• Title/Summary/Keyword: Image property

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Bridge Displacement Measurement System Using Image Processing (영상처리를 이용한 비접촉식 교량변위 측정 시스템)

  • Lee, Jong-Wun;Oh, Ju-Sung;Kwon, Soon-Deuk;Kwok, Jong-Won
    • Proceedings of the KIEE Conference
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    • 2005.05a
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    • pp.284-296
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    • 2005
  • Bridge displacement measurement system using image processing is developed to overcome the contact type system inefficiencies such as heavy, expensive property and temporary construction necessity. The system is composed of tablet PC with IEEE1394 digital camera, telescope lens and a designed target mark. The key is projection algorithm where all pixels are added up for each row(column) to find out the center line. The experimental results are shown compared with a contact type system.

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High-speed Image Processing for Blurred Image for an Object Detection (블러가 심한 물체 검출을 위한 고속 MMX 영상처리)

  • Lee, Jae-Hyeok
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.177-179
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    • 2005
  • This paper suggests a high-speed blurred blob image inspection algorithm. When we inspect some products using high-resolution camera, the detected blob images usually have severe blur. And the blur makes it hard to detect an object. There are many blur-processing algorithms, but most of them have no real-time property for high-speed applications at all. In this paper, an MMX technology based algorithm is suggested. The suggested algorithm was found to be effective to detect the blurred blob images via many simulations and long time real-plant experiments.

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Zerotree coding with local adaptive threshold (국부 적응 문턱값을 가지는 제로트리 부호화)

  • 엄일규;김유신;김재호
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.10
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    • pp.112-119
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    • 1997
  • Zerotreeimage coding is known as a simple and effective image comprssion algorithm. It has the property that the compression is generated in order of improtance. Conventionally, a fixed threshold is applied to the entire wavelet coefficients regardless of frequency and local features of an image. In this paper, we propose a new zerotree coding scheme with adaptive threshold. The adaptive threshold is determined by human visual characteristics. It is shown that the image quality of the proposed method is better than that of the conventional method.

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Wavelet Transform Image Compression Using Shuffling and Correlation (Shuffling 및 상관도를 이용한 웨이블릿 영상 압축)

  • 김승종;민병석;정제창
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.609-612
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    • 1999
  • In this paper, we propose wavelet transform image compression method such that an image is decomposed into multiresolutions using biorthogonal wavelet transform with linear phase response property and decomposed subbands are classified by maximum classification gain. The classified data is quantized by allocating bits in accordance with classified class informations within subbands through arbitrary set bit allocation algorithm. And then, quantized data in each subband are entropy coded. The proposed coding method is that the quantized data perform shuffling before entropy coding in order to remove sign bit plane. And the context is assigned by maximum correlation direction for bit plane coding.

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Rotter estimation of ″sum-of-squres″ to improve the reconstructed image quality in Sensitivity Encoding (SENSE)

  • Yun, Sung-Dae;Song, Myung-Sung;Chung, Jun-Young;Park, Hyun-Wook
    • Proceedings of the KSMRM Conference
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    • 2003.10a
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    • pp.72-72
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    • 2003
  • In SENSE, division process is used in order to get a raw sensitivity map. This process requires denominator which is estimated by "sum-of-squres". However, this image does not have uniformbrightness because of the non-symmetrical property of RF coil arrays. Thus, this study is focused on better estimation of the denominator image.

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Research and Development of Document Recognition System for Utilizing Image Data (이미지데이터 활용을 위한 문서인식시스템 연구 및 개발)

  • Kwag, Hee-Kue
    • The KIPS Transactions:PartB
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    • v.17B no.2
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    • pp.125-138
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    • 2010
  • The purpose of this research is to enhance document recognition system which is essential for developing full-text retrieval system of the document image data stored in the digital library of a public institution. To achieve this purpose, the main tasks of this research are: 1) analyzing the document image data and then developing its image preprocessing technology and document structure analysis one, 2) building its specialized knowledge base consisting of document layout and property, character model and word dictionary, respectively. In addition, developing the management tool of this knowledge base, the document recognition system is able to handle the various types of the document image data. Currently, we developed the prototype system of document recognition which is combined with the specialized knowledge base and the library of document structure analysis, respectively, adapted for the document image data housed in National Archives of Korea. With the results of this research, we plan to build up the test-bed and estimate the performance of document recognition system to maximize the utilization of full-text retrieval system.

Physical Colorimetric Properties and Psychological Sensibility Factor of Naturally Dyed Fabrics (천연염색직물의 물리적 색채 특성과 심리적 감성 요인)

  • Lee, Eu-Gene;Lee, Kyung-hyun;Cho, Gil-Soo
    • Science of Emotion and Sensibility
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    • v.19 no.3
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    • pp.3-14
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    • 2016
  • This study is aimed to measure the physical colorimetric property according to three conditions, natural dyestuffs (Gardenia, Sappan wood, Lac, Gardenia blue, Mugwort, and Indigo), fabric types (cotton, silk), and presence of mordant (without, with), and then to evaluate the psychological sensibility. Also, to perform analysis of variance (ANOVA) to find out the differences of physical properties according to the three natural dyeing conditions, and to analyze the relationship between physical property and psychological property by Pearson's correlation analysis and then suggest the prediction model by regression analysis using SPSS program (ver. 21.0). Finally, to propose a certain sensibility image map of naturally dyed fabrics, MDS (Multidimensional Scaling) was used, and as a result, Gardenia dyed fabrics having the color sensibilities such as 'hard' and 'heavy' were suggested to evoke masculine image, and to evoke feminine image, Sappan wood and Lac having 'bright', 'transparent', 'soft' and 'light' sensibilities were suggested. Natural image might be induced by using 'subdued' Mugwort dyed fabrics, and active image might be induced by using 'showy' Indigo dyed fabric.

A Study on the Effect of Brand Familiarity and Brand image on Intending Purchase and Revisiting by Coupon Property. -Focused on Chicken Speciality Store- (쿠폰특성에 따른 브랜드 친숙도와 브랜드 이미지가 구매 의도와 재 방문 의도에 관한 연구 - 국내 치킨 산업을 중심으로 -)

  • Shin, Gun-Chu;Jang, Jae-Nam
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.1
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    • pp.295-306
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    • 2010
  • The company have get the most out of coupon that is very useful to draw on consumer with sensitive the price, low the br loyalty to induct the direct buying intention. The effect of the coupon is a hard fact to an aid of working out successful strategy by the results that many scholar studied for long time. But the results of research was centered upon examining to influence br image company's sales, gains for guessing exchange action of coupon. Antecedent researches of our country is a lot of coupon combination discount card for drawing on revisiting making new consumer. The purpose of the study is to identify how to influence br familiarity br image into intending purchase revisiting by coupon property. In this study, collage man, worker located in Seoul Kyunggi province were sampled by convenience sampling. As a result, Br familiarity br image affect affirmatively intending purchase revisiting by coupon property.

The Progressive Image Coding using Wavelet Transform (웨이브렛 변환을 이용한 점진적 영상 부호화)

  • 황도연;박정호;유강수;곽훈성
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.73-76
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    • 2001
  • We propose a new method for image coding that it is based on highly related property between a spatial image and wavelet transform image. The characteristics have an important role in the design of proposed algorithm. This algorithm for image coding is to obtain high compression rate at low bit rate. The other side, the high activity regions are related to significant coefficients which give much influence to image reconstruction, because they mean the important factor to represent the appearance of images such as edge or boundary. For some images with low activity, we can obtain the reconstructed image with near to 30 dB at 150: 1 compression ratio.

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A Color Image Watermarking Method for Embedding Audio Signal

  • Kim Sang Jin;Kim Chung Hwa
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.631-635
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    • 2004
  • The rapid development of digital media and communication network urgently brings about the need of data certification technology to protect IPR (Intellectual property right). This paper proposed a new watermarking method for embedding contents owner's audio signal in order to protect color image IPR. Since this method evolves the existing static model and embeds audio signal of big data, it has the advantage of restoring signal transformed due to attacks. Three basic stages of watermarking include: 1) Encode analogue ID owner's audio signal using PCM and create new 3D audio watermark; 2) Interleave 3D audio watermark by linear bit expansion and 3) Transform Y signal of color image into wavelet and embed interleaved audio watermark in the low frequency band on the transform domain. The results demonstrated that the audio signal embedding in color image proposed in this paper enhanced robustness against lossy JPEG compression, standard image compression and image cropping and rotation which remove a part of image.

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