• 한국멀티미디어학회논문지
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• 제15권12호
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• pp.1409-1416
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• 2012

An image segmentation result depends on pre-processing steps such as contrast enhancement, edge detection, and smooth filtering etc. Especially medical images are low contrast and contain some noises. Therefore, the contrast enhancement and noise removal techniques are required in the pre-processing. In this study, we present an extension by a novel histogram equalization in which both local and global contrast is enhanced using neighborhood metrics. When checking neighborhood information, filters can simultaneously improve image quality. Most important is that original image information can be used for both global brightness preserving and local contrast enhancement, and image quality improvement filtering. Our experiments confirmed that the proposed method is more effective than other similar techniques reported previously.

• 한국정보통신학회논문지
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• 제5권6호
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• pp.1169-1174
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• 2001

본 연구는 영상처리과정에서 중요한 이진영상의 전역임계값 결정을 위한 새로운 임계화 방법을 제안하였다. 제안한 알고리즘은 원 영상의 전체적인 윤곽을 가장 많이 포함하는 최상위 비트평면을 사용하여 영상을 중복되지 않는 두 영역으로 구분한 뒤, 두 영역의 평균 밝기 값의 차이로 임계값을 자동으로 결정하는 전역 임계화 방법이다. 실험결과 제안한 방법은 인위적인 초기값 설정을 필요로 하지 않으며, 처리과정이 간단하며 문서영상과 휘도영상의 영상 윤곽을 양호하게 보존하는 이진영상을 얻을 수 있었다.

• 대한전기학회논문지:시스템및제어부문D
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• 제49권6호
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• pp.307-315
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• 2000

For the autonomy of a mobile robot it is first needed to know its position and orientation. Various methods of estimating the position of a robot have been developed. However, it is still difficult to localize the robot without any initial position or orientation. In this paper we present the method how to make the colored map and how to calculate the position and direction of a robot using the angle data of an omnidirectional image. The wall of the map is rendered with the corresponding color images and the color histograms of images and the coordinates of feature points are stored in the map. Then a mobile robot gets the color omnidirectional image at arbitrary position and orientation, segments it and recognizes objects by multiple color indexing. Using the information of recognized objects robot can have enough feature points and localize itself.

• 한국멀티미디어학회논문지
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• 제24권9호
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• pp.1203-1210
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• 2021

In this paper, we developed the inspection system of electric vehicle pouch battery using image processing. Line scan cameras are used for acquiring the all parts of the pouch battery, and several steps of image processing for extracting significant dimensions(User Required Position) of the battery. In image processing, edge lines, node points, dimension lines, etc. were extracted using Preprocessor, Square Edge Detection, and Size Detection algorithms. This is used to measure the dimensions of the location requested by the user on the pouch battery. For verification of the inspection system, the dimensions of three pouch batteries produced in the same process were measured, and the mean and standard deviation were obtained to confirm the precision.

• International journal of advanced smart convergence
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• 제8권3호
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• pp.13-19
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• 2019

In this paper, we propose and implement VVVV base interactive advertisement. It has now expanded from the traditional marketing methods of television, radio, newspapers and magazines to become a digital marketing era. However, it is still in the form of infusion-type advertising, similar to traditional marketing techniques. For more innovative we put story and design elements into digital technology. Consumers will feel fresh excitement as they experience advertising. Emotional stories and image will also provide an element for customers to talk to each other. The propose advertisement is design to recognize the movement of people in the corridor by using Arduino and ultrasonic sensor installed in the passageway where many people pass. Arduino and VVVV takes people's movements for a values. This values change the advertising image. In this case, we applied the mask in VVVV so that the image to be reproduced and the image of the background role are displayed when the person passes the sensor. By realizing this interactive advertisement, the objective is to increase the buyer's purchasing power by approaching the buyer more effectively than the existing advertisement.

• The Journal of Asian Finance, Economics and Business
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• 제6권4호
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• pp.159-170
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• 2019

The paper aims to understand the mediating effect of Country Image (CI) on the relationship between consumer cosmopolitanism and consumers' purchase, visit and investment intentions towards a foreign country, considering the moderating effects of ethnocentrism, materialism, product familiarity, and visits to a country in a global market. The study extends research on the global and local consumption by simultaneously analysing the influence of country image dimensions and several moderating effects on consumers' behavioural intentions. Four hundred and fifty-seven valid responses from international consumers were collected through a questionnaire measuring country image dimensions. Findings indicate that cosmopolitanism has a significant and positive effect on foreign consumers' behavioural intentions and country image dimensions mediate this relationship. Moreover, a moderating effect was found for ethnocentrism, materialism, product familiarity, and visits to a country on the relationship between country cognitions and the intentions to visit the country. This study shows the importance of considering cosmopolitanism as a potential segmentation variable in international markets. The results can help managers and policymakers to better understand the image that foreign consumers hold about Portugal, their intentions to buy or invest in the country, as well as to think of Portugal as a tourism destination.

• Journal of the Korean Physical Society
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• 제73권11호
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• pp.1644-1649
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• 2018

Aiming at infrared thermal images with different buried depth defects, we study a variety of image segmentation algorithms based on the threshold to develop global search ability and the ability to find the defect area accurately. Firstly, the iterative thresholding method, the maximum entropy method, the minimum error method, the Ostu method and the minimum skewness method are applied to image segmentation of the same infrared thermal image. The study shows that the maximum entropy method and the minimum error method have strong global search capability and can simultaneously extract defects at different depths. However none of these five methods can accurately calculate the defect area at different depths. In order to solve this problem, we put forward a strategy of "divide and conquer". The infrared thermal image is divided into several local thermal maps, with each map containing only one defect, and the defect area is calculated after local image processing of the different buried defects one by one. The results show that, under the "divide and conquer" strategy, the iterative threshold method and the Ostu method have the advantage of high precision and can accurately extract the area of different defects at different depths, with an error of less than 5%.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권7호
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• pp.434-441
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• 2003

This paper proposes a new quantitative and objective image quality metric which is essential to verify the performance of block-based DCT image coding. The proposed metric considers not only global distortion of coded image such as spatial frequency sensitivity and channel masking using HVS based multi-channel model, but also structural distortions caused block-based coding. The experimental results show a strong correlation between proposed metric and subjective metric.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제52권7호
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• pp.434-434
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• 2003

This paper proposes a new quantitative and objective image quality metric which is essential to verify the performance of block-based DCT image coding The proposed metric considers not only global distortion of coded image such as spatial frequency sensitivity and channel masking using HVS based multi-channel model, but also structural distortions caused block-based coding. The experimental results show a strong correlation between propose(B metric and subjective metric.

• 대한원격탐사학회지
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• 제30권6호
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• pp.787-795
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• 2014

본 논문에서는 정합된 특징점 가운데 과대 오차를 포함한 정합점을 제거한 후에 삼각망 기반 지역 변환(Triangulation-based Local Transformation, TLT)을 이용한 영상 등록 방법을 제안한다. 기하 평균 기반의 코너 검출기를 통해 검출된 코너점에 대해 Pearson's correlation coefficient를 이용한 코너 정합을 수행하고 임계값 이상의 유사도를 가지는 코너 가운데 좌우 일관성 검사(Left-Right Consistency, LRC)를 통과한 코너를 1차 정합쌍으로 선정한다. 1차 정합쌍 가운데 RANSAC 기반 글로벌 변환(RANSAC-based Global Transformation, RGT) 오차가 이상치 임계값보다 작은 정합쌍을 최종 정합쌍으로 결정한다. 최종 정합쌍 코너를 이용해서 기준 영상과 관측 영상에서 Delaunay Triangulated Irregular Networks(TINs)을 각각 구성한 후에 서로 대응되는 각 삼각형마다 어파인 변환을 수행하고 각 삼각형 내부의 모든 화소들을 기준 영상 좌표로 변환한다. 제안한 알고리즘을 KOMPSAT-2 영상에 적용하여 RANSAC 기반 글로벌 변환보다 우수한 영상 등록 성능을 보임을 확인하였다.