• 대한감각통합치료학회지
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• 제18권3호
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• pp.1-13
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• 2020

목적 : 본 연구는 주의력결핍 과잉행동장애(Attention Deficit Hyperactivity Disorder; ADHD) 아동과 일반 아동을 대상으로 감각처리능력과 시지각 기술을 비교하고자 하였다. 연구방법 : 연구대상은 지역적 환경이 동일한 아동으로 선정하였다. 소아정신과에서 ADHD로 진단받은 아동 25명과 초등학교 1, 2학년의 일반 아동 51명을 대상으로 감각처리능력과 시지각 기술을 평가하였다. 아동의 감각처리능력을 측정하기 위해 감각프로파일(Sensory Profile; SP)을 사용하였고 시지각 기술을 측정하기 위해 한국판 시지각 발달검사(Korean Developmental Test of Visual Perception-2; K-DTVP-2)를 사용하였다. 두 군 간의 감각처리능력과 시지각 기술의 차이는 독립표본 t 검정을 사용하여 분석하였다. 결과 : ADHD 아동과 일반 아동의 감각프로파일(SP)의 모든 하위 영역에서 통계적으로 유의한 차이를 보였다. 감각요인을 비교한 결과 감각예민을 제외한 8가지 요인에서 통계적으로 유의한 차이를 보였다. K-DTVP-2의 모든 시지각 지수에서 유의한 차이를 보였다. K-DTVP-2의 하위 항목 표준점수를 비교한 결과 공간위치(p=.031), 도형-배경(p=.001), 시각 통합(p=.005), 눈-손 협응(p=.000), 따라 그리기(p=.044), 공간관계(p=.006)에서 통계적으로 유의한 차이를 보였다. 결론 : 본 연구는 임상에서 ADHD 아동의 행동의 특성을 이해하는데 감각처리능력과 시지각 기술이 중요하다는 근거가 되며 ADHD 아동의 평가, 교육 및 연구에 도움을 제공할 수 있다는 점에서 의미가 있다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제31권3호
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• pp.105-120
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• 2020

Although autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social impairments, patients with ASD frequently manifest atypical sensory behaviors. Recently, atypical sensory perception in ASD has received much attention, yet little is known about its cause or neurobiology. Herein, we review the findings from neuroimaging studies related to visual perception in ASD. Specifically, we examined the neural underpinnings of visual detection, motion perception, and face processing in ASD. Results from neuroimaging studies indicate that atypical visual perception in ASD may be influenced by attention or higher order cognitive mechanisms, and atypical face perception may be affected by disrupted social brain network. However, there is considerable evidence for atypical early visual processing in ASD. It is likely that visual perceptual abnormalities are independent of deficits of social functions or cognition. Importantly, atypical visual perception in ASD may enhance difficulties in dealing with complex and subtle social stimuli, or improve outstanding abilities in certain fields in individuals with Savant syndrome. Thus, future research is required to elucidate the characteristics and neurobiology of autistic visual perception to effectively apply these findings in the interventions of ASD.

• Journal of Information Processing Systems
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• 제19권6호
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• pp.722-729
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• 2023

Visual analytic for intangible cultural heritage has recently developed in China. Using advanced interactive visualization tools experts can observe data distribution trends and explore the implicit relationships among data within a short time. It can enhance human cognitive and analytical abilities and improve the scientific preservation of intangible cultural heritage. To support this research topic, we have reviewed recent visualization works on intangible cultural heritage in China. We divide these works into three types: text visualization, multi-dimensional visualization, and geographical visualization. Each type is illustrated by several representative works. New development trends in this area are also discussed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1994년도 하계학술대회 논문집 C
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• pp.1655-1657
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• 1994

To measure treeing, visual measurement with an optical microscope has been used to explain breakdown mechanism by treeing in materials. The conventional direct visual method of tree deterioration observation is difficult to measure in short time processing, and impossible to analyze the deteriorated area by treeing, direction of tree growth, tree patterns etc. In this paper, we have developed a tree-measuring system using image processing for the tree growth, the area of deterioration, and other progresses of treeing. As experimental result, image processing is an effective alternative to direct visual observation method.

• 반도체디스플레이기술학회지
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• 제11권3호
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• pp.39-44
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• 2012

Electronics in modern lives have become more miniaturized and precise. Multi Layered Ceramic Capacitor (MLCC) occupies 50% of electronic components consisting of electronics. This high volume of the production needs high speed and more precise machine performances. The dominate parts of the production equipments are the module transporting components and the visual inspection module. Most visual inspection has been off-line because of the image processing time. In this paper, a new image processing method is proposed to reduce thousands of matrix calculation for image processing and realize on-line high speed inspection.

• 인터넷정보학회논문지
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• 제1권1호
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• pp.1-14
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• 2000

시각정보검색 분야는 공간색인기법의 대표적인 응용분야중 하나이다. 하지만 대부분의 유사 시각질의 처리기법들은 질의처리에 있어서 어떠한 종류의 시각 정보들을 추출하여 어떻게 실행 가능한 내부질의 형태로 변환하는지의 문제와 내부질의의 수행에 있어서 어떻게 기존의 색인기법들을 효과적으로 이용할 수 있는지에 대한 설명이 명확하지 않다. 따라서 본 논문에서는 시각 심리학에 기초한 시각질의로부터의 시각정보 추출과 내부질의 형태로의 변환기법을 제시한다. 또한 위상학적 공간관계에 대한 연구를 기반으로 하여 유사 시각질의를 위한 내부질의 형태와 이를 효과적으로 수행할 수 있는 공간 색인모델을 제안한다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.773-779
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• 1996

Dried oak mushroom have complex and various visual features. Grading and sorting of dried oak mushrooms has been done by the human expert. Though actions involved in human grading looked simple, a decision making underneath the simple action comes from the result of the complex neural processing of the visual image. Through processing details involved in human visual recognition has not been fully investigated yet, it might say human can recognize objects via one of three ways such as extracting specific features or just image itself without extracting those features or in a combined manner. In most cases, extracting some special quantitative features from the camera image requires complex algorithms and processing of the gray level image requires the heavy computing load. This fact can be worse especially in dealing with nonuniform, irregular and fuzzy shaped agricultural products, resulting in poor performance because of the sensitiveness to the crisp criteria or specific ules set up by algorithms. Also restriction of the real time processing often forces to use binary segmentation but in that case some important information of the object can be lost. In this paper, the neuro net based real time recognition algorithm was proposed without extracting any visual feature but using only the directly captured raw gray images. Specially formated adaptable size of grids was proposed for the network input. The compensation of illumination was also done to accomodate the variable lighting environment. The proposed grading scheme showed very successful results.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.316-320
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• 2003

This paper introduces an autonomous underwater vehicle (AUV) model, ASUM, equipped with a visual servo control system to dock into an underwater station with a camera and motion sensors. To make a visual servoing AUV, this paper implemented the visual servo control system designed with an augmented state equation, which was composed of the optical flow model of a camera and the equation of the AUV's motion. The system design and the hardware configuration of ASUM are presented in this paper. ASUM recognizes the target position by processing the captured image for the lights, which are installed around the end of the cone-type entrance of the duct. Unfortunately, experiments are not yet conducted when we write this article. The authors will present the results for the AUV docking test.

• Journal of Information Processing Systems
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• 제19권2호
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• pp.203-210
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• 2023

The addition of traditional elements can enhance the uniqueness of visual communication design. This paper briefly introduced visual communication and applications of traditional elements in visual communication design and applied paper cuts, a handmade graphic element, to the logo design of Dezhou University's 50th anniversary. The convolutional neural network (CNN) algorithm and the analytic hierarchy process method were applied to evaluation analysis and compared with the support vector machine (SVM) algorithm. The results of the CNN algorithm on the test set verified its effectiveness. The evaluation results of the CNN algorithm were similar to the manual evaluation results, further proving the effectiveness and high efficiency of the CNN algorithm. The hierarchical analysis and the analysis of the assessment results of the CNN algorithm found that the two logo designs made full use of paper cuts.

• 한국강구조학회 논문집
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• 제11권1호통권38호
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• pp.1-11
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• 1999

본 논문에서는 강구조물의 제작 및 시공에서 용접이음부의 고품질을 확보하기 위하여 강구조물 용접이음부 외부결함의 자동검출에 관한 화상처리 알고리즘을 개발한다. 개발 알고리즘은 광학계의 적절한 배치에 의해 얻어지는 4매의 입력화상을 이용하여 기존의 기법에서 검출할 수 없었던 용접이음부 외부결함을 검출할 수 있음을 보인다. 용접 외부결함이 존재하는 시험편을 제작하고 실험을 통하여 개발 알고리즘의 유용성을 확인하였다. 또한 검출된 용접외부결함의 분류 결과를 육안검사 결과와 비교하였다.