• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.20 no.1
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• pp.71-78
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• 1990

This research was made to investigate the change of the image layer and of the vertical and horizontal magnification on the Panelipse radiographic image by the control of profile index. Using the Panelipse, a series of 60 exposures were taken with the steel balls placed in the holes of the plastic model plate, and then evaluated by 4 observers. Two points were assigned for a reading of sharp, one for middling sharp, and zero for unsharp. Each ball image then could be given a total reader score of 0 to 8. The author analyzed the image layer as defined by a sharpness score of 6 or more. The results obtained were as follows: As the profile index was increased, the shape of the image layer was not changed, and the width of the image layer was increased, and the position of the layer shifted away from the rotation center. As the profile index was increased, the ranges of vertical and horizontal magnification was increased, especially the ranges of horizontal magnification was greater than that of vertical magnification.

• Proceedings of the KSR Conference
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• 1998.11a
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• pp.595-600
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• 1998

Train wheels tend to wear abrasion due to frequent Starlings and brakings. They are important factors of train safety and noise. However, it is difficult and inaccurate to measure their shape and profile manually. Profile measurement system of train wheel with image processing is proposed. The system consists of CCD cameras, PCI image grabber board, and PC operated on Windows '95. Image processing algorithms such as filtering, histogram equalization, and edge detection are presented, and some processing results are illustrated.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.65-81
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• 2023

The purpose of this study is to interpret the semantic actions of body image symbolized in body expression images shown by micro-influencers body profiles to understand the body profile phenomenon of the MZ generation. As a result of collecting body profile data from micro-influencers, the body profile image types of female influencers on SNS were classified into four types, Athletic, Slim body, Natural, and, Glamorous. Images representing each type were analyzed using the Roland Barthes' Myth model analysis frame. As a result of the semantic analysis, influencers were found to be very active and bold, emphasizing certain body parts according to the type of body image they pursue. Fashion is strategically used to emphasize these aspects. It was found that the ideology of a 'subjective modern woman' was commonly expressed through emphasis on visual signs. This study is meaningful in that it can indirectly lead to the understanding the fashion culture expressed by the MZ generation and provide consumer information and essential data that can be used for communication strategies in the fashion market.

• 한국정보디스플레이학회:학술대회논문집
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• 2003.07a
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• pp.1157-1159
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• 2003

The effect of the scan velocity modulation is studied. The effect of the velocity modulation on the picture image is judged from the intensity profile of the image. The intensity profile is obtained as time integral of moving Gaussian beam. To confirm the applicability of this integral formula, the measurement and simulation data is compared. And by calculating the intensity profile for different amounts of velocity modulation, the optimum modulation displacement that gives the best image quality is obtained. This optimum modulation displacement can be used in designing scan velocity modulation system.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.5 no.2
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• pp.74-80
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• 2012

In this paper, we developed the profile analysis-based machine vision system for inspecting assembly parts in the industrial field. Implemented system composed of triple set of camera: one was used for acquiring slant image; other is required to acquire a top image; the other was used for side image. After obtaining parts which have gray scale image, threshold value was calculated by analyzing the profile of the image. Experimental results showed that proposed algorithm have a good performance for detecting fault parts and for classifying each parts as well.

• Journal of Korea Multimedia Society
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• v.20 no.11
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• pp.1720-1728
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• 2017

Active shape model is widely used in the field of image processing especially on arbitrary meaningful shape extraction from single gray level image. Cootes et. al. showed efficient detection of variable shape from image by using covariance and mean shape from learning. There are two stages of learning and testing. Hahn applied enhanced shape alignment method rather than using Cootes's rotation and scale scheme. Hahn did not modified the profile itself. In this paper, the method using directional one dimensional profile is proposed to enhance Cootes's one dimensional profile and the shape alignment algorithm of Hahn is combined. The performance of the proposed method was superior to Cootes's and Hahn's. Average landmark estimation error for each image was 27.72 pixels and 39.46 for Cootes's and 33.73 for Hahn's each.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.118-129
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• 2018

In AI chatbot service via a messenger, a profile image of the chatbot is the first thing that users see to communicate with the chatbot. This profile image not only manages an impression about the profile owner in SNS on followers, but also makes an important impression about chatbot services on users. Thus motivated, this study investigates proper profile images tailored for the types of chatbot services and users. Specifically, I reviewed the preferred images and expressions of chatbots for each purpose of chatbot service. Then, in a case study, I collected and analyzed the representative chatbot profile images for the purpose of fun and counseling. The profile images are categorized as robot, human, animal, and abstract images. Based on these categories, I surveyed the preferred profile image of the chatbot service in either the text type or image type alternatives. For the purpose of fun, in the text version, I found that both men and women preferred a human image to others. However, in the image version, men preferred woman and robot images while women preferred cute animation character and robot images. For counseling services, both men and women preferred woman and animal images most, which is similar to the results of the text version of questionnaires as well. While both genders consistently preferred real photo images, women tend to like abstract images more than men do. I expect that the results of this study would be useful to develop the proper profile images of AI chatbot for each service purpose.

• Journal of Ocean Engineering and Technology
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• v.16 no.6
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• pp.32-36
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• 2002

This paper presents the results of wave profile detection from video image using the Mexican hat function. The Mexican hat function has been extensively used in the field of signal processing to detect discontinuity in the images. The analysis was done on the numerical image and video images of waves that were taken in the small wave flume. The results show that the Mexican hat function is an excellent tool for wave profile detection.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.3
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• pp.199-205
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• 2011

This paper presents an algorithm capable of detecting free space for the autonomous vehicle navigation. The algorithm consists of two main steps: 1) estimation of longitudinal profile of road, 2) detection of free space. The estimation of longitudinal profile of road is detection of v-line in v-disparity image which is corresponded to road slope, using v-disparity image and hough transform, Dijkstra algorithm. To detect free space, we detect u-line in u-disparity image which is a boundary line between free space and obstacle's region, using u-disparity image and dynamic programming. Free space is decided by detected v-line and u-line. The proposed algorithm is proven to be successful through experiments under various traffic scenarios.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.1-8
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• 2018

The objective of study is to investigate Oral health impact profile, Self-esteem and Body image of orthodontic patients and to use it as basic data in consultation and education for orthodontic patients. A self-reported questionnaire was filled out Orthodontic patients in Seoul, Daejeon and Cheongju from March 1 to March 30, 2018. There was a positive correlation between Oral health impact profile and Self-esteem, and there was a positive correlation with Body image. Self-esteem and Body image showed positive correlation. The general characteristics of orthodontic patients are related to oral health impact profile, self-esteem and body image. So as to improve and experience positive body image and self-esteem changes while providing correct information, searching and accepting the present body image.