• 한국멀티미디어학회논문지
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• 제24권11호
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• pp.1472-1480
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• 2021

Image stacking technique is one of the key techniques for complex surface reconstruction. The process includes sample collection, image processing, algorithm editing, surface reconstruction, and finally reaching reliable conclusions. Since this experiment is based on laser scanning confocal microscope to collect the original contour information of the sample, it is necessary to briefly introduce the relevant principle and operation method of laser scanning confocal microscope. After that, the original image is collected and processed, and the data is expanded by interpolation method. Meanwhile, several methods of surface reconstruction are listed. After comparing the advantages and disadvantages of each method, one-dimensional interpolation and volume rendering are finally used to reconstruct the 3D model. The experimental results show that the final 3d surface modeling is more consistent with the appearance information of the original samples. At the same time, the algorithm is simple and easy to understand, strong operability, and can meet the requirements of surface reconstruction of different types of samples.

• 한국멀티미디어학회논문지
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• 제24권3호
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• pp.406-415
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• 2021

The worldwide spread of the Internet and the digital information revolution have resulted in a rapid increase in the use and transmission of multimedia information due to the rapid development of communication technologies. It is important to protect images in order to prevent problems such as piracy and illegal distribution. To solve this problem, I propose a new digital color image encryption algorithm in this paper. I design a new pseudo-random number generator based on 1D five-neighborhood maximum length cellular automata (FN-MLCA) to change the pixel values of the plain image into unpredictable values. And then I use a 3D chaotic cat map to effectively shuffle the positions of the image pixel. In this paper, I propose a method to construct a new MLCA by modeling 1D FN-MLCA. This result is an extension of 1D 3-neighborhood CA and shows that more 1D MLCAs can be synthesized. The safety of the proposed algorithm is verified through various statistical analyses.

• 패션비즈니스
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• 제20권3호
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• pp.30-42
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• 2016

The objective of this study was to perform 3D solid modeling from 3D scanned surface images of cotton and silk in order to calculate the thermal heat transfer responses using numerical simulations. Continuing from the previous methodology, which provided 3D surface data for a fabric through optical measurements of the fabric microstructure, a simplified 3D solid model, containing a defined unit cell, pattern unit and fabric structure, was prepared. The loft method was used for 3D solid-model generation, and heat transfer calculations, made for the fabric, were then carried out using the 3D solid model. As a result, comprehensive protocols for 3D solid-model generation were established based on the optical measurements of real fabric samples. This method provides an effective means of using 3D information for building 3D models of actual fabrics and applying the model in numerical simulations. The developed process can be used as the basis for other analogous research areas to investigate the physical characteristics of any fabrics.

• 보존과학회지
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• 제38권1호
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• pp.55-63
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• 2022

The Bigyeokjincheolloe (bomb shell), a scientific cultural heritage, has outstanding historical value for sustaining a gunpowder weapon of Joseon. In this study, the bomb shell was modeled through three-dimensional (3D) scanning centered on the external shape and 𝛾-ray radiography-based on the internal shape. In particular, to improve the contrast in the radiographic image, optimization and image processing were performed. After these processes, the thickness of the inner wall (2.5 cm on average) and the positions of the three mold chaplets were clearly revealed. For exhibition purposes, the 3D model of the bomb shell was output to a 3D printer and the output was rendered realistic by coloring. In addition, the internal functional elements, such as Mokgok, fuse, mud, gunpowder, and caltrops, were reproduced through handwork. The results will contribute to the study of digital heritages in two ways. First, the internal and external shapes of the bomb shell were modeled by fusing two different technologies, namely, 3D scanning and 𝛾-ray radiography. Second, the internal shape of the bomb shell was constructed from the original form data and the reproduction was utilized for museum exhibitions. The developed modeling approach will greatly expand the scope of museum exhibitions, from those centered on historical content to those centered on scientific content.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권1호
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• pp.570-595
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• 2017

Robust and perceptually-adaptive image watermarking algorithms have mainly targeted gray-scale images either at the modeling or embedding levels despite the widespread availability of color images. Only few of the existing algorithms are specifically designed for color images where color correlation and perception are constructively exploited. In this paper, a new perceptual and high-capacity color image watermarking solution is proposed based on the extension of Tsui et al. algorithm. The $CIEL^*a^*b^*$ space and the spatio-chromatic Fourier transform (SCFT) are combined along with a perceptual model to hide watermarks in color images where the embedding process reconciles between the conflicting requirements of digital watermarking. The perceptual model, based on an emerging color image model, exploits the non-uniform just-noticeable color difference (NUJNCD) thresholds of the $CIEL^*a^*b^*$ space. Also, spread-spectrum techniques and semi-random low-density parity check codes (SR-LDPC) are used to boost the watermark robustness and capacity. Unlike, existing color-based models, the data hiding capacity of our scheme relies on a game-theoretic model where upper bounds for watermark embedding are derived. Finally, the proposed watermarking solution outperforms existing color-based watermarking schemes in terms of robustness to standard image/color attacks, hiding capacity and imperceptibility.

• 한국컴퓨터정보학회논문지
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• 제16권4호
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• pp.73-81
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• 2011

본 논문에서는 모델 히스토그램 개수를 적응적으로 조절하는 블록기반의 배경 모델링 방법을 제안한다. 기존의 블록 기반의 배경 모델링 방법은 각 블록에 대한 모델 히스토그램의 개수를 고정한다. 따라서 조명변화와 움직이는 객체에 대해 오검출이 발생하는 문제가 있고 움직임이 없는 객체에 대해서는 검출이 되지 않는 문제가 있다. 또한 입력영상의 종류마다 달라질 수 있는 최적의 모델 히스토그램의 개수를 수동적으로 찾아야 하는 문제가 있다. 본 논문에서는 실험을 통해 엘리베이터 내에서 조명변화가 있고 객체가 움직이는 상황과 조명변화가 없고 객체가 정지해 있는 상황에 대해 기존의 방법과 성능을 비교하여 제안한 알고리즘의 효용성을 입증한다.

• 대한전자공학회논문지SP
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• 제44권2호
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• pp.37-45
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• 2007

국부통계처리에 근거한 금석문영상의 적응영상향상 기법을 제안한다. 영상의 국부통계처리 값들을 영상향상을 위한 적응실현으로 활용하여 평활화와 상세화의 경로를 조정한다. 미세부분에서는 영상이 향상되고 평활영역에서는 잡음이 억제된다 금석 문영상의 모델링을 위해 한지밀착본(韓紙密着本)디지털영상(HSDI, Hanzi squeezed digital image)의 전처리 과정을 수행하였다. HSDI 분석을 통해 국부통계처리 값들을 산출하고 영상을 모델링한다. 본 기법을 HSDI에 적용하여 에지부분의 미세한 변화를 향상시키고 배경영역을 평활시킴으로 결국 문자영역의 시각적 효과를 증대하였다 실험결과들은 제시한 알고리즘이 기존의 영상향상기법보다 우수함을 보여준다.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 1999년도 추계학술대회 발표요약문
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• pp.47-51
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• 1999

Geo-features play a key role in object-oriented or feature-based geo-processing system. So the strategy for how-to-model and how-to-manage the geo-features builds the main architecture of the entire system and also supports the efficiency and functionality of the system. Unlike the conventional 2D geo-processing system, geo-features in 3D GIS have lots to be considered to model regarding the efficient manipulation and analysis and visualization. When the system is running on the Web, it should also be considered that how to leverage the level of detail and the level of automation of modeling in addition to the support for client side data interoperability. We built a set of 3D geo-features, and each geo-feature contains a set of aspatial data and 3D geo-primitives. The 3D geo-primitives contain the fundamental modeling data such as the height of building and the burial depth of gas pipeline. We separated the additional modeling data on the geometry and appearance of the model from the fundamental modeling data to make the table in database more concise and to allow the users more freedom to represent the geo-object. To get the users to build and exchange their own data, we devised a fie format called VGFF 2.0 which stands for Virtual GIS File Format. It is to describe the three dimensional geo-information in XML(extensible Markup Language). The DTD(Document Type Definition) of VGFF 2.0 is parsed using the DOM(Document Object Model). We also developed the authoring tools for users can make their own 3D geo-features and model and save the data to VGFF 2.0 format. We are now expecting the VGFF 2.0 evolve to the 3D version of SVG(Scalable Vector Graphics) especially for 3D GIS on the Web.

• 디지털콘텐츠학회 논문지
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• 제18권4호
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• pp.723-731
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• 2017

고고자료의 복원은 과거 기록물로 남겨진 사진과 도면자료를 이용하여 진행하였다. 크게 유구와 유물로 구분하여 살펴보았다. 유구에 대한 복원은 사진으로 남겨진 개개 부위 및 부분을 모델링하고, 이들을 정렬 및 합성하여 하나의 객체로 3차원 복원하였다. 유물에 대한 복원은 사진을 통한 모델링 작업을 우선한 후, 모델링된 유물의 파손 부위에 대한 텍스쳐 이미지를 수정하여 원상 복원하거나, 유물 내 결실부위에 대한 모델링 제작과 합성을 통한 원상을 복원하는 방식이 있다. 도면을 통한 복원은 3차원 모델링 제작과 함께 이미지의 실사맵핑을 통한 복원을 진행하였다. 이렇게 복원된 고고자료는 과거 2D자료를 통한 수치 분석과 해석의 연구성과를 검증하고 비교를 진행할 수 있으며, 추후 더욱 정확한 분석 방안을 제시할 수 있다.

• Journal of information and communication convergence engineering
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• 제12권3호
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• pp.193-197
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• 2014

Edges are a robust feature for object detection. In this paper, we present an edge-based background modeling method for the detection of moving objects. The edges in the image frames were mapped using robust Canny edge detector. Two edge maps were created and combined to calculate the ultimate moving-edge map. By selecting all the edge pixels of the current frame above the defined threshold of the ultimate moving edges, a temporary background-edge map was created. If the frequencies of the temporary background edge pixels for several frames were above the threshold, then those edge pixels were treated as background edge pixels. We conducted a performance comparison with previous works. The existing edge-based moving-object detection algorithms pose some difficulty due to the changes in background motion, object shape, illumination variation, and noises. The result of the performance evaluation shows that the proposed algorithm can detect moving objects efficiently in real-world scenarios.