• Title/Summary/Keyword: Image Transformation

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Application of RTI to Improve Image Clarity of a Trace Fossil Cochlichnus Found from the Jinju and Haman Formations

  • Sangho Won;Dal-Yong Kong
    • Economic and Environmental Geology
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    • v.56 no.4
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    • pp.397-408
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    • 2023
  • A total of 64 specimens of trace fossils were collected from the Jinju Formation of the construction site of Jinju Aviation Industrial Complex, and from the Haman Formation of Namhae Gain-ri fossil site. The fossils are continuously and regularly meandering sine-curve in shape. The fossil varies in morphology: width between 0.2 and 5.6 mm, wavelength between 1.5 and 28 mm, and amplitude between 0.9 and 7.9 mm; the Jinju specimens are commonly wider than the Haman ones. The ratio of wavelength to amplitude is more or less regular regardless of width of the specimen, and the linear correlation of the ratios shows that the Jinju specimens fit better than the Haman specimens. Taking all morphometric parameters, specimens in all size ranges are temporarily identified as ichnospecies Cochlichnus anguineus. In order to obtain more distinct and clearer images of Cochlichnus, we selected two specimens and applied a new imaging technology RTI. For photography of the trace fossils, 50 to 80 images were taken per set with photometric lighting close to the surface and horizontally. RTI technology clearly showed that the images of tiny fossils were improved: the surface contrast become sharper and messy and unnecessary information disappeared. Currently, RTI technology is used in many fields including preservation of cultural properties and archaeology. As a consequence, we hope to apply this technique to the field of paleontology, especially to the study of trace fossils of very small size.

A study of using physical body in Contemporary Painting (현대회화에서 신체성의 활용에 관한 연구)

  • Park Ki-Woong
    • Journal of Science of Art and Design
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    • v.6
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    • pp.140-202
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    • 2004
  • Body means 1)the whole structure and substance of a man, animal, or plant 2) the trunk or torso of a man or animal 3) part of garment that covers the trunk 4) the fresh or material substance, as opposed to the spirit. Human body could be distinguished as fresh and spirit. Body has the meaning of physicality. Physical means the bodily and constitution, but in the meaning of constitution there is the content of spirituality. Physicality means the appearing or arising of trace or image or nuance of body. The paintings which are using bodies are 1) directly draw bodies 2) twisting or transformation or nuance of the body and highly upgrade the physical emotion or fantastic bodily nuance 3) directly rubbing artist's body on the surface of painting with pigments to elect tactile specification. These physical art have appeared broadly by various artists, mainly with the social aspects of sex, drug, psycho sexual issues. In case of Joel peter Whitkin, the reason of strong physicality in the art is from the mind of the rejection and resistance of real world which is targeting top, perfect and beauty. Further explanation, being the world which is separated top and under, men and women, beauty and ugly; further in the situation, the hierarchy, terror and pressure began and many difficult problems has derived. The contents of attacking feminists's art works are very obscene to reveal female and male's phallus strongly. Sometime, it is strongly related in the political issues. The physical paintings have strong meanings in the action by hands and feet. It supports that it could reveal the humanity with smell, breath, and traces of bodies. In the bodies, the origin of life begins which gives human life by blood lines and water. Sometime, the physical paintings are made by the blood and urine to stick the physicality for special nuance. The physical paintings are made by the image of penis and clitoris which are related in the image of urinating, ejaculation and sometime is symbolized as pens and candles to drop liquid. The selected painters who are related in physical painting are Jackson Pollock, Andrea Serano, Eve Klein, Francis Bacon, Francesco Clemente, Lichard Long, Jakes & Dinos Chapman, Anselm Kiefer, Kiki Smith and Park, Ki Woong. Francis Bacon's style is destructive in representing human shapes which give us special message about the unbearable activity of men politician, high brain, wealthy and religious people. Francesco Clemente's method is to use throat, ear hole, mouse, clitoris, belly nostrils and every holes of body to transmute human physical body. Lichard Long uses directly his body in drawing the surface of painting by using liquid of mud Jakes & Dinos Chapman destroys or transforms the bodies of human. It sometime appears wrong location of the bodies that the penis and vulva is in between human faces or nose of women, Anselm Kiefer uses human hair for representing the human decaying martyrs, and indirectly using straw, he gives special ritual action to repent the Nazi's fault. From 2002 to 2003, Park KI Woong used women womb images to intermingle the smoke shape of <9.11 terror, 2001> in New York to reveal the painful situation of the time(*).

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Rate of Transformation and Normal Range about Cardiac Size and Cardiothoracic Ratio According to Patient Position and Age at Chest Radiography of Korean Adult Man (한국인 성인 남성의 흉부 방사선영상에서 자세와 연령에 따른 심장 크기 및 심흉비의 정상 범위와 변환율)

  • Joo, Young-Cheol;Lim, Cheong-Hwan;Kim, Yun-Min;Jung, Hong-Ryang;Hong, Dong-Hee
    • Journal of radiological science and technology
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    • v.40 no.2
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    • pp.179-186
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    • 2017
  • Purpose of this study is present the normal range of cardiac size and cardiothoracic ratio according to patient position(chest PA and AP) and age of Korean adult male on digital chest X - ray, And to propose a mutually compatible conversion rate. 1,024 males were eligible for this study, among 1,300 normal chest patients who underwent chest PA and low-dose CT examinations on the same day at the 'S' Hospital Health Examination Center in Seoul From January to December 2014. CS and CTR were measured by Danzer (1919). The mean difference between CS and CTR was statistically significant (p<0.01) in Chest PA (CS 135.48 mm, CTR 43.99%) and Chest AP image (CS 155.96 mm, CTR 51.75%). There was no statistically significant difference between left and right heart in chest PA and AP images (p>0.05). CS showed statistically significant difference between Chest PA (p>0. 05) and Chest AP (p<0.05). The thorax size and CTR were statistically significant (p<0.01) in both age and chest PA and AP. Result of this study, On Chest AP image CS was magnified 15%, CTR was magnified 17% compare with Chest PA image. CS and CTR were about 10% difference by changing posture at all ages.

The Study on Spatial Classification of Riverine Environment using UAV Hyperspectral Image (UAV를 활용한 초분광 영상의 하천공간특성 분류 연구)

  • Kim, Young-Joo;Han, Hyeong-Jun;Kang, Joon-Gu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.10
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    • pp.633-639
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    • 2018
  • High-resolution images using remote sensing (RS) is importance to secure for spatial classification depending on the characteristics of the complex and various factors that make up the river environment. The purpose of this study is to evaluate the accuracy of the classification results and to suggest the possibility of applying the high resolution hyperspectral images obtained by using the drone to perform spatial classification. Hyperspectral images obtained from study area were reduced the dimensionality with PCA and MNF transformation to remove effects of noise. Spatial classification was performed by supervised classifications such as MLC(Maximum Likelihood Classification), SVM(Support Vector Machine) and SAM(Spectral Angle Mapping). In overall, the highest classification accuracy was showed when the MLC supervised classification was used by MNF transformed image. However, it was confirmed that the misclassification was mainly found in the boundary of some classes including water body and the shadowing area. The results of this study can be used as basic data for remote sensing using drone and hyperspectral sensor, and it is expected that it can be applied to a wider range of river environments through the development of additional algorithms.

Research to improve the performance of self localization of mobile robot utilizing video information of CCTV (CCTV 영상 정보를 활용한 이동 로봇의 자기 위치 추정 성능 향상을 위한 연구)

  • Park, Jong-Ho;Jeon, Young-Pil;Ryu, Ji-Hyoung;Yu, Dong-Hyun;Chong, Kil-To
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.12
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    • pp.6420-6426
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    • 2013
  • The indoor areas for the commercial use of automatic monitoring systems of mobile robot localization improves the cognitive abilities and the needs of the environment with this emerging and existing mobile robot localization, and object recognition methods commonly around its great sensor are leveraged. On the other hand, there is a difficulty with a problem-solving self-location estimation in indoor mobile robots using only the sensors of the robot. Therefore, in this paper, a self-position estimation method for an enhanced and effective mobile robot is proposed using a marker and CCTV video that is already installed in the building. In particular, after recognizing a square mobile robot and the object from the input image, and the vertices were confirmed, the feature points of the marker were found, and marker recognition was then performed. First, a self-position estimation of the mobile robot was performed according to the relationship of the image marker and a coordinate transformation was performed. In particular, the estimation was converted to an absolute coordinate value based on CCTV information, such as robots and obstacles. The study results can be used to make a convenient self-position estimation of the robot in the indoor areas to verify the self-position estimation method of the mobile robot. In addition, experimental operation was performed based on the actual robot system.

Autonomous Mobile Robot System Using Adaptive Spatial Coordinates Detection Scheme based on Stereo Camera (스테레오 카메라 기반의 적응적인 공간좌표 검출 기법을 이용한 자율 이동로봇 시스템)

  • Ko Jung-Hwan;Kim Sung-Il;Kim Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.1C
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    • pp.26-35
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    • 2006
  • In this paper, an automatic mobile robot system for a intelligent path planning using the detection scheme of the spatial coordinates based on stereo camera is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity map obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth information can be detected. Finally, based-on the analysis of these calculated coordinates, a mobile robot system is derived as a intelligent path planning and a estimation. From some experiments on robot driving with 240 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the distance between the mobile robot and the objects, and relative distance between the other objects is found to be very low value of $2.19\%$ and $1.52\%$ on average, respectably.

Analysis on Oh, hein-kuhn's Portrait Photograph (오형근 초상사진 분석)

  • Kim, Ji-Young
    • The Journal of the Korea Contents Association
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    • v.14 no.3
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    • pp.103-112
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    • 2014
  • Oh, hein-kuhn is a representative portrait photographer in Korea. His works, , , , which treated portraits of women are a bit different from those of the past that described the appearance of characters. The artist expressed the figure of inner side that conflicts and feels uneasy between 'family and society' and 'child and woman' along with the look of character. That is, he included specific aura which the whole of aunts and girls' group radiates by showing similar photos repeatedly, that we can be aware of 'aunt' and 'girl' by seeing them. The important technique of Oh, hein-kuhn's Portrait Photograph is 'repetition' of image. The artist delivers the meaning of the photo by looking at the character upright in the front and showing photos with similar frame repeatedly. Such form and content of the work as this might feel a bit boring, since it's very simple just like identification picture. However, the photos in the frames which do not move in the fixed position can deliver the meaning of work more clearly rather than the image which expresses flowing time and moving space, we can grasp the message that the artist intends to deliver rather quickly. In the environment of photograph production mainly with image transformation, Oh, hein-kuhn's works of authentic original work method definitely stand forth. Through the portraits of aunts and girls, the artist tells an aspect of our society and we reconfirm the reality through the portraits made by him.

Statistical Analysis of Projection-Based Face Recognition Algorithms (투사에 기초한 얼굴 인식 알고리즘들의 통계적 분석)

  • 문현준;백순화;전병민
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.5A
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    • pp.717-725
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    • 2000
  • Within the last several years, there has been a large number of algorithms developed for face recognition. The majority of these algorithms have been view- and projection-based algorithms. Our definition of projection is not restricted to projecting the image onto an orthogonal basis the definition is expansive and includes a general class of linear transformation of the image pixel values. The class includes correlation, principal component analysis, clustering, gray scale projection, and matching pursuit filters. In this paper, we perform a detailed analysis of this class of algorithms by evaluating them on the FERET database of facial images. In our experiments, a projection-based algorithms consists of three steps. The first step is done off-line and determines the new basis for the images. The bases is either set by the algorithm designer or is learned from a training set. The last two steps are on-line and perform the recognition. The second step projects an image onto the new basis and the third step recognizes a face in an with a nearest neighbor classifier. The classification is performed in the projection space. Most evaluation methods report algorithm performance on a single gallery. This does not fully capture algorithm performance. In our study, we construct set of independent galleries. This allows us to see how individual algorithm performance varies over different galleries. In addition, we report on the relative performance of the algorithms over the different galleries.

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A Study on Depth Data Extraction for Object Based on Camera Calibration of Known Patterns (기지 패턴의 카메라 Calibration에 기반한 물체의 깊이 데이터 추출에 관한 연구)

  • 조현우;서경호;김태효
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.173-176
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    • 2001
  • In this thesis, a new measurement system is implemented for depth data extraction based on the camera calibration of the known pattern. The relation between 3D world coordinate and 2D image coordinate is analyzed. A new camera calibration algorithm is established from the analysis and then, the internal variables and external variables of the CCD camera are obtained. Suppose that the measurement plane is horizontal plane, from the 2D plane equation and coordinate transformation equation the approximation values corresponding minimum values using Newton-Rabbson method is obtained and they are stored into the look-up table for real time processing . A slit laser light is projected onto the object, and a 2D image obtained on the x-z plane in the measurement system. A 3D shape image can be obtained as the 2D (x-z)images are continuously acquired, during the object is moving to the y direction. The 3D shape images are displayed on computer monitor by use of OpenGL software. In a measuremental result, we found that the resolution of pixels have $\pm$ 1% of error in depth data. It seems that the error components are due to the vibration of mechanic and optical system. We expect that the measurement system need some of mechanic stability and precision optical system in order to improve the system.

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Seam-line Determination in Image Mosaicking using Adaptive Cost Transform and Dynamic Programming (동적계획법과 적응 비용 변환을 이용한 영상 모자이크의 seam-line 결정)

  • Chon, Jae-Choon;Suh, Yong-Cheol;Kim, Hyong-Suk
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.2
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    • pp.16-28
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    • 2004
  • A seam-line determination algorithm is proposed to determine image border-line in mosaicing using the transformation of gray value differences and dynamic programming. Since visually good border-line is the one along which pixel differences are as small as possible, it can be determined in association with an optimal path finding algorithm. A well-known effective optimal path finding algorithm is the Dynamic Programming (DP). Direct application of the dynamic programming to the seam-line determination causes the distance effect, in which seam-line is affected by its length as well as the gray value difference. In this paper, an adaptive cost transform algorithm with which the distance effect is suppressed is proposed in order to utilize the dynamic programming on the transformed pixel difference space. Also, a figure of merit which is the summation of fixed number of the biggest pixel difference on the seam-line (SFBPD) is suggested as an evaluation measure of seamlines. The performance of the proposed algorithm has been tested in both quantitively and visually on various kinds of images.

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