• Title/Summary/Keyword: Image Representation

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Psychedelic Image expressed in costume (복식에 나타난 싸이키델릭 이미지)

  • 안선경;양숙희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.23 no.1
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    • pp.147-158
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    • 1999
  • This study focused on situational simularity of psychedelic expressed in the mid-1960s with culture including costume in the end of 20th century. So this study is composed of psychedelic concept and the comparision of temporal background and general characteristics of psychedelia in the 1960s and 1990s and relationship with Art-Nouveau which has originated psychedelia and psycheelic image including mysticism play illusionism and narcissism. The New psychedelic revival of the early 1980s came at a time when as in the mid-1960s the world's attentions were firmly focused on British youth. The same could be said of the mid-1990s when 'BriPop' once again has international appeal and the result has been a kind of New New Psychedelic revival with all manner of British youth styles from the 1960s blended together. The swirling patterns hallucinogenic colors and space-aged designs of the psychedelics have become a symbolic representation of cocktail of youth sex and optimism

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Classification of Alzheimer's Disease with Stacked Convolutional Autoencoder

  • Baydargil, Husnu Baris;Park, Jang Sik;Kang, Do Young
    • Journal of Korea Multimedia Society
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    • v.23 no.2
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    • pp.216-226
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    • 2020
  • In this paper, a stacked convolutional autoencoder model is proposed in order to classify Alzheimer's disease with high accuracy in PET/CT images. The proposed model makes use of the latent space representation - which is also called the bottleneck, of the encoder-decoder architecture: The input image is sent through the pipeline and the encoder part, using stacked convolutional filters, extracts the most useful information. This information is in the bottleneck, which then uses Softmax classification operation to classify between Alzheimer's disease, Mild Cognitive Impairment, and Normal Control. Using the data from Dong-A University, the model performs classification in detecting Alzheimer's disease up to 98.54% accuracy.

Development of Korean Fashion Design for the World Market (세계시장을 위한 한국적 패션디자인의 개발)

  • 공미선;채금석
    • Journal of the Korean Society of Costume
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    • v.54 no.2
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    • pp.1-9
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    • 2004
  • This research aims at the development of Korean fashion design for the world market, which combines the western beauty and Korean tradition into the product design focusing on the styling concept. Through the example-analysis of structural elements which form Europe and Korean fashions, the styling concepts of functional change, beauty-combination, and tradition-conservation. are derived. The results are as follows : 1. Functionality needs to be improved by the structural change and the development of new materials from the traditional materials. 2. Beauty should come from the combination of natural patterns and western-spatial allocation, as well as from the front combination of western-beauty. 3. Tradition needs to be kept as Korean beauty and representation skills in the colors, accessaries, and in the spatial design. The styling concept for Korean fashion design in this research is related to the visual structural elements, and is not expanded to the styling concept of Korean image and/or feeling. Therefore future researches may follow on these un-expanded points. and also may continue the wide comparison between the Korean fashion design and oriental image fashion in Europe.

Fast Object Recognition using Local Energy Propagation from Combination of Saline Line Groups (직선 조합의 에너지 전파를 이용한 고속 물체인식)

  • 강동중
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.311-311
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    • 2000
  • We propose a DP-based formulation for matching line patterns by defining a robust and stable geometric representation that is based on the conceptual organizations. Usually, the endpoint proximity and collinearity of image lines, as two main conceptual organization groups, are useful cues to match the model shape in the scene. As the endpoint proximity, we detect junctions from image lines. We then search for junction groups by using geometric constraint between the junctions. A junction chain similar to the model chain is searched in the scene, based on a local comparison. A Dynamic Programming-based search algorithm reduces the time complexity for the search of the model chain in the scene. Our system can find a reasonable matching, although there exist severely distorted objects in the scene. We demonstrate the feasibility of the DP-based matching method using both synthetic and real images.

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Virtual Holography - A Novel Three-dimensional Image Representation (가상 홀로그램 - 3차원 이미지의 새로운 표현 방법)

  • Kim, Myoung-Jun;Wang, Chi-Kuo-Gregory;Woo, Tony-C.
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.11a
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    • pp.79-85
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    • 1997
  • Virtual holography is a methodology of synthesizing apparent three-dimensional images from two-dimensional photographs. Since the input is photographic images of real objects, the degree of realism exceeds that offered by any computer-aided design software. The three-dimensional appearance is given in real-time by images from arbitrary viewing directions. If infinitely many photographs were taken and pasted together, virtual holography would have been trivial. But, the (infinite) storage requirement would prohibit such an attempt.

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New Conditions and Definition of Images in Digital Era (디지털시대 영상물의 새로운 조건과 정의)

  • Chang, Ji-Hun
    • Journal of Digital Convergence
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    • v.5 no.2
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    • pp.155-165
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    • 2007
  • The meaning of images are changed rapidly by a time, and the images' social function and skills are different by times. Nowadays, the reasons to have different meanings of images are the different ways of representation and reproduction of images by new digital technologies. However, the images are communicating with each other, and the image makers should have responsibility to represent the images. Also, the images should be concerned in social, cultural context, and focused on positive ways to represent. It is hard to predict the future of images, but people shouldn't be controled by manipulated digital images. Therefore, image makers need to have right ethics and morals in digital era not to be controled by commercial enterprises.

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MAXIMUM POWER ENTROPY METHOD FOR LOW CONTRAST IMAGES

  • CHAE JONG-CHUL;YUN HONG SIK
    • Journal of The Korean Astronomical Society
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    • v.27 no.2
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    • pp.191-201
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    • 1994
  • We propose to use the entropy of power spectra defined in the frequency domain for the deconvolution of extended images. Spatial correlations requisite for extended sources may be insured by increasing the role of power entropy because the power is just a representation of spatial correlations in the frequency domain. We have derived a semi-analytical solution which is found to severely reduce computing time compared with other iteration schemes. Even though the solution is very similar to the well-known Wiener filter, the regularizingng term in the new expression is so insensitive to the noise characteristics as to assure a stable solution. Applications have been made to the IRAS $60{\mu}m\;and\;100{\mu}m$ images of the dark cloud B34 and the optical CCD image of a solar active region containing a circular sunspot and a small pore.

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A Study on Image Pattern Recognition using Attributed Relational Graph (Attributed Relational Graph를 이용한 영상 패턴의 인식에 관한 연구)

  • Lee, Kwang-Kee;Jeon, Joong-Nam;Lee, Chang-Han;Lie, Han-Wook;Park, Kyu-Tae
    • Proceedings of the KIEE Conference
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    • 1988.07a
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    • pp.687-690
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    • 1988
  • Algorithms that represent given pattern in the form of an ARG (Attributed relational graph) using not only structural relations but also symbolic or numerical attributes, and then recognize that pattern by graph matching process are presented in this paper. Based on definitions of pattern deformational models, algorithms that can find GPECI(Graph preserved error correcting isomorphism). SGECI(subgraph ECI) and DSECI(Double subgraph ECI) are proposed and comparisons among these algorithms are described. To be useful in performig practical tasks, efficient schemes for extraction of ARG representation fron raw image are needed. In this study, given patterns are restricted within objects having distinct skeleton, and then the information which is necessary for recognition and analysis is successfully extracted.

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The study of New Compression method using Contourlet transform (Contourlet 변환을 이용한 새로운 압축방법에 대한 연구)

  • Chong, Hyun-Jin;Jang, Jun-Ho;Kim, Young-Seop
    • Journal of the Semiconductor & Display Technology
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    • v.6 no.3
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    • pp.55-59
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    • 2007
  • Wavelet Transform is amenable to efficient algorithms. So wavelet transform was adopted many signal processing and communication applications. For example, the wavelet transform was adopted as the transform for JPEG2000. However, Wavelet has weakness about smoothness along the contours and limited directional information. Hence, recently, some new transforms have been introduced to take advantage of this property. So we use to other transform, called contourlet transform in compression. In this paper, we propose a new method for image compression based on the contourlet transform, which has been recently introduced. Contourlet transform has a good result about images with smooth contours. Moreover, Contourlet is feasible multiresolution and multidirection expansion using non-separable filter bank. This treatise shows a good image representation after compressing using contourlet transform.

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Curve Fitting with Recursive Ball Curve (Ball 곡선을 이용한 Fitting 알고리즘)

  • Lee, A-Ri;Choe, Yeong-Geun
    • The KIPS Transactions:PartA
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    • v.8A no.1
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    • pp.42-47
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    • 2001
  • In this paper, we present a curve fitting algorithm using a ball curve. Our algorithm is recursive method for fitting, which is not a traditional ball function but a continuous ball function. This algorithm consists of two steps. The first step, it is classified the composite corner points to joint points until selected from the given data set. The second step is the curve fitting. The basis function for curve fitting is use to ball function. Also, the weighted least square method, to insert knot, is an efficient method for piecewise ball curve and ball curve segments will be smoothly connected at all composit points. The proposed algorithm will be applied to represent image representation, like fonts, digital image and GIS.

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