• Title/Summary/Keyword: 컬러영상분할

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Image Segmentation of Teeth Region by Color Image Analysis (컬러 영상 분할 기법을 활용한 치아 영역 자동 검출)

  • Lee, Seong-Taek;Kim, Kyeong-Seop;Yoon, Tae-Ho;Kim, Kee-Deog;Park, Won-Se
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.6
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    • pp.1207-1214
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    • 2009
  • In this study, we propose a novel color-image segmentation algorithm to discern the teeth region utilizing RG intensity and its relevant RGB histogram features with resolving the variations of its maximum intensity in terms of peaks and valleys. Tooth candidates in a CCD image are first extracted by applying RGB color multi-threshold levels and consequently the successive morphological image operations and a Sobel-mask edge processing are performed to resolve the teeth region and its contour.

Color Image Segmentation by statistical approach (확률적 방법을 통한 컬러 영상 분할)

  • Gang Seon-Do;Yu Heon-U;Jang Dong-Sik
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.05a
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    • pp.1677-1683
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    • 2006
  • Color image segmentation is useful for fast retrieval in large image database. For that purpose, new image segmentation technique based on the probability of pixel distribution in the image is proposed. Color image is first divided into R, G, and B channel images. Then, pixel distribution from each of channel image is extracted to select to which it is similar among the well known probabilistic distribution function-Weibull, Exponential, Beta, Gamma, Normal, and Uniform. We use sum of least square error to measure of the quality how well an image is fitted to distribution. That P.d.f has minimum score in relation to sum of square error is chosen. Next, each image is quantized into 4 gray levels by applying thresholds to the c.d.f of the selected distribution of each channel. Finally, three quantized images are combined into one color image to obtain final segmentation result. To show the validity of the proposed method, experiments on some images are performed.

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Adaptive threshold-based Skin segmentation and hand tracking for gesture recognition (제스처 인식을 위한 적응적 임계값 기반의 피부영역 분할 기법 및 추적)

  • Chae, Seung-Ho;Seo, Jong-Hoon;Han, Tack-Don
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.424-426
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    • 2012
  • 본 논문에서는 컬러영상 기반에서 배경과 잡음에 강인한 적응적 임계값 기반의 피부영역 기법을 제안하고 이를 활용한 응용프로그램을 제안한다. 배경과 전경을 분리시키는 코드북 알고리즘을 사용하여 배경을 제거하고, 분리된 영역에서 매 프레임 임계값과 모션에 따른 화소값을 검사하여 피부영역의 임계값을 갱신한다. 결과적으로 조명과 배경에 강인한 피부 영역 검출이 가능하며 이를 응용하여 사용자 인터페이스에 적용이 가능하다.

News Video Browser (뉴스 비디오 브라우저)

  • Shin, Seong-Yoon;Kang, Oh-Hyung;Kim, Hyung-Jin;Jang, Dai-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.336-337
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    • 2021
  • In this paper, we propose a video browsing service that provides both video content search and video browsing through a real-time user interface on the web. We propose an efficient scene change detection method that combines an RGB color histogram and a 𝛘2 histogram for scene segmentation and key frame extraction of image sequences.

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The YIQ Model of Computed Tomography Color Image Variable Block with Fractal Image Coding (전산화단층촬영 칼라영상의 YIQ모델을 가변블록 이용한 프랙탈 영상 부호화)

  • Park, Jae-Hong;Park, Cheol-Woo
    • Journal of the Korean Society of Radiology
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    • v.10 no.4
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    • pp.263-270
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    • 2016
  • This paper suggests techniques to enhance coding time which is a problem in traditional fractal compression and to improve fidelity of reconstructed images by determining fractal coefficient through adaptive selection of block approximation formula. First, to reduce coding time, we construct a linear list of domain blocks of which characteristics is given by their luminance and variance and then we control block searching time according to the first permissible threshold value. Next, when employing three-level block partition, if a range block of minimum partition level cannot find a domain block which has a satisfying approximation error, There applied to 24-bpp color image compression and image techniques. The result did not occur a loss in the image quality of the image when using the encoding method, such as almost to the color in the YIQ image compression rate and image quality, such as RGB images and showed good.

Development of a Korean Adult Female Voxel Phantom, VKH-Woman, Based on Serially Sectioned Color Slice Images (고해상도 연속절단면 컬러해부영상을 이용한 한국인 성인여성 복셀팬텀 VKH-Woman 개발)

  • Jeong, Jong Hwi;Yeom, Yoen Soo;Han, Min Cheol;Kim, Chan Hyeong;Ham, Bo Kyoung;Hwang, Sung Bae;Kim, Seong Hoon;Lee, Dong-Myung
    • Progress in Medical Physics
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    • v.23 no.3
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    • pp.199-208
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    • 2012
  • The computational human phantom including major radiation sensitive organs at risk (OARs) can be used in the field of radiotherapy, such as the variation of secondary cancer risks caused by the radiation therapy and the effective dose evaluation in diagnostic radiology. The present study developed a Korean adult female voxel phantom, VKH-Woman, based on serially sectioned color slice images of Korean female cadaver. The height and weight of the developed female voxel phantom are 160 cm and 52.72 kg, respectively that are virtually close to those of reference Korean female (161 cm and 54 kg). The female phantom consists of a total of 39 organs, including 27 organs recommended in the ICRP 103 publication for the effective dose calculations. The female phantom composes of $261{\times}109{\times}825$ voxels (=23,470,425 voxels) and the voxel resolution is $1.976{\times}1.976{\times}2.0619mm^3$ in the x, y, and z directions. The VHK-Woman is provided as both ASCII and Binary data formats to be conveniently implemented in Monte Carlo codes.

A Flexible Protection Technique of an Object Region Using Image Blurring (영상 블러링을 사용한 물체 영역의 유연한 보호 기법)

  • Jang, Seok-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.84-90
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    • 2020
  • As the uploading and downloading of data through the Internet is becoming more common, data including personal information are easily exposed to unauthorized users. In this study, we detect a target area in images that contain personal information, except for the background, and we protect the detected target area by using a blocking method suitable for the surrounding situation. In this method, only the target area from color image input containing personal information is segmented based on skin color. Subsequently, blurring of the corresponding area is performed in multiple stages based on the surrounding situation to effectively block the detected area, thereby protecting the personal information from being exposed. Experimental results show that the proposed method blocks the object region containing personal information 2.3% more accurately than an existing method. The proposed method is expected to be utilized in fields related to image processing, such as video security, target surveillance, and object covering.

Fuzzy Decision based on Motion Characteristics (동작특징에 대한 퍼지추론)

  • 박세진;김경수;최형일
    • Journal of the Korean Institute of Intelligent Systems
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    • v.7 no.4
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    • pp.9-17
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    • 1997
  • This paper describes a monitoring system that examines water quality by analyzing behavioral patterns of fishes. The water quality inspection system (WQIS) captures color images of fishes with a CCD camera, extracts out fish regions from the images, and determines motion characteristics of fishes by computing consecutive frames. We define five types of measures that reflect behavioral patterns of fishes : floatness, fledness, clustemess, diffusiveness, and mobility. These measures are utilized when the system performs fuzzy inference to induce the conclusion about water quality. We believe that the proposed system can be a solution for securing clean water.

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Number Region Extraction of License Plates Using Colors and Arrangement of Numbers (색상과 배치 정보를 이용한 번호판 숫자 영역 추출)

  • Oh, Bok-Jin;Choi, Doo-Hyun
    • Journal of Korea Multimedia Society
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    • v.14 no.9
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    • pp.1117-1124
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    • 2011
  • This paper proposes a plate number extraction method which uses the information of both the colors and the arrangement of numbers in a vehicle image with complex background. In a number plate, color of the numbers is usually black or white, and numbers are arranged in a row. At first, a raw image is partitioned into the plate number candidate regions and non-interest region. The number candidate regions are thresholded in mean binarization. After eliminating the illegal candidate regions using the aspect ratio of the plate number, the plate number region is finally extracted by using the arrangement information among the numbers. To evaluate the proposed mothed, 292 images are taken in various places and at different times. The experimental results show that the rate of the proposed number regions extraction is about 89.8%, 95.5% for the plate of green and white backgrounds, respectively.

Multiple Description Coding of 3-D Data (3차원 데이터의 다중 부호화 기법)

  • Park, Sung-Bum;Kim, Chang-Su;Lee, Sang-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.9C
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    • pp.840-848
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    • 2007
  • A multiple description coding (MDC) scheme for 3-D Data is presented. First, a plane-based 3-D data is split into two descriptions, each of which has identical contribution in 3-D surface reconstruction. In order to maximize the visual quality of reconstructed 3-D data, then, plane parameters are modified according to channel error condition. Finally, these descriptions are compressed and transmitted over distinct channels. In decoder, if two descriptions are available, we reconstruct a high quality 3-D data. If only one description is transmitted, however, 3-D surface recovery scheme reduces artifacts on erroneous 3-D surface, yielding a smooth 3-D surface. Therefore, the proposed algorithm guarantees acceptable quality reconstruction of 3-D data even though one channel is totally lost.