues, we present an efficient method for RGB images based on gray level modification (GLM) and multi-level encryption (MLE). The secret key and secret data is encrypted using MLE algorithm before mapping it to the grey-levels of the cover image. Then, a transposition function is applied on cover image prior to data hiding. The usage of transpose, secret key, MLE, and GLM adds four different levels of security to the proposed algorithm, making it very difficult for a malicious user to extract the original secret information. The proposed method is evaluated both quantitatively and qualitatively. The experimental results, compared with several state-of-the-art algorithms, show that the proposed algorithm not only enhances the quality of stego images but also provides multiple levels of security, which can significantly misguide image steganalysis and makes the attack on this algorithm more challenging.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.49-56
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• 2020

Detecting shadows in images and restoring or removing them was a very challenging task in computer vision. Traditional researches used color information, edges, and thresholds to detect shadows, but there were errors such as not considering the penumbra area of shadow or even detecting a black area that is not a shadow. Deep learning has been successful in various fields of computer vision, and research on applying deep learning has started in the field of shadow detection and removal. However, it was very difficult and time-consuming to collect data for network learning, and there were many limited conditions for shooting. In particular, it was more difficult to obtain shadow data from buildings and satellite images, which hindered the progress of the research. In this paper, we propose a method for generating shadow data from buildings and satellites using Unity3D. In the virtual Unity space, 3D objects existing in the real world were placed, and shadows were generated using lights effects to shoot. Through this, it is possible to get all three types of images (shadow-free, shadow image, shadow mask) necessary for shadow detection and removal when training deep learning networks. The method proposed in this paper contributes to helping the progress of the research by providing big data in the field of building or satellite shadow detection and removal research, which is difficult for learning deep learning networks due to the absence of data. And this can be a suboptimal method. We believe that we have contributed in that we can apply virtual data to test deep learning networks before applying real data.

• Journal of Broadcast Engineering
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• v.22 no.3
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• pp.327-338
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• 2017

Exposure fusion is a typical image fusion technique to generate a high dynamic range image by combining two or more different exposure images. In this paper, we propose block-based exposure adjustment considering unique characteristics of human visual system and improved saturation measure to get weight map. Proposed exposure adjustment artificially corrects intensity values of each input images considering human visual system, efficiently preserving details in the result image of exposure fusion. The improved saturation measure is used to make a weight map that effectively reflects the saturation region in the input images. We show the superiority of the proposed algorithm through subjective image quality, MEF-SSIM, and execution time comparison with the conventional exposure fusion algorithm.