• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1103-1106
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• 2002

현재, 컨베이어 벨트시스템에 소포를 직재하고, 우편번호를 운영자가 입력하여 구분한다. 구분된 소포 중에서 기록관리 대상의 경우에는 바코드를 판독하여 처리하고 있다. 이에 따라, 본 논문에서는 2m/sec 이내로 이송되는 소포를 라인 CCD(Charged Coupled Device) 카메라에 의해 이미지 획득한 후, 바코드 ROI 추출 방법을 위해 $32{\times}32$ 미세블룩 검사 방법을 적용하였다. ROI 추출 절차는 최대-최소 차이값과 동적 인계값 기준으로 바탕면 제거, 문자열과 바코드 영역을 판단하기 위한 대각선(diagonal) 검사방법 적용, 바코드 영역인지 검증하기 위해 수평으로 5 라인을 검사하고 에지의 수와 폭의 변화량 비교 등의 과정으로 수행하였다. 그리고 바코드 ROI 추출은 레이블링 과정에 의해 바코드 영역의 보정과 그룹크기 비교에 의한 ROI 영역의 구체화와 정보 해석을 위하여 ROI 외곽좌표 8개중에서 가장 간 중심축 라인으로 생성하는 방법 등을 적용하였다. ROI 추출과 중심축 시험결과에 의하면 $50{\sim}180msec$이내에 가능하게 되었다. 그리고, ROI 추출의 정확도는 99.994% 이상을 만족한다.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.9
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• pp.868-874
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• 2007

This paper proposes an efficient partial matching system and representation by using a region-based method for 2D image, and we applied to an extraction of the ROI(Region of Interest) according to its matching score. The matching templates consist of the global pattern and the local one. The global pattern can make it by using region-based relation between center region and its rest regions in an object. And, the local pattern can be obtained appling to the same method as global, except relation between objects. As the templates can be normalized, we use this templates for extraction of ROI with invariant to size and position. And, our system operates only one try to match, due to normalizing of region size. To use our system for searching and examining if it's the ROI by evaluating the matching function, at first, we are searching to find candidate regions with the global template. Then, we try to find the ROI among the candidates, and it works this time by using the local template. We experimented to the binary and the color image respectively, they showed that the proposed system can be used efficiently for representing of the template and the useful applications, such as partially retrievals of 2D image.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.49-57
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• 2011

Extraction of regions of interest (ROIs) is the first and important step for the applications in computer vision and affects the rest of the application process. However, ROI extraction can be easily affected by the environment such as illumination, camera, etc. Many applications adopt problem-specific knowledge and/or post-processing to correct the error occurred in ROI extraction. In this paper, proposed is a robust framework that could overcome the environmental change and is independent from the rest of the process. The proposed framework uses a differential image and a color distribution to extract ROIs. The color distribution can be learned on-line, which make the framework to be robust to environmental change. Even more, the components of the framework are independent each other, which makes the framework flexible and extensible. The usefulness of the proposed framework is demonstrated with the application of hand region extraction in an image sequence.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.477-479
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• 2016

본 논문에서는 초음파 영상에서 어깨 부위를 분석하여 어깨 힘줄(Tendon) 영역에서 인대 손상영역을 추출하는 방법을 제안한다. 제안된 방법은 초음파 영상에서 ROI(Region of Interest)을 추출하고 샤프닝 기법을 적용하여 ROI 영역을 뚜렷한 후에 퍼지 스트레칭 기법을 적용하여 명암 대비를 높인 후, 평균 이진화 기법을 적용하여 ROI 영역을 이진화 한다. 이진화된 ROI 영역에 침식, 팽창기법과 라벨링 기법을 적용하여 전체 ROI의 면적 영역에서 0.4%이하인 객체 영역들을 잡음으로 간주하여 제거한 후, ROI 영역에서 수평 너비가 가장 큰 영역의 상단 경계에 스플라인 곡선을 적용한다. 스플라인 곡선이 적용된 영역에서 곡선이 가장 높은 지점을 구한 후, 구한 지점으로부터 ROI 영역의 세로 길이의 1/5를 갖는 상단부분을 제거한 후에 양자화할 영역을 추출하고 FCM을 적용하여 양자화를 한다. 양자화된 영역에서 어깨 힘줄 영역 안에 있는 인대 손상의 후보 영역을 추출하고 면적의 크기가 0.14%이상이거나 3%이하인 영역을 어깨 힘줄의 인대 손상 영역으로 추출한다. 제안된 방법을 어깨 힘줄이 있는 초음파 영상을 대상으로 실험한 결과, 제안된 방법이 어깨 힘줄의 인대 손상 영역이 비교적 정확히 추출되었다.

• Journal of Soil and Groundwater Environment
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• v.20 no.1
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• pp.1-6
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• 2015

The objectives of this study were to calculate the radius of influence (ROI) of well for an air-sparging (AS)/soil vapor extraction (SVE) system and to evaluate the applicability of the system applied for the remediation of the petroleum contaminated rail site. For air permeability test, three monitoring wells were installed at a location of 1.3 m, 2.3 m, 3.0 m from the extraction well. And the pressure of each monitoring well was measured by extracting air from the extraction well with the pressure and flow of $(-)2,600mmH_2O$ and $1.58m^3/min$. The ROI for an extraction well was calculated as 4.31 m. Air was injected into the injection well with the pressure and flow of $3,500mmH_2O$ and $0.6m^3/min$ to estimate the radius of influence for oxygen transfer. Oxygen concentrations of air from three monitoring wells were measured. The ROI of an injection well for oxygen transfer was calculated as 3.46 m. The 28 extraction wells and 19 injection wells were installed according to the ROI calculated. The AS/SVE system was operated eight hours a day for five months. The rail site was contaminated with the petroleum and concentrations of benzene, toluene, and xylene were over the 'Worrisome Standard' of the 'Soil Environment Conservation Act'. The contaminated area was estimated as $732m^2$ and contaminants were dispersed up to (-)3 m from the ground. During the operation period, soil samples were collected from 5 points and analyzed periodically. With the AS/SVE system operation, concentrations of benzene, toluene, and xylene were decreased from 7.5 mg/kg to 2.0 mg/kg, from 32.0 mg/kg to 23.0 mg/kg, from 35.5 mg/kg to 23.0 mg/kg, respectively. The combined AS/SVE system applied to the rail site contaminated with volatile organic compounds (VOCs) exhibited a high applicability. But the concentration of contaminants in soil were fluctuated due to the heterogeneous of soil condition. Also the effect of the remediation mechanisms was not clearly identified.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1312-1314
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• 2013

본 연구에서는 조영증강 의료 초음파 영상에서 효과적인 병변 탐색을 위한 방법론을 고찰한다. 병변 영상을 포함하는 ROI 추출을 위하여 조영효과의 전이 형태에 대한 단계 분할 기법과 동적 프로젝션 데이터의 분석 기법을 제안한다. 프레임간 유사도 척도의 분석을 통하여 비정상 프레임을 제거한 후 조영제의 도달시간(AT: Arrival Time)과 확산구간을 추출하여 탐색 대상 데이터의 양을 감소시킨다. 대상구간에서 초음파 영상의 수평방향 및 수직방향 프로젝션 데이터에 대한 동적 특성을 분석함으로써 후보영역을 추출하며 마이크로 버블의 추출, 조영효과의 증가속도 및 비율 등의 요소를 고려하여 ROI 를 선별하고 그 형태를 재조정한다. 부수적으로, 대상영역에서의 각 픽셀정보에 대하여 명도변화곡선(TIC) 특성분석을 통하여 영상을 재구성하고 병변영상의 형태와 윤곽선을 추출하게 된다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.31-39
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• 2010

In some image processing system or the users who want to see a specific region of image simply, if a part of the image has higher quality than other regions, it would be a nice service. Specifically in mobile environments, preferential service was needed, as the screen size is small. So, JPEG2000 supplies this function. But this doesn't support the process to extract specific regions or service and does the functions to add some techniques. It is called by ROI(Region-of-Interest). In this paper, we use images including human faces, which are processed most preferentially and compressed with high quality. Before an image is served to the users, it is compressed and saved. Here, the face parts are compressed with higher quality than the background which are relatively with lower quality. This technique can offer better service with preferential transferring of the faces, too. Besides, whole regions of the image are compressed with same quality and after searching the faces, they can be preferentially transferred. In this paper, we use a face extraction approach based on neural network and the preferential processing with EBCOT of JPEG2000. For experimentation, we use images having several human faces and evaluate objectively and subjectively, and proved that this approach is a nice one.

• Journal of Oral Medicine and Pain
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• v.41 no.3
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• pp.85-90
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• 2016

Purpose: The aim of this study was to develop an automated software to extract tooth and pulpal area from sectional cone-beam computed tomography (CBCT) images, which can guarantee more reproducible, objective and time-saving way to measure pulp/tooth volume ratio. Methods: The software program was developed using MATLAB (MathWorks). To determine the optimal threshold for the region of interest (ROI) extraction, user interface to adjust the threshold for extraction algorithm was added. Default threshold was determined after several trials to make the outline of extracted ROI fitting to the tooth and pulpal outlines. To test the effect of starting point location selected initially in the pulpal area on the final result, pulp/tooth volume ratio was calculated 5 times with different 5 starting points. Results: Navigation interface is composed of image loading, zoom-in, zoom-out, and move tool. ROI extraction process can be shown by check in the option box. Default threshold is adjusted for the extracted tooth area to cover whole tooth including dentin, cementum, and enamel. Of course, the result can be corrected, if necessary, by the examiner as well as by changing the threshold of density of hard tissue. Extracted tooth and pulp area are reconstructed three-dimensional (3D) and pulp/tooth volume ratio is calculated by voxel counting on reconstructed model. The difference between the pulp/tooth volume ratio results from the 5 different extraction starting points was not significant. Conclusions: In further studies based on a large-scale sample, the most proper threshold to present the most significant relationship between age and pulp/tooth volume ratio and the tooth correlated with age the most will be explored. If the software can be improved to use whole CBCT data set rather than just sectional images and to detect pulp canal in the original 3D images generated by CBCT software itself, it will be more promising in practical uses.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1618-1624
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• 2020

Intestinal obstruction diagnosis method based on X-ray can affect objective diagnosis because it includes subjective factors of the examiner. Therefore, in this paper, a detection method of Intestinal Obstruction from X-Ray image using Hough transform and PCM is proposed. The proposed method uses Hough transform to detect straight lines from the extracted ROI of the intestinal obstruction X-Ray image and bowel obstruction is extracted by using air fluid level's morphological characteristic detected by the straight lines. Then, ROI is quantized by applying PCM clustering algorithm to the extracted ROI. From the quantized ROI, cluster group that includes bowel obstruction's characteristic is selected and small bowel regions are extracted by using object search from the selected cluster group. The proposed method of using PCM is applied to 30 X-Ray images of intestinal obstruction patients and setting the initial cluster number of PCM to 4 showed excellent performance in detection and the TPR was 81.47%.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.927-930
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• 2000

Visual features of lip area play an important role in the visual speech information. We are concerned about correct lip area as region of interest (ROI). In this paper, we propose a robust and fast method for locating the mouth corners. Also, we define a region of interest at mouth during speech. A method, which we have used, only uses the horizontal and vertical image operators at mouth area. This searching is performed by fitting the ROI-template to image with illumination control. Most of the lip extraction algorithms are dependent on luminosity of image. We just used the binary image where the variable threshold is applied. The variable threshold varies to illumination condition. In order to control those variations, the gray-tone is converted to binary image by threshold, which is obtained through Multiple Linear Regression Analysis (MLRA) about divided 2D special region. Thus we obtained the region of interest at mouth area, which is the robust extraction about illumination. A region of interest is automatically extracted.