• Title/Summary/Keyword: color images

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Face Detection Algorithm Using Pulse-Coupled Neural Network in Color Images (컬러영상에서 Pulse-Coupled Neural Network를 이용한 얼굴 추출 알고리즘)

  • 임영완;나진희;최진영
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.292-296
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    • 2004
  • 본 논문에서는 컬러영상에서 Pulse-Coupled Neural Network를 이용한 얼굴 추출 알고리즘의 성능을 향상시키는 방법에 대하여 논의하였다. 색상정보를 이용한 얼굴 추출 알고리즘은 얼굴의 기울어진 정도나 크기 둥에 영향을 받지 않으므로, 형태정보를 이용한 얼굴 추출 알고리즘에 비해 비교우위를 가진다. 그러나 조명의 변화가 심하거나, 피부색과 유사한 배경이 포함되어 있을 경우 적절한 성능을 내기 어렵다. 이러한 문제점들을 해결하기 위해 본 연구에서는 넓은 피부색 영역을 추출하고, Pulse-Coupled Neural Network를 통해 공간적으로 근접한 피부색 동종영역을 분리해 내는 방법을 사용하였다. 그리고 피부색 영역에 해당하는 픽셀들이 다른 영역들에 비해 큰 값을 갖도록 하여, Pulse-Coupled Neural Network의 linking coefficient를 보다 쉽게 결정하도록 하였다.

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Luminance Change Independent 3D Snail Tracking

  • Dewi, Primastuti;Choi, Yoen-Seok;Chon, Tae-Soo;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.175-178
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    • 2010
  • Slow movement of snail can be a benefit since it means less speed of tracking is required to get accurate movement track, but in the other side it is difficult to extract the object because the snail is almost as static as the background. In this paper, we present a technique to track the snail by using one of its common characteristic, dark color of its shell. The technique needs to be robust to illumination change since the experiment is usually to observe the movement of snail both at bright and dim condition. Snail position coordinate in 3D space is calculated using orthogonal stereo vision which combines the information from two images taken from cameras at the top and in front of the aquarium. Experimental results show this technique does not need prior background image extraction and robust to gradual or sudden illumination change.

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Line-flash appearance in PM OLED and Frame part method

  • Lee, Gil-Jae;Jeong, Je-Chang
    • 한국정보디스플레이학회:학술대회논문집
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    • 2006.08a
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    • pp.1255-1258
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    • 2006
  • PM OLED has the line-disturbance when eyes can detect the driving line status in the shaking situation. It is closely related with the lighting intensity and the lighting time during the line driving. .In this paper we suggest the frame part method for eliminating lineflash appearance. Frame part is a driving method of PM OLED, which divides one frame into several inner-frame parts to reduce the color interference between closely related pixels and to lessen the lineflash appearance which disturbs viewer to perceive the images. Frame part groups one frame into several inner-frame parts and have inner-frame rate higher than the frame rate. Frame part could be used in most of applications in PM OLED systems to enhance the total performance of screen quality.

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A Study on the Peg-in-hole of chamferless Parts using Force/Moment/Vision Sensor (힘/모멘트/비전센서를 사용한 챔퍼가 없는 부품의 삽입작업에 관한 연구)

  • Back, Seung-Hyop;Lim, Dong-Jin
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.119-122
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    • 2001
  • This paper discusses the peg-in-hole task of chamferless parts using force/moment/vision sensors. The directional error occurring during the task are categorized into two cases according to the degree of initial errors, And different Mechanical analysis has been accomplished for each cases. This paper proposes an algorithm which enables to reduce intial directional error using digital Images acquired from hand-eyed vision sensor, And to continue the task even with the large directional error by adjusting the error using digital image processing. The effectiveness of the algorithm has been demonstrated through experimentation using 5-axis robot equipped with a developed controller force/moment sensor and color digital camera on its hand.

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Study on Effective Lane Detection Using Hough Transform and Lane Model (허프변환과 차선모델을 이용한 효과적인 차선검출에 관한 연구)

  • Kim, Gi-Seok;Lee, Jin-Wook;Cho, Jae-Soo
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.34-36
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    • 2009
  • This paper proposes an effective lane detection algorithm using hugh transform and lane model. The proposed lane detection algorithm includes two major components, i.e., lane marks segmentation and an exact lane extraction using a novel postprocessing technique. The first step is to segment lane marks from background images using HSV color model. Then, a novel postprocessing is used to detect an exact lane using Hugh transform and lane models(linear and curved lane models). The postprocessing consists of three parts, i.e, thinning process, Hugh Transform and filtering process. We divide input image into three regions of interests(ROIs). Based on lane curve function(LCF), we can detect an exact lane from various extracted lane lines. The lane models(linear and curved lane mode]) are used in order to judge whether each lane segment is fit or not in each ROIs. Experimental results show that the proposed scheme is very effective in lane detection.

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Terrain Cover Classification Using Wavelet Features and Neural Networks (웨이브릿 특징과 신경망을 이용한 지형분류)

  • Sung, Gi-Yeul;Kwak, Dong-Min;Kim, Do-Jong;Lyou, Joon
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.853-854
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    • 2008
  • The terrain perception technology using passive sensors plays a key role to enhance autonomous mobility for UGV. We present an effective method to classify terrain covers based on the color information. Considering a real-time implementation, neural network is applied for the terrain classifier and wavelet features extracted from the images are used. Test results show that the proposed algorithm has a promising classification performance.

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A Framework for Cognitive Agents

  • Petitt, Joshua D.;Braunl, Thomas
    • International Journal of Control, Automation, and Systems
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    • v.1 no.2
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    • pp.229-235
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    • 2003
  • We designed a family of completely autonomous mobile robots with local intelligence. Each robot has a number of on-board sensors, including vision, and does not rely on global positioning systems The on-board embedded controller is sufficient to analyze several low-resolution color images per second. This enables our robots to perform several complex tasks such as navigation, map generation, or providing intelligent group behavior. Not being limited to playing the game of soccer and being completely autonomous, we are also looking at a number of other interesting scenarios. The robots can communicate with each other, e.g. for exchanging positions, information about objects or just the local states they are currently in (e.g. sharing their current objectives with other robots in the group). We are particularly interested in the differences between a behavior-based approach versus a traditional control algorithm at this still very low level of action.

Measurement of Face Region Size in Motion Picture (동영상에서 블록화된 차영상 기반의 얼굴 영역 크기 측정 기법)

  • 장희준;고혜선;최영우;한헌수
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.313-316
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    • 2003
  • This paper proposes a new measurement method of face region size for real-time serveillance systems. The proposed method consists of three steps. In the first step, it detects global face area based on the block-based difference images. In the second step, it measures the face region size using face color information. In the third step, it estimates the face position in the next input image using the trajectory of face regions. The experimental results have shown that the proposed algorithm measures the face size within 20% relative error on average, which is a]towable for most surveillance systems.

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Study on the Measurement Technology of Fluid Film Thickness with Nanometer Scale by Dichromatic Incident Light (Dichromatic 투사광선에 따른 나노 미터 해상도의 점접촉 유막 두께 측정 연구)

  • 공현상;장시열
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.686-689
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    • 2003
  • Many technologies are applied to the measurement of elastohydrodynamic lubrication (EHL) film thickness. In particular, optical in-situ interferometric method has many advantages in making the actual contact behaviors realized with the experimental apparatus. Careful selection of incident lights greatly enhances the fringe resolution up to nanometer scale by using image processing technology. In this work, it is found that dichromatic incident light can provide much finer resolution of EHL film thickness than monochromatic incident light, because it has much more variables of color components to be discriminated among the wavelengths of colors according the variations of EHL film thickness. Some simulated interferometric images are shown how the film thickness is resolutionized in nanometer scale

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Dissection for rat hippocampus using high-definition stereoscopic microscope system (HD급 입체현미경시스템을 이용한 해마세포 적출)

  • Im, Yeong-Tae;Kim, Nam;Lee, Chan-Su;Lee, Gwon-Yeon
    • Proceedings of the Optical Society of Korea Conference
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    • 2007.07a
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    • pp.367-368
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    • 2007
  • Dissection of rat hippocampus using high-definition stereoscopic microscope system is demonstrated. Many surgical operation or animal anatomies are anatomized with stereoscopic microscope. With stereoscopic microscope system, the environments of operation is important factor to dissector. Lights, resolution of acquired stereo images, reflected on the liquid, colors and eye fatigue are fatal factors to dissector. We reduced reflections with two incident angle of lights at 45 degree and used a complementary color at the basement and reform the stereoscopic microsystem. Dissector has felt more comfortable after compensation and operation time is more continuous.

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