• Title/Summary/Keyword: Region Extraction

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A SOURCE EXTRACTION METHOD FOR THE AKARI MID-IR FAINT SOURCE CATALOGUE

  • Nakamichi, Keichiro;Ishihara, Daisuke;Kaneda, Hidehiro;Oyabu, Shinki;Kondo, Toru;Amatsutsu, Tomoya;Sano, Hidetoshi;Onaka, Takashi
    • Publications of The Korean Astronomical Society
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    • v.32 no.1
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    • pp.29-31
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    • 2017
  • We plan to produce a faint source catalogue from the AKARI mid-infrared (IR) all-sky diffuse maps. In the publicly-available AKARI mid-IR point source catalogue (PSC), sources were extracted from single-scan images, and confirmed by using the other scan images. By stacking multiple scan images, we can detect fainter sources which are not listed in the PSC. We optimized the source extraction process using a $6^{\circ}{\times}6^{\circ}C$ area around the star-forming region, Cepheus B. Then, we divided the all-sky data into three seasonal images, and checked the positions and the fluxes of the detected sources on the images. As a result, our new source extraction method works well; 90% of the sources are also identified in the WISE catalogue. In this method, we obtain the detection limit twice deeper than that of the PSC. The number of sources increases by a factor of 2, as compared with the PSC.

The Technique of Spectrum Flattening by Algorithm for Minimized Harmonics Variance Value (Harmonic 분산값 최소화 알고리즘에 의한 주파수 영역 평탄화 기법)

  • Min, So-Yeon;Kim, Young-Kyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.9
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    • pp.3558-3562
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    • 2010
  • The exact fundamental frequency (pitch) extraction is important in speech signal processing. However the exact pitch extraction from speech signal is very difficult due to the effect of formant and transitional amplitude. So in this paper, the pitch is detected after flattening the spectrum in frequency region by proposed algorithm for minimized harmonics variance value. Experimental result showed the proposed method appeared an outstanding performance in compared with LPC, Cepstrum. Also, the results show the proposed method is better than conventional method.

Face Regions Segmentation and Five Sensory Organs & Myeongdang Extraction Method for Baby Ocular Inspection (소아 망진을 위한 얼굴 영역 분할과 오관 및 명당 추출 방법)

  • Kim Bong-Hyun;Lee Se-Hwan;Kim Seung-Youn;Lee Bok-Gi;Koo Kyung-Ok;Cho Dong-Uk
    • The Journal of the Korea Contents Association
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    • v.6 no.4
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    • pp.69-80
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    • 2006
  • Interest about baby health increased into promise of all life health on society. Prevention disease or treatment about baby health is important, but it is important that first of grasping baby state through correct diagnosis. In this paper, diagnosis method for baby ocular inspection of Oriental medicine applying image processing technology is presented. For this, extracting baby frontal face image based on skin color, five sensory organs extraction and extraction of myeongdang based on position information is proposed. Finally, usefulness of method Proposed by an experiment world prove.

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Lateral Channel Doping Profile Measurements Using Extraction Data of Drain Voltage-Dependent Gate-Bulk MOSFET Capacitance (드레인 전압 종속 게이트-벌크 MOSFET 캐패시턴스 추출 데이터를 사용한 측면 채널 도핑 분포 측정)

  • Choi, Min-Kwon;Kim, Ju-Young;Lee, Seong-Hearn
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.10
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    • pp.62-66
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    • 2011
  • In this study, a new RF method to extract the drain-source voltage Vds-dependent gate-bulk capacitance of deep-submicron MOSFETs is developed by determining Vds-independent gate-source overlap capacitance using measured S-parameters. The accuracy of extraction method is verified by observing good agreements between the measured and modeled S-parameters. The lateral channel doping profile in the drain region is experimentally measured using a Vds-dependent curve of the overlap and depletion length obtained from the extracted data.

Robust Object Extraction Algorithm in the Sea Environment (해양환경에서 강건한 물표 추적 알고리즘)

  • Park, Jiwon;Jeong, Jongmyeon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.3
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    • pp.298-303
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    • 2014
  • In this paper, we proposed a robust object extraction and tracking algorithm in the IR image sequence acquired in the sea environment. In order to extract size-invariant object, we detect horizontal and vertical edges by using DWT and combine it to generate saliency map. To extract object region, binarization technique is applied to saliency map. The correspondences between objects in consecutive frames are defined by the calculating minimum weighted Euclidean distance as a matching measure. Finally, object trajectories are determined by considering false correspondences such as entering object, vanishing objects and false object and so on. The proposed algorithm can find trajectories robustly, which has shown by experimental results.

Enhancement in the light extraction efficiency of 405 nm light-emitting diodes by adoption of a Ti-Al reflection layer (Ti-Al 반사막을 이용한 405 nm LED의 광추출 효율 향상)

  • Kim, C.Y.;Kwon, S.R.;Lee, D.H.;Noh, S.J.
    • Journal of the Korean Vacuum Society
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    • v.17 no.3
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    • pp.211-214
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    • 2008
  • GaN-based light-emitting diodes (LEDs) of a 405 nm wavelength have been fabricated on a sapphire substrate by metal organic chemical vapor deposition (MOCVD). In order to reflect the photons, which are generated in the InGaN active region and emitted to the backside, to the front surface, a reflection layer was deposited onto the back of the substrate. Aluminum was used as the reflection layer and Al was deposited on the sample followed by Ti evaporation for firm adhesion of the reflection layer to the substrate. The light extraction efficiency was enhanced 52 % by adoption of the Ti-Al reflection layer.

Human Face Recognition System Based on Skin Color Informations and Geometrical Feature Analysis of Face (피부색 정보와 얼굴의 구조적 특징 분석을 통한 얼굴 영상 인식 시스템)

  • Lee Eung- Joo
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.1
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    • pp.42-48
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    • 2000
  • In this paper, we propose the face image recognition algorithm using skin color information, face region features such as eye, nose, and mouse, etc., and geometrical features of chin line. In the proposed algorithm, we used the intensity as well as skin color information in the HSI color coordinate which is similar to human eye system. The experimental results of proposed method shows improved extraction quality of face and provides adaptive extraction methods for the races. And also, we used chin line information as well as geometrical features of face such as eye, nose, mouse information for the improvement of face recognition quality, Experimental results shows the more improved recognition as well as extraction quality than conventional methods.

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An Easy, Rapid, and Cost-Effective Method for DNA Extraction from Various Lichen Taxa and Specimens Suitable for Analysis of Fungal and Algal Strains

  • Park, Sook-Young;Jang, Seol-Hwa;Oh, Soon-Ok;Kim, Jung A;Hur, Jae-Seoun
    • Mycobiology
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    • v.42 no.4
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    • pp.311-316
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    • 2014
  • Lichen studies, including biodiversity, phylogenetic relationships, and conservation concerns require definitive species identification, however many lichens can be challenging to identify at the species level. Molecular techniques have shown efficacy in discriminating among lichen taxa, however, obtaining genomic DNA from herbarium and fresh lichen thalli by conventional methods has been difficult, because lichens contain high proteins, polysaccharides, and other complex compounds in their cell walls. Here we report a rapid, easy, and inexpensive protocol for extracting PCR-quality DNA from various lichen species. This method involves the following two steps: first, cell breakage using a beadbeater; and second, extraction, isolation, and precipitation of genomic DNA. The procedure requires approximately 10 mg of lichen thalli and can be completed within 20 min. The obtained DNAs were of sufficient quality and quantity to amplify the internal transcribed spacer region from the fungal and algal lichen components, as well as to sequence the amplified products. In addition, 26 different lichen taxa were tested, resulting in successful PCR products. The results of this study validated the experimental protocols, and clearly demonstrated the efficacy and value of our KCl extraction method applied in the fungal and algal samples.

Hybrid Silhouette Extraction Using Color and Gradient Informations (색상 및 기울기 정보를 이용한 인간 실루엣 추출)

  • Joo, Young-Hoon;So, Jea-Yun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.7
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    • pp.913-918
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    • 2007
  • Human motion analysis is an important research subject in human-robot interaction (HRI). However, before analyzing the human motion, silhouette of human body should be extracted from sequential images obtained by CCD camera. The intelligent robot system requires more robust silhouette extraction method because it has internal vibration and low resolution. In this paper, we discuss the hybrid silhouette extraction method for detecting and tracking the human motion. The proposed method is to combine and optimize the temporal and spatial gradient information. Also, we propose some compensation methods so as not to miss silhouette information due to poor images. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.

License Plate Extraction Using Gray Labeling and fuzzy Membership Function (그레이 레이블링 및 퍼지 추론 규칙을 이용한 흰색 자동차 번호판 추출 기법)

  • Kim, Do-Hyeon;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1495-1504
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    • 2008
  • New license plates have been used since 2007. This paper proposes a new license plate extraction method using a gray labeling and a fuzzy reasoning method. First, the proposed method extracts the candidate plates by the gray labeling which is the enhanced version of a non-recursive flood-filling algorithm. By newly designed fuzzy inference system. fitness of each candidate plates are calculated. Finally, the area of the license plate in a image is extracted as a region of the candidate label which has the highest fitness. In the experiments, various license plate images took from indoor/outdoor parking lot, street, etc. by digital camera or cellular phone were used and the proposed extraction method was showed remarkable results of a 94 percent success.