• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제53권8호
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• pp.407-414
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• 2004

In this paper, a new gray scale expression method that divides the scan lines into multiple blocks is suggested. The proposed method can drive 16 sub-fields per 1 TV field in the panel with XGA ($1366{\times}768$) resolution. The on and off states of even subfields depend on the condition of odd subfields. The write address mode is used in the odd subfields, while the erase address mode is used in the even subfields. Because the ramp reset pulse is applied every 2 sub-fields, both the contrast ratio and the dynamic voltage margin are sufficiently obtained in comparison with previous AWD (Address While Display) methods. In realizing 16 subfields, shortening the scan time in the erase address period was important. The X bias voltage in the erase address period affected the minimum address voltage but did not the delay time of the address discharge. The delay time of the address discharge was affected by the address voltage and the time interval between the last sustain discharge and the scanning time. We also evaluated the dynamic false contour. New method shows an improved image quality in horizontal moving, but discontinuous lines were observed at the boundaries of each block in vertical moving

• 한국생활과학회지
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• 제19권2호
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• pp.399-407
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• 2010

The purpose of this study was to investigate the visual images of shirts according to coloration and the interval of checked patterns. The experimental stimulus and questionnaires for scaling response were developed for this study. The stimuli were 12 color pictures, in which the gender, coloration(WG: white+gray, WK: white+black, GK: gray+black), and interval(0.5 cm, 1.5 cm, 3.5 cm, 5.5 cm) were manipulated. The 7-point rating scale was used for evaluation of the visual image. Data were obtained from 144 male college students and 144 female college students living in Gyeonggi, Gyeongnam, Seoul, Gwangju, Daegu, and Busan on December 2009. For data analysis, ANOVA and the Duncan-test were used by using the SPSS program. The results of this study were as follows; the visual images for shirts according to the coloration and interval of checked patterns consisted of four dimensions of attractiveness, appeal, youth, and modesty. Gender was the main factor when looking at attractiveness. Coloration had the main effect on appeal, youth, and modesty. Also, there was a significant interaction effect of gender and coloration on attractiveness, while there was a significant interaction effect of coloration and interval on modesty.

• 한국정보전자통신기술학회논문지
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• 제14권3호
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• pp.208-214
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• 2021

최근 많은 지능형 보안 시나리오 및 범죄수사에서는 사진이 아닌 얼굴 영상과 다수의 정면 사진과의 매칭을 요구한다. 기존의 얼굴 인식 시스템은 이러한 요구를 충분히 충족시킬 수 없다. 본 논문에서는 동일 인물의 스케치와 사진 간의 양식 차이를 줄임으로써, 이질적 얼굴 인식 시스템의 성능을 향상시키는 알고리즘을 제안한다. 제안하는 알고리즘은 텍스처 기술자들(그레이 레벨 동시 발생 행렬, 멀티스케일 지역 이진 패턴)을 통하여 영상의 텍스처 특징들을 각각 추출하고, 이를 바탕으로 고유특징 정규화 및 추출기법을 통해 변환 행렬을 생성하게 된다. 이렇게 생성된 벡터들 간 계산된 스코어 값은 스코어 정규화 방식들을 통하여 최종적으로 스케치 영상의 신원을 인식하게 된다.

• 전자공학회논문지B
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• 제33B권5호
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• pp.118-126
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• 1996

In object analysis by image processing, finding lines plays a universal role. And these lines can be easily found by detecting ridges and valleys in digital gray scale images. In this paper, a new method of detecting ridges and valleys by using local min/max operations was presented. This method detects ridges and valleys of desired width by using erosion and dilation properties of local min/max operations, and requires no information of ridge or valley direction. Therefore the method is efficient and computationally simple in comparision with the conventional analytical method.

• 한국정보전자통신기술학회논문지
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• 제6권2호
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• pp.81-87
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• 2013

Motion segmentation is a fundamental technique for analysing image sequences of real scenes. A process of identifying moving objects from data is a typical task in many computer vision applications. In this paper, we propose motion segmentation that generally consists from background subtraction and foreground pixel segmentation. The Approximated Median Filter (AMF) was chosen to perform background modeling. Motion segmentation in this paper covers RGB video data.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2002년도 International Meeting on Information Display
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• pp.115-117
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• 2002

In order to realize a stable rubbing process for the liquid crystal panel, the authors investigated the quantitative evaluation method of rubbing process uniformity. The proposed method focuses on the relationship between the image quality of the LCD panel for gray scale images and the rubbing uniformity. The proposed method indicates rubbing uniformity using quantitative parameters of spots and hairlines on the LCD panel.

• 전자공학회논문지S
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• 제35S권4호
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• pp.96-104
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• 1998

In this paper, the circuit of DTCNN designed using dilation and erosion operation, a basic operation of gray-scale morphology, also each cell designed PE in order to having extension using the local connectivity. In this PE design, connection of between cell and cell become simple. And it is realized to easily VLSI realization as well as to circuit to be parallel processing. As the resutls of simulations, the proposed method was verified to improved more operation speed than the sequential data processing, parallel processing DTCNN was implemented in a 0.8.mu.m CMOS technology using COMPASS Tool.

• 한국정보전자통신기술학회논문지
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• 제7권1호
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• pp.61-67
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• 2014

Motion segmentation is a fundamental technique for analysing image sequences of real scenes. A process of identifying moving objects from data is a typical task in many computer vision applications. In this paper, we propose motion segmentation that generally consists from background subtraction and foreground pixel segmentation. The Approximated Median Filter(AMF) was chosen to perform background modeling. Motion segmentation in this paper covers RGB video data.

• 전기학회논문지P
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• 제52권3호
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• pp.113-120
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• 2003

Plasma display panels normally utilize the binary coded light emission scheme for gray scale expression. Subsequently, this expression method makes dynamic false contours. We propose the "E3DSM(enhanced 3-dimension scattering method)" that improved existing 3-d scattering method and the "HAM(histogram analysis method)" that is decided the driving schemes and subfield selections with histograms of images. Simulation results show the improving image quality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1167-1187
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• 2020

With the development of medical imaging technology, image registration has been widely used in the field of disease diagnosis. The registration between different modal images of brain magnetic resonance (MR) is particularly important for the diagnosis of brain diseases. However, previous registration methods don't take advantage of the prior knowledge of bilateral brain symmetry. Moreover, the difference in gray scale information of different modal images increases the difficulty of registration. In this paper, a multimodal medical image registration method based on image segmentation and symmetric self-similarity is proposed. This method uses modal independent self-similar information and modal consistency information to register images. More particularly, we propose two novel symmetric self-similarity constraint operators to constrain the segmented medical images and convert each modal medical image into a unified modal for multimodal image registration. The experimental results show that the proposed method can effectively reduce the error rate of brain MR multimodal medical image registration with rotation and translation transformations (average 0.43mm and 0.60mm) respectively, whose accuracy is better compared to state-of-the-art image registration methods.