• Title/Summary/Keyword: 이미지상관기법

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IMAGING THE UPPER CRUST OF THE KOREAN PENINSULA BY SURFACE WAVE TOMOGRAPHY (표면파 토모그래피를 이용한 한반도 상부지각의 이미지)

  • Cho, Kwang-Hyun;Herrmann, Robert B.;Lee, Kie-Hwa
    • 한국지구물리탐사학회:학술대회논문집
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    • 2006.06a
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    • pp.41-50
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    • 2006
  • The crustal structure of Korean Peninsula have been investigated by analyzing group velocity dispersion data of surface wave. Cross.correlation of seismic background motions (Campillo and Paul, 2003; Shapiro et al., 2005) has been applied to estimate the short.period Rayleigh. and Love.wave group velocity dispersion characteristics of the region. Standard processing procedures were applied to the cross.correlation, except that signal whitening was used in place of one.bit sampling equalize power in signals from different times. Multiple.filter analysis was used to extract the group velocities from the estimate Green's functions, which were then use to image the spatially varying dispersion at periods between 0.5 and 20 seconds. The tomographic inversion technique used inverted all periods simultaneously to provide a smooth dispersion curve as a function of period in addition to the usual smooth spatial image for a given period. The Gyeongsang Basin in the southeastern part of the peninsula is clearly resolved with lower group velocities.

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Real-Time Shadow Generation using Image Warping (이미지 와핑을 이용한 실시간 그림자 생성 기법)

  • Kang, Byung-Kwon;Ihm, In-Sung
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.5
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    • pp.245-256
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    • 2002
  • Shadows are important elements in producing a realistic image. Generation of exact shapes and positions of shadows is essential in rendering since it provides users with visual cues on the scene. It is also very important to be able to create soft shadows resulted from area light sources since they increase the visual realism drastically. In spite of their importance. the existing shadow generation algorithms still have some problems in producing realistic shadows in real-time. While image-based rendering techniques can often be effective1y applied to real-time shadow generation, such techniques usually demand so large memory space for storing preprocessed shadow maps. An effective compression method can help in reducing memory requirement, only at the additional decoding costs. In this paper, we propose a new image-barred shadow generation method based on image warping. With this method, it is possible to generate realistic shadows using only small sizes of pre-generated shadow maps, and is easy to extend to soft shadow generation. Our method will be efficiently used for generating realistic scenes in many real-time applications such as 3D games and virtual reality systems.

Measuring meaning of korean adjectives and colors (감성 측정을 위한 우리말 형용사의 의미구조)

  • 박미자;신수길;한광희;황상민
    • Science of Emotion and Sensibility
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    • v.1 no.2
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    • pp.1-11
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    • 1998
  • 최근 감성연구의 한 측정 방법으로 의미변별 기법을 이용해 형용사를 제시하는 연구가 증가하고 있다. 본 연구는 의미변별 기법을 사용하는 감성 연구의 기초적인 연구로서 우리말 형용사의 전체적인 의미구조를 분석해 보았다. 우리말 형용사의 의미구조는 기존의 다른 언어권에서 얻은 연구결과와 거의 일치하는 것으로 나타났다. 전체 형용사의 의미구조는 다섯 요인으로 나타났으나, 기존 연구들과 마찬가지로 세 요인이 주요 요인으로 작용했다. 한편, 이러한 의미구조가 색채라는 특정 자극과 관련해서 나타나는 의미구조를 파악하기 위해 NCS단색과 형용사 쌍을 사용하여 측정하였다. 색채 이미지와 관련된 형용사의 의미구조도 세부적인 차이는 있으나, 첫 연구에서 발견된 결과와 크게 다르지 않았다. 감성의 표현수단으로서 어휘를 고려할 때, 이 결과는 사용하는 어휘가 다를지라도 기저에 있는 의미구조는 문화에 상관없이 보편적이라는 것을 제시한다. 다시 말해 어휘로 표현되는 감성의 기본구조가 공통적일 수 있음을 제시한다.

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Internal Void Structure of Strandboard using X-ray Computed Tomography (X-ray 단층촬영기법을 이용한 스트랜드보드의 내부공극구조에 관한 연구)

  • Oh, Sei Chang
    • Journal of the Korean Wood Science and Technology
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    • v.36 no.6
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    • pp.13-22
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    • 2008
  • Internal voids affecting the mechanical properties of wood composite were classified into two catagories and characteristics of voids were examined according to density variation of strandboard. The void distribution and content of strandboard according to board density were measured by X-ray computed tomography system and analized using image processing software. Prior to investigation, the densities of strandboard were measured by densitometer and the results were showed high correlation with conventional oven drying method. Based on the image analysis conducted on captured images by X-ray tomography, low resolution can be used to capture the macro-voids (between strand) but not the micro-voids (within strands). Intermediate resolution can be used to capture both the macro and the micro-voids and high resolution can be successfully used to capture the majority of the micro-voids. The content of macro-void was measured and content of micro-void was computed by corresponding related equation. The macro-void distribution can be successfully understood and void content can be correctly estimated through the results.

Method of Lossless Image Compression Using Hybrid Bitplane Coding (비트평면 혼합 코딩을 이용한 무손실 이미지 압축방법)

  • Moon, Young-Ho;Choi, Jong-Bum;Sim, Woo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.10C
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    • pp.961-967
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    • 2009
  • In this paper, the lossless compression method is proposed for an 8-bit bitplane of the input image. The lower bitplanes are not well compressed because of irregularity of pixels. To overcome these drawbacks, this paper propose a mixed coding method that using the block-based lossless compression and the bit-based losselss compression, introducing the H. 264 and the JBIG. First, to take advantage of the characteristics of the bitplanes, 8-bitplane against the top 4 bits and lower 4 bits were separated. Next, the JBIG compression method was used in separated top 4-bitplane because of a lot of correlation between bits. And a separated lower 4-bitplane was applied the improved method that using the H. 264 lossless prediction. A pre-processing method applied to the lower 4-bitplane then irregular distribution of pixel values are converted to regular. Using the proposed method to test for various test images were performed. Experimental results from a printer using 8-bit image compared to JBIG average 19%, lower 4bit image compression performance with an average of 11% could be obtained.

Secure Steganography Based on Triple-A Algorithm and Hangul-jamo (Triple-A 알고리즘과 한글자모를 기반한 안전한 스테가노그래피)

  • Ji, Seon-Su
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.5
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    • pp.507-513
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    • 2018
  • Steganography is a technique that uses hidden messages to prevent anyone apart from knowing the existence of a secret message, except the sender and trusted recipients. This paper applies 24 bit color image as cover medium. And a 24-bit color image has three components corresponding to red, green and blue. This paper proposes an image steganography method that uses Triple-A algorithm to hide the secret (Hangul) message by arbitrarily selecting the number of LSB bits and the color channel to be used. This paper divides the secret character into the chosung, jungsung and jongsung, and applies crossover, encryption and arbitrary insertion positions to enhance robustness and confidentiality. Experimental results of the proposed method show that insertion capacity and correlation are excellent and acceptable image quality level. Also, considering the image quality, it was confirmed that the size of LSB should be less than 2.

Estimation of Water Quality using Landsat 8 Images for Geum-river, Korea (Landsat 8 이미지영상을 이용한 영양염류농도 추정; 금강을 대상으로)

  • Lim, Jisang;Baik, Jongjin;Kim, Hyunglok;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.48 no.2
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    • pp.79-90
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    • 2015
  • In this study, the water quality parameters of Geum-river were estimated using Landsat 8 satellite image data which had launched in March 2013. The goal of this research is to predict HAB and to monitor spatial pattern of total nitrogen (TN) and total phosphorus (TP) because both TN and TP are the dominant factors of the growth of harmful algal blooms (HABs). To investigate the relationship between satellite band reflectance and in situ measurement value, Pearson' correlation coefficient analysis was used. The band2, 3, 4 and 5 reflectance values among 11 bands of Landsat 8 were used which was highly associated with detecting TN and TP. The 20 in situ data set with satellite's overpass time were identified. TN showed positive relation with band 2 (0.48), band3 (0.62), band4 (0.57) at a significance level of p<0.05. TP also showed high correlation for band2 (0.59), band3 (0.59), band4 (0.58) at a significance level of p<0.01. The optimal regression equation models were constructed for TN and TP based on multiple regression equations. The estimated concentration based on derived regression equations of TN and TP were compared with in situ measurement data. Finally, the spatial pattern of the two parameters was able be monitored through mapping on November 12, 2013 and April 21, 2014.

Digital Image Analysis (DIA) for Estimating the Degree of Saturation of The Soil-Water Characteristic Curves (SWCC) (SWCC의 포화도를 구하기 위한 DIA 적용)

  • Min, Tuk-Ki;Huy, Phan Thieu
    • Journal of the Korean Geotechnical Society
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    • v.24 no.3
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    • pp.53-63
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    • 2008
  • The aim of this study was to validate the suitability of an digital image analysis (DIA) method to measure the degree of saturation in the unsaturated conditions. This study was carried out on the Joo-Mun-Jin standard sand. A one-dimensional sand column test was used in the constant water level condition to get the correlation equation between the color number ($C_n$) and the measured degree of saturation (5). In addition, the hanging wale. column technique to determine the soil-water charactenstic curve (SWCC) was performed in a Buchner funnel. The average degree of saturation ($S_{ave}$) in the SWCC could be obtained by substituting average color number at each suction head value with the $C_n\;-\;S$ correlation equation. Comparisons were made between the measured results by the hanging water column test and those obtained from DIA method. Results showed that the DIA method tested here provided fairly good saturation distribution values in the drying and wetting processes.

Development of Deep Recognition of Similarity in Show Garden Design Based on Deep Learning (딥러닝을 활용한 전시 정원 디자인 유사성 인지 모형 연구)

  • Cho, Woo-Yun;Kwon, Jin-Wook
    • Journal of the Korean Institute of Landscape Architecture
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    • v.52 no.2
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    • pp.96-109
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    • 2024
  • The purpose of this study is to propose a method for evaluating the similarity of Show gardens using Deep Learning models, specifically VGG-16 and ResNet50. A model for judging the similarity of show gardens based on VGG-16 and ResNet50 models was developed, and was referred to as DRG (Deep Recognition of similarity in show Garden design). An algorithm utilizing GAP and Pearson correlation coefficient was employed to construct the model, and the accuracy of similarity was analyzed by comparing the total number of similar images derived at 1st (Top1), 3rd (Top3), and 5th (Top5) ranks with the original images. The image data used for the DRG model consisted of a total of 278 works from the Le Festival International des Jardins de Chaumont-sur-Loire, 27 works from the Seoul International Garden Show, and 17 works from the Korea Garden Show. Image analysis was conducted using the DRG model for both the same group and different groups, resulting in the establishment of guidelines for assessing show garden similarity. First, overall image similarity analysis was best suited for applying data augmentation techniques based on the ResNet50 model. Second, for image analysis focusing on internal structure and outer form, it was effective to apply a certain size filter (16cm × 16cm) to generate images emphasizing form and then compare similarity using the VGG-16 model. It was suggested that an image size of 448 × 448 pixels and the original image in full color are the optimal settings. Based on these research findings, a quantitative method for assessing show gardens is proposed and it is expected to contribute to the continuous development of garden culture through interdisciplinary research moving forward.

Analysis on Correlation Coefficient of Surface Image Velocimeter(SIV) for improved accutacy (정확도 향상을 위한 표면영상유속계(SIV)의 상관계수 분석)

  • Kim, Yong-Seok;Yang, Sung-Kee;Yoon, Kwon-kyu;Kim, Seo-jun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.381-381
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    • 2015
  • 표면영상유속계측법(Surface Image Velocimeter; SIV)은 영상분석기법의 일종으로 하천 표면의 유동을 영상저장장치로 기록하고 연속되는 이미지상의 입자이동을 계산하여 유속을 산정하는 방법이다. 그러나 표면영상유속계를 활용한 유속분석과정에서 현장 상황에 따라 많은 오차 요인들이 있을 수 있기 때문에 계산한 유속 산정 결과를 그대로 사용하면 정확도가 낮아질 수 있다. 특히 야간 영상과 같은 영상의 화질이 떨어지는 경우에는 유속 산정 결과를 필터링해서 사용해야 한다. 이는 순간 유속장을 분석하는 과정에서 획득된 이미지에 따라 분석된 유속벡터가 평균 유속보다 과다하게 크거나 상관계수 값이 너무 작은 경우가 포함되기 때문이다. 이 연구에서는 제주도 외도천 외도정수장에서 2013년 5월 27일 집중호우에 의한 유출 발생 주 야간 유출영상자료를 획득하여 표면영상유속계(SIV)와 ADCP를 활용하여 유량을 분석하고, 동시에 고정식 전자파 표면유속계인 Kalesto 관측 유량과 비교 분석하였다. 비교과정에서 제주도는 댐방류량과 같은 유량의 참값이 없으므로 각각 관측기기의 상대적인 비교를 하여 경향성을 분석하였다. 분석결과 주간유출영상은 상관계수가 0.6~0.7범위에 해당하는 유속이 전체 59개의 유속벡터 중 6.8%로 나타났으며, 0.7~0.8범위가 13.6%, 0.8~0.9범위가 18.6%, 0.9~1.0범위가 61.0%의 퍼센트를 나타났다. 야간유출영상을 주간유출영상과 비교해보면 0.6~0.7범위에 해당하는 상관계수가 6.8% 높게 분석되었으며, 반대로 0.9~1.0범위에 해당하는 상관계수는 17% 낮게 분석되었다. 이와 같은 결과는 야간유출영상이 주간유출영상에 비해 영상의 질이 떨어짐을 나타내며 표면영상유속계를 적용하여 유량을 산정하는 과정에서 획득되는 영상에 따라 상관계수에 대한 합리적인 필터링 과정이 필요하다.

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