• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.26-36
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• 2012

Since shape of an object in an image carries important information in contents based image retrieval (CBIR), many shape description methods have been proposed to retrieve images using shape information. Among the existing shape based image retrieval methods, the method which employs invariant Zernike moment desciptor (IZMD) showed better performance compared to other methods which employ traditional Zernike moments descriptor in CBIR. In this paper, we propose a new image retrieval method which applies invariant angular radial transform descriptor (IARTD) to obtain higher performance than the method which employs IZMD in CBIR. IARTD is a rotationally invariant feature which consists of magnitudes and alligned phases of angular radial transform coefficients. To produce rotationally invariant phase coefficients, a phase correction scheme is performed while extracting the IARTD. The distance between two IARTDs is defined by combining the differences of the magnitudes and the aligned phases. Through the experiment using MPEG-7 shape dataset, the average bull's eye performance (BEP) of the proposed method is 0.5806 while the average BEPs of the exsiting methods which employ IZMD and traditional ART are 0.4234 and 0.3574, respectively.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.81-94
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• 2012

Several methods which utilize the phase of Zernike moments (ZMs) to estimate the rotation angle have shown good performance in terms of accuracy. In this paper, we provides the performance comparison results of the existing rotation angle estimation methods based on ZMs and propose an extension of Revaud et al.'s method [1] which utilizes the phase of ZMs; the proposed method uses angular radial transform coefficients instead of ZMs and yields better performance than the ZMs based methods in terms of accuracy. A set of ART can describe angular variation of image more intensively than ZMs, it enables more accurate estimation of the rotation angle than ZMs. In the experiments, the proposed method outperforms ZMs based method. Comparisons were made in terms of the root mean square error vs. the coverage on MPEG-7 shape dataset.

• Journal of the Korea Computer Industry Society
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• v.2 no.4
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• pp.471-480
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• 2001

In this thesis, we perform the experiment of speaker recognition by identifying vowels in the pronunciation of each speaker using Adaptive Resource Theory 2(ART2) model. The 5 adult males and 5 adult females pronounce from 0 to 9 digits. We extract the vowels from the pronunciation of each speaker first, we are extracted characteristic coefficient through a pitch detection algorithm, a LPC analysis, and a LPC cepstral analysis to generate an input pattern of ART2. The experimental results showed that pitch coefficients are somewhat more enhanced than LPC or LPC cepstral coefficient.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.368-370
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• 2013

본 논문에서는 복부 초음파 영상에서 복부 근육을 추출하고 추출된 근육 영역에서 지방을 분석하는 방법을 제안한다. 복부 초음파 영상에서 밝은 명암도를 가지는 근막 영역과 어두운 명암도를 가지는 근육 영역의 명암 대비를 강조하기 위해서 앤드 인 탐색 스트레칭 방법과 Multiple 연산을 적용한다. 평균 명암도와 명암 대비가 강조된 복부 초음파 영상에서 수직 방향의 명암도가 200이상인 픽셀들은 퍼지 이진화 기법을 적용하여 이진화한다. 이진화된 영상에서 외복사근 상단선을 추출한 후, 퍼지 이진화 기법이 적용된 영상과 합성한다. 합성된 영상에서 최종 근막 영역을 추출한다. 추출된 각각의 복부 근육 영역에 ART2 알고리즘을 적용하여 복부 근육 영역을 양자화한다. 양자화된 복부 근육 내의 영역을 분석하여 최종 지방 영역을 추출한다. 제안된 복부 근육 추출 및 지방 분석 방법을 실제 복부 초음파 영상을 대상으로 실험한 결과, 추출된 복부 근육 영역에 ART2 알고리즘 기반 양자화 기법을 적용하여 지방을 추출하는 것이 복부비만을 분석하는데 도움이 되는 것을 영상 의학과 전문의를 통해 확인하였다.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.99-100
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• 2016

본 연구는 경제적 가치가 있는 돈, 상품 등을 입자로 대체하여, 관람객의 행동에 대해 보상을 제공하는 "3D interactive reward system"을 만들었다. 관람객의 움직임과 속도에 따라 보상물의 종류, 생성량을 변화시켜 보상심리를 자극함으로써 보다 관람객의 관심과 적극적인 참여를 유도하고 동시에 자연스럽게 가상의 Fuzzy현상을 체험하고 소통할 수 있도록 시도하였다.

• Current Optics and Photonics
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• v.6 no.5
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• pp.463-472
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• 2022

At certain wavelengths, single-pixel imaging is considered to be a solution that can achieve high quality imaging and also reduce costs. However, achieving imaging of complex scenes is an overhead-intensive process for single-pixel imaging systems, so low efficiency and high consumption are the biggest obstacles to their practical application. Improving efficiency to reduce overhead is the solution to this problem. Salient object detection is usually used as a pre-processing step in computer vision tasks, mimicking human functions in complex natural scenes, to reduce overhead and improve efficiency by focusing on regions with a large amount of information. Therefore, in this paper, we explore the implementation of salient object detection based on single-pixel imaging after a single pixel, and propose a scheme to reconstruct images based on Fourier bases and use U²Net models for salient object detection.

• Current Optics and Photonics
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• v.7 no.5
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• pp.511-517
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• 2023

Pipelines play an important role in urban water supply and drainage, oil and gas transmission, etc. This paper presents a technique for pattern recognition of fiber optic vibration signals collected by a distributed vibration sensing (DVS) system using a deep learning residual network (ResNet). The optical fiber is laid on the pipeline, and the signal is collected by the DVS system and converted into a 64 × 64 single-channel grayscale image. The grayscale image is input into the ResNet to extract features, and finally the K-nearest-neighbors (KNN) algorithm is used to achieve the classification and recognition of pipeline damage.

• The International Journal of Costume Culture
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• v.7 no.1
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• pp.1-16
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• 2004

Pop art, an artistic trend which was actively popular centering around popularization of America in the 1960's, appears as punk style in the 1970's and as one of diversified style in the 1980's, and have co-existed in the third culture and pluralistic combination since the 1990's. The image of pop art includes complexity, familiarity and popularity as well as extension of media, and so directly influences the fashion in the end of the 20th century. Especially, sportslook show up by the virtue of rising lower cultural area such as street fashion becoming influential and change in life style, which was recreated as clothes by developing characteristics of design including style, details and colors showed in active sports wear. This study is aimed to ana analyze the image of pop art showed again in the modern fashion in the end of the 20th century and graffiti-art which was well known to the general public after the 1980's. Through this analysis, I will study characteristics of pop art showed in sportslook which is the mainstream in modern fashion and graffiti of Keith Haring. Consequently, I suggested a functional, esthetic and future-oriented sports look design which comprises the image of the graffiti-art of Keith Haring by using Design CAD(photoshop & primavision) enabling to attempt variously and to derive quickly the output of design and textile.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.727-735
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• 2021

The purpose of this study is to evaluate visual arts in interactive technology in art museum applications and to analyze the impact relationship between interactive technology and the five senses. This study was conducted to survey respondents who had used art museum applications. The results are as follows. First, this study evaluates the differences in perception of art museum applications according to the general characteristics of the respondents. They show that there are differences in gender, marital status, age, and social income. Second, this study identifies the impact of five senses and synesthesia on interaction design among emotional design elements. They reveal that visual, auditory, tactile components, and synesthesia have significant effects on interactive design. This study reveals that emotional design elements of art museum applications affect interaction design. Also, it suggests that research on interaction design reflecting five senses is continuously needed to improve audience satisfaction and revitalize art museum applications.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.215-217
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• 2013

21세기 지식 정보 사회에서는 다양한 학문 분야의 영역을 넘나드는 융합적이고 창의적인 사고를 하는 통섭적인 인재가 필요하다. 이에 우리나라에서는 STEAM 교육을 강화하고 있는 추세이고 관련된 연구도 활발히 이루어지고 있다. 그러나 대부분 과학중심의 STEAM 교육이 이루어지고 있는 실정이다. 예술을 통해 얻는 교육적 가치를 고려해 볼 때 STEAM 교육에서 예술을 보조적 수단으로 여기는 경향은 개선되어야 한다고 생각한다. 이에 본 연구에서는 스크래치와 로봇을 활용한 예술 교과 중심의 STEAM 교육 프로그램을 설계하고자 한다.