• The Research Journal of the Costume Culture
• /
• v.19 no.5
• /
• pp.1061-1074
• /
• 2011

This study was conducted based on a comparative analysis of design-specific features prevalent in the Women's Wear Collection S/S 2011. As the method of this study, the denim styles were classified by various fashion design factors consisting of silhouette, fit, color, and textile fabric, which were extracted from an image database. The properties of denim fabrics associated with each fashion image were investigated to inform fabric development and washing. The results of the study show that the dense and glossy surface of the denim fabric represent a modern trend, which can be achieved by blending lyocell, tencel and rayon or by using different textiles, such as lightweight plain weave and satin instead of twill. For casual look, various washing effects were utilized jean's casual feeling like freedom and activities, while in a modern image, washing effects was restricted. And a glossy textile offers a simple modern look. The Modern image represents a simple H-silhouette and wide or straight fit in bottoms as well. Brightness can be adjusted by washing-induced bleaching. High brightness gives an elegant image, while low brightness makes a casual image. The purpose of this study is to configure a database for the development of design in the growing women's casual wear market. In addition, This study, in which the elements for specific fashion image-making were analyzed, can be used as a reference for developing denim style and fabric.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.4
• /
• pp.43-49
• /
• 2021

A small infrared image homing system is a tracking system that has an infrared image sensor that identifies a target through the day and night infrared image processing of the target on the ground and searches for and detects the target with respect to the main target. This paper describes the development of a board equipped with a high-speed CPU and FPGA (Field Programmable Gate Array) to identify target through real-time image processing by acquiring target information through infrared image. We propose a CPU-FPGA combining architecture for CPU and FPGA selection and video signal processing, and also describe a controller design using FPGA to control infrared sensor.

• International Journal of Advanced Culture Technology
• /
• v.11 no.1
• /
• pp.283-289
• /
• 2023

AI is bringing about drastic changes not only in the aspect of technologies but also in society and culture. Medical AI based on deep learning have developed rapidly. Especially, the field of medical image analysis has been proven that AI can identify the characteristics of medical images more accurately and quickly than clinicians. Evaluating the latest results of the AI-based medical image processing is important for the implication for the development direction of medical AI. In this paper, we analyze and evaluate the latest trends in AI-based medical image analysis, which is showing great achievements in the field of medical AI in the healthcare industry. We analyze deep learning models for medical image analysis and AI-based medical image segmentation for quantitative analysis. Also, we evaluate the future development direction in terms of marketability as well as the size and characteristics of the medical AI market and the restrictions to market growth. For evaluating the latest trend in the deep learning-based medical image processing, we analyze the latest research results on the deep learning-based medical image processing and data of medical AI market. The analyzed trends provide the overall views and implication for the developing deep learning in the medical fields.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.20 no.4
• /
• pp.29-42
• /
• 2017

As the "Guidelines for GHG Environmental Assessment" was revised, it pointed out that the developers should evaluate GHG sequestration and storage of the developing site. However, the current guidelines only taking into account the quantitative reduction lost within the development site, and did not consider the qualitative decrease in the carbon sequestration capacity of forest edge produced by developments. In order to assess the quantitative and qualitative effects of vegetation carbon uptake, the CASA-NPP model and satellite image spatial-temporal fusion were used to estimate the annual net primary production in 2005 and 2015. The development projects between 2006 and 2014 were examined for evaluate quantitative changes in development site and qualitative changes in surroundings by development types. The RMSE value of the satellite image fusion results is less than 0.1 and approaches 0, and the correlation coefficient is more than 0.6, which shows relatively high prediction accuracy. The NPP estimation results range from 0 to $1335.53g\;C/m^2$ year before development and from 0 to $1333.77g\;C/m^2$ year after development. As a result of analyzing NPP reduction amount within the development area by type of forest development, the difference is not significant by type of development but it shows the lowest change in the sports facilities development. It was also found that the vegetation was most affected by the edge vegetation of industrial development. This suggests that the industrial development causes additional development in the surrounding area and indirectly influences the carbon sequestration function of edge vegetaion due to the increase of the edge and influx of disturbed species. The NPP calculation method and results presented in this study can be applied to quantitative and qualitative impact assessment of before and after development, and it can be applied to policies related to greenhouse gas in environmental impact assessment.

• Proceedings of the KIEE Conference
• /
• 2008.04a
• /
• pp.111-112
• /
• 2008

In this study, an image processing algorithm with Lab VIEW IMAQ Module is presented and discussed for the development of a microscopic gap measuring system using CCD sensor. LabVIEW IMAQ development application that is developed by National Instrument Co. Inc. has a graphical interface and many image processing functions, so that it provides an easier environment for the development of a measurement algorithm using the image data. Actual microscopic gap measuring experiment was executed using the algorithm developed in this study and it showed a promising result. Also, we could obtain the convenience of Lab VIEW IMAQ in developing the algorithm.

• Journal of Agricultural Extension & Community Development
• /
• v.19 no.3
• /
• pp.729-755
• /
• 2012

The role of branding has been to differentiate products, but brands have been increasingly applied to organizational image too. The brand image holds a key position by the marketing system in this era. The main purpose of this research is to analyze the case for the development of farm brand. A in-depth interview was conducted to analyze the case for development of farm brand in connection with agricultural products and their business operation. The farms used various stories in the process of develop brand including farm history, cultivation process, product, management, relationship with consumers. The study present the findings divide into brand naming, image, positioning. The farms built trust by consumer relationship with the farm brand. The results of the study provide insights for agricultural marketers who intend to design brand stories that align with their produce.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.04a
• /
• pp.336-339
• /
• 2012

VTK is a free but professional development platform for images three-dimensional (3D) reconstruction and processing. It is powerful, open-source, and users can customize their own needs by self-development of great flexibility. To give the doctors more and detailed information by simulate dissection to the 3-D brain MRI image after reconstruction. A Visualization System (VS) is proposed to achieve 3D brain reconstruction and virtual dissection functions. Based on the free VTK visualization development platform and Visual Studio 2010 IDE development tools, through C++ language, using real people's MRI brain dataset, we realized the images 3D reconstruction and also its applications and extensions correspondingly. The display effect of the reconstructed 3D image is well and intuitive. With the related operations such as measurement, virtual dissection and so on, the good results we desired could be achieved.

• 제어로봇시스템학회:학술대회논문집
• /
• 1988.10a
• /
• pp.718-721
• /
• 1988

In this paper, we develop 256*256*8 bit real-time image digitizer with the IBM-PC as a image processor. With this developed system, we process a chest X-ray image, which is a medical image, using the adaptive algorithm. In the future, we consider that the application of this developed system is extended in the various fields.

• 제어로봇시스템학회:학술대회논문집
• /
• 1992.10b
• /
• pp.520-525
• /
• 1992

This paper reports several mathematical properties of the filter vector developed for processing linearly-additive spatially-invariant image sequences. In this filtering of an image sequence into a single filtered image, the information about the image components originally distributed over the entire sequence is compressed into the one new image in a way that the desired component is enhanced and the undesired (interfering) components and noise are suppressed.

• Transactions of the Korean Society of Machine Tool Engineers
• /
• v.15 no.5
• /
• pp.37-43
• /
• 2006

The target of this study is development of web based mold discrimination system by matching vision information with CAD database. The use of 2D vision image makes possible speedy mold discrimination from many databases. The image processing such as preprocessing, cleaning is done for obtaining vivid image with object information. The web-based system is a program which runs to exchange messages between a server and a client by making of ActiveX control and the result of mold discrimination is shown on web-browser. For effective feature classification and extraction, signature method is used to make sensible information from 2D data. As a result, the possibility of proposed system is shown as matching feature information from vision image with CAD database samples.