• Journal of Institute of Control, Robotics and Systems
• /
• v.9 no.10
• /
• pp.844-851
• /
• 2003

We introduces a development result of semi-automatic karyotyping system using image processing method to improve a long time working of the manual method and 5% error of traditional automatic karyotying system for analyzing karyotying. The karyotyping procedures have many routine tasks such as searching metaphases, taking pictures, developing, editing, etc. There are several automatic karyotyping systems in order to reduce the task in advanced countries. However, they are very expensive, applicable to only human chromosome, and have too many functions to use easily. This paper takes aim at high quality image resolution and development of interface that can adjust brightness and contrast of image on-line. The system can be applied to animal and plants as well as human's chromosome. The system developed in this paper is applied to pig and human. The effectiveness of the system is proved by hospitals in Korea.

• The Korean Journal of Applied Statistics
• /
• v.22 no.4
• /
• pp.697-707
• /
• 2009

In actual statistical surveys, the inconsistencies within the record are often occurred due to incorrect response. The users may be confused and statistical agencies may have a problem of reliability on statistical data in this case. It is needed to detect and correct the unconvinced record without any special reasons. However, it is not simple to determine which item should be corrected in every failed record. In this paper we briefly introduce Fellegi-Holt method, apply to a business survey, and then discuss the problems for this trial editing.

• Journal of Industrial Technology
• /
• v.19
• /
• pp.179-187
• /
• 1999

The computer pattern sewing machine is an automatic sewing machine that is controlled by an input pattern. Even a novice can run this machine for various tasks fast and reliably such as sewing a button, a belt ring and an airbag, etc. The pattern processing software, which is the main software of this machine, is for editing and modifying pattern data by online teaching or off-line editing, setting up parameters, and calculate a moving distance of working area on the x-y axes. In this paper we propose an algorithm to generate pattern data for sewing by simplifying image data. The pattern data are composed of outline data like dot, line, circle, arc, curve, etc. We need converting this data into sewing data which involve sewing parameter, moving distance of working are an the x-y axes, thread, spindle speed.

• 제어로봇시스템학회:학술대회논문집
• /
• 1991.10a
• /
• pp.720-725
• /
• 1991

This paper is concerned with the program of the automatic mesh generation for 2-dimensional domain which contains the curved boundaries and holes. This program treats a new vertical - line drawing method. This method starts with 4-subdivisions of problem domain and the classification of the cross points of grid lines and boundaries. And the new node is generated by the vertical line to the line connecting the two intersections of a boundary and two grid lines in general. The boundaries are piecewise-curves composed of lines, circles, arcs, and free curves. The free curves are generated by B-Spline form. Although there were some bad elements for the complex boundary, it was possible to obtain the acceptable elements for the given boundaries. The results of automatic mesh generation can be verified directly by drawing on the computer monitor in executing the program. And it is possible to add the processes - that is, editing, hard copying, etc - using the script file in Auto-CAD.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.6
• /
• pp.363-369
• /
• 2021

High-definition road maps are used as the basic infrastructure for autonomous vehicles, so the latest road information must be quickly reflected. However, the current drawing and structural editing process of high-definition road maps are manually performed. In addition, it takes the longest time to generate road lanes, which are the main construction targets. In this study, the point cloud of the road lane markings, in which color types(white, blue, and yellow) were predicted through the PointNet model pre-trained in previous studies, were used as input data. Based on the point cloud, this study proposed a methodology for automatically drawing and structural editing of the layer of road lane markings. To verify the usability of the 3D vector data constructed through the proposed methodology, the accuracy was analyzed according to the quality inspection criteria of high-definition road maps. In the positional accuracy test of the vector data, the RMSE (Root Mean Square Error) for horizontal and vertical errors were within 0.1m to verify suitability. In the structural editing accuracy test of the vector data, the structural editing accuracy of the road lane markings type and kind were 88.235%, respectively, and the usability was verified. Therefore, it was found that the methodology proposed in this study can efficiently construct vector data of road lanes for high-definition road maps.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.47 no.1
• /
• pp.171-190
• /
• 2023

This study aims to develop algorithms for automatic extraction landmarks from the lower body of women aged 20-54 using the Grasshopper programming language, based on 3D scan data in the 8th SizeKorea dataset. First, 11 landmarks were defined using the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithm, this study developed an additional algorithm that could automatically measure 16 items, and algorithm-derived measurements and SizeKorea measurements were compared using paired t-test analysis. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685-1:2018. This study found that the algorithm successfully identified most items except for the crotch point and gluteal fold point. In the case of landmarks with significant differences, the algorithms were modified. This study was significant because scan editing, landmark search, and measurement extraction were successfully performed in one interface, and the developed algorithm has a high efficiency and strong adaptability.

• Journal of Biomedical Engineering Research
• /
• v.10 no.3
• /
• pp.317-322
• /
• 1989

In this paper, brain CT images are automatically segmented to reconstruct the 3-D scene from consecutive CT sections. Contextual segmentation technique was applied to overcome the partial volume artifact and statistical fluctuation phenomenon of soft tissue images. Images are hierarchically analyzed by region growing and graph editing techniques. Segmented regions are discriptively decided to the final organs by using the semantic informations.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.07b
• /
• pp.655-657
• /
• 2005

온톨로지를 효율적으로 관리하기 위한 관리도구의 프레임워크로써, 온톨로지 편집과 통합, 추론을 다루고 있다. 온톨로지 편집에 있어 텍스트 기반의 편집과 한국어 사용자를 위한 편집 방식 지원 그리고 semi-Automatic 편집 및 템플릿 생성에 대해 다루고 있으며 온톨로지 통합과 관련된 여러 알고리즘을 구상하고, 온톨로지에 대한 정당성 체크 및 향후 유비추론을 위한 프레임워크 개발에 대한 통합 측면과 추론에 대해 언급한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.23 no.3
• /
• pp.331-340
• /
• 2005

Digital map is very important digital geographic information which is the base for various fields such as building and using the geographic information system (GIS), planing the regional development, and etc. Therefore, it needs high accuracy. Then we offer the advanced technique which minimizes errors on digital maps, using the automated inspection through the whole figures. In addition this new technique raises the economical efficiency as well as accuracy applying the automated error detection method which can recognize, search and classify errors automatically.

• Journal of Information Processing Systems
• /
• v.13 no.5
• /
• pp.1126-1134
• /
• 2017

A variety of medical service applications in the field of the Internet of Things (IoT) are being studied. Segmentation is important to identify meaningful regions in images and is also required in 3D images. Previous methods have been based on gray value and shape. The Visible Korean dataset consists of serially sectioned high-resolution color images. Unlike computed tomography or magnetic resonance images, automatic segmentation of color images is difficult because detecting an object's boundaries in colored images is very difficult compared to grayscale images. Therefore, skilled anatomists usually segment color images manually or semi-automatically. We present an out-of-core 3D segmentation method for large-scale image datasets. Our method can segment significant regions in the coronal and sagittal planes, as well as the axial plane, to produce a 3D image. Our system verifies the result interactively with a multi-planar reconstruction view and a 3D view. Our system can be used to train unskilled anatomists and medical students. It is also possible for a skilled anatomist to segment an image remotely since it is difficult to transfer such large amounts of data.