• Title/Summary/Keyword: 순차적 검출

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Sequential Defect Detection According to Defect Possibility in TFT-LCD Panel Image (TFT-LCD 패널 영상에서 결함 가능성에 따른 순차적 결함 검출)

  • Lee, SeungMin;Kim, Tae-Hun;Park, Kil-Houm
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.4
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    • pp.123-130
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    • 2014
  • In TFT-LCD panel images, defects are typically detected by using a large difference in the brightness compared to the background. In this paper, we propose a sequential defect detection algorithm according to defect possibility caused by difference of brightness. By using this method, pixels with high defect probabilities are preferentially detected and defects with a large brightness difference are accurately detected. Also, limited defects with a small brightness difference is detected more reliably, eventually minimizing the degree of over-detection. We have experimentally confirmed that our proposed method showed an excellent detection result for detecting limited defects as well as defects with a large brightness difference.

Adaptive Defect Detection Method based on Skewness of the Histogram in LCD Image (액정 표시 장치 표면 영상에서 히스토그램 비대칭도 기반의 적응적 결함 검출)

  • Gu, Eunhye;Park, Kil-Houm
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.107-117
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    • 2016
  • STD method using a mean and standard deviation is widely used in various inspection systems. The result of detection using the STD method is very dependent on the threshold value. This paper proposes an adaptive defect detection algorithm to with a precise detection of an ultimate defect. The proposed method is determined threshold value adaptively using a skewness that indicates a similarity of intensity and normal distribution of image. In the experiment, we used a various TFT-LCD images for a quantitative evaluation of defect detection performance evaluation result to prove the performance of the proposed algorithm.

A TFT-LCD Defect Detection Method based on Defect Possibility using the Size of Blob and Gray Difference (블랍 크기와 휘도 차이에 따른 결함 가능성을 이용한 TFT-LCD 결함 검출)

  • Gu, Eunhye;Park, Kil-Houm
    • Journal of the Korea Industrial Information Systems Research
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    • v.19 no.6
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    • pp.43-51
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    • 2014
  • TFT-LCD image includes a defect of various properties. TFT-LCD image have a recognizable defects in the human inspector. On the other hand, it is difficult to detect defects that difference between the background and defect is very low. In this paper, we proposed sequentially detect algorithm from pixels included in the defect region to limited defects. And blob analysis methods using the blob size and gray difference are applied to the defect candidate image. Finally, we detect an accurate defect blob to distinguish the noise. The experimental results show that the proposed method finds the various defects reliably.

TFT-LCD Defect Blob Detection based on Sequential Defect Detection Method (순차적 결함 검출 방법에 기반한 TFT-LCD 결함 영역 검출)

  • Lee, Eunyoung;Park, Kil-Houm
    • Journal of the Korea Industrial Information Systems Research
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    • v.20 no.2
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    • pp.73-83
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    • 2015
  • This paper proposes a TFT-LCD defect blob detection algorithm using the sequential defect detection method. First, for every pixel, a defect possibility is determined by the intensity difference and the defect candidates are detected according to the sequential defect detection method. For detected candidate pixels, the defect probability that indicates a potential included in the defect according to the each step. By applying the morphological operation, blobs are comprised of the detected candidates and the defect blobs are detected using the defect possibility of blobs. The validity of the proposed method was demonstrated a simulated image and also then it was tested a real TFT-LCD image. By the experimental results, the proposed method is very effective in TFT-LCD detect detection.

Designation of an Application Model for Tag-Position Tracking in the RFID UHF Band (RFID UHF 대역의 태그 위치추적 응용모델 설계)

  • Shin, Kyung-Chul;Kim, Woo-Sung;Oh, Yong-Sun
    • Proceedings of the Korea Contents Association Conference
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    • pp.377-383
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    • 2004
  • In this paper, we propose an application model of RFID that needs not be worried about battery degradation problems and offers convenience of hand-carry. We design the RFID application model which can track medium distance target RFID Tag and detect the signal difference between multi-detectors in a room area using 900MHz frequency band. In the case of multi-ID Tag in one detector, we approach TDMA scheme.

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Design and Implementation of Efficient Symbol Detector for MIMO Spatial Multiplexing Systems (MIMO 공간 다중화 시스템을 위한 효율적인 심볼 검출기의 설계 및 구현)

  • Jung, Yun-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.10
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    • pp.75-82
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    • 2008
  • In this paper, we propose an efficient symbol detection algorithm for multiple-input multiple-output spatial multiplexing (MIMO-SM) systems and present its design and implementation results. By enhancing the performance of the first detected symbol which causes error propagation, the proposed algorithm achieves a considerable performance gain as compared to the conventional sorted QR decomposition (SQRD) based detection and the ordered successive detection (OSD) algorithms. The bit error rate (BER) performance of the proposed detection algorithm is evaluated by the simulation. In case of 16QAM MIMO-SM system with 4 transmit and 4 receive ($4{\times}4$) antennas, at $BER=10^{-3}$ the proposed algorithm obtains the gai improvement of about 2.5-13.5 dB over the conventional algorithms. The proposed detection algorithm was designed in a hardware description language (HDL) and synthesized to gate-level circuits using 0.18um 1.8V CMOS standard cell library. The results show that the proposed algorithm can be implemented without increasing the hardware costs significantly.

Vessel Tracking Algorithm using Multiple Local Smooth Paths (지역적 다수의 경로를 이용한 혈관 추적 알고리즘)

  • Jeon, Byunghwan;Jang, Yeonggul;Han, Dongjin;Shim, Hackjoon;Park, Hyungbok;Chang, Hyuk-Jae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.6
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    • pp.137-145
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    • 2016
  • A novel tracking method is proposed to find coronary artery using high-order curve model in coronary CTA(Computed Tomography Angiography). The proposed method quickly generates numerous artificial trajectories represented by high-order curves, and each trajectory has its own cost. The only high-ranked trajectories, located in the target structure, are selected depending on their costs, and then an optimal curve as the centerline will be found. After tracking, each optimal curve segment is connected, where optimal curve segments share the same point, to a single curve and it is a piecewise smooth curve. We demonstrated the high-order curve is a proper model for classification of coronary artery. The experimental results on public data set sho that the proposed method is comparable at both accuracy and running time to the state-of-the-art methods.

An Etiologic Study of Rabbit Dermatitis at Large Rabbit Farms in South Korea (집단 사육 되는 토끼에서 호발하는 피부병에 관한 병인론적 연구)

  • Kim, Sung-Ho;Lee, Jae-Hoon;Chang, Hwa-Seok;Kang, Eun-Hee;Chung, Dai-Jung;Kim, Hwi-Yool
    • Journal of Life Science
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    • v.19 no.11
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    • pp.1499-1505
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    • 2009
  • This study was carried out between August and September 2007 to determine the causative agents and epidemiologic features of rabbit dermatitis in Korea. Rabbits were shipped to the laboratory in the College of Veterinary Medicine from 10 rabbit farms. A total of 520 hair, blood, and skin specimens collected from skin lesions of 40 rabbits with suspected dermatopathy were examined mycologically, bacteriologically, and parasitologically. The positive rates of dermatophytosis, bacterial skin dermatitis, and ectoparasite dermatitis were 95, 92.5, and 7.5%, respectively. The etiologic agents of dermatophytosis were identified as Trichophyton mentagrophyte (95%), non-dermatophytic filamentous fungi such as Aspergillus s(5%), and Cryptococcus humilocus (2.5%). With respect to bacteria-related skin dermatitis, Staphylococcus coagulase negative was the most common etiological agent. Staphylococcus aureus was the second most frequent causative agent. Most of the pathogenic isolates were resistant to tetracycline, and aminoglycosides such as amikacin and gentamicin were the most effective drugs against the pathologic bacteria isolated. Ectoparasites were rarely detected in this study. Only Psoroptes cuniculis was detected in 3 (7.5%) out of the 40 tested rabbits. The role of ectoparasites as a causative agent of dermatitis in rabbits in this study was minimal. Our results provide important information related to rabbit dermatitis treatments and researches.