• Title/Summary/Keyword: Optimal Threshold

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Hierarchical hausdorff distance matching using pyramid structures (피라미드 구조를 이용한 계층적 hausdorff distance 정합)

  • 권오규;심동규;박래홍
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.12
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    • pp.70-80
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    • 1997
  • This paper proposes a hierarchical Hausdorff distance (HD) matching algorithm baased on coarse-to-fine approach. It reduces the computational complexity greatly by using the pyramidal structures consisting of distance transform (DT) and edge pyramids. Also, inthe proposed hierarchical HD matching, a thresholding method is presented to find an optimal matching position with small error, in which the threshold values are determined by using the property between adjacent level of a DT map pyramid. By computer simulation, the performance of the conventional and proposed hierarchical HD matching algorithms is compared in therms of the matching position for binary images containing uniform noise.

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A Study on the Image Enhancement of Lineacgram (리니악 사진의 영상 개선에 관한 연구)

  • 허수진
    • Journal of Biomedical Engineering Research
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    • v.13 no.1
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    • pp.19-24
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    • 1992
  • Lineacgrams are diagnostic films taken using X-ray from the linear accelerator with the patient in the treatment position to assure that the treatment is being delivered in accordance with the treatment prescription. But the image quality of the lineacgram is so bad because of the high X-ray energy. This paper presents a new algorithm that enhances the image of lineacgram. Thls algorithm calculates optimal threshold value which is used for segmentation of lineacgram using co-occurrence matrix and enhances the image Inside and outside treatment area preserving treatments boundary.

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Otsu's method for speech endpoint detection (Otsu 방법을 이용한 음성 종결점 탐색 알고리즘)

  • Gao, Yu;Zang, Xian;Chong, Kil-To
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.40-42
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    • 2009
  • This paper presents an algorithm, which is based on Otsu's method, for accurate and robust endpoint detection for speech recognition under noisy environments. The features are extracted in time domain, and then an optimal threshold is selected by minimizing the discriminant criterion, so as to maximize the separability of the speech part and environment part. The simulation results show that the method play a good performance in detection accuracy.

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Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression

  • Del Mar Elena, Maria;Quero, Jose Manuel;Borrego, Inmaculada
    • ETRI Journal
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    • v.29 no.4
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    • pp.530-532
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    • 2007
  • This paper presents a simple method to implement a complete on-line portable wireless holter including an electrocardiogram (ECG) monitoring, processing, and communication protocol. The proposed algorithm significantly reduces the hardware resources of threshold estimation for ECG compression, using the standard deviation updated with each new input signal sample. The new method achieves superior performance in terms of hardware complexity, channel occupation and memory requirements, while keeping the ECG quality at a clinically acceptable level.

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A study on locomotion of a mobile robot by a pattern recognition (패턴 인식에 의한 이동 로보트의 주행에 관한 연구)

  • 신중섭;정동명;장원석;홍승홍
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.79-82
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    • 1987
  • This paper describes the mobile robot system to recognize the guidance tape, and presents the locomotion algorithm. It is composed of image processing unit, A/ID converter and camera. This system converts video image to binary image by setting an optimal threshold and obtains the parameters to move the robot. The mobile robot moves according to the programmed route in memory. But after recognized the obstacle on the locomotion route, this system constructs the new route and the robot moves following the new route.

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The Family Approach to Nonparametric Estimation of the Regression Function (비모수적 회귀함수 추정에 대한 Family Approach)

  • 정성석
    • Journal of Korean Society for Quality Management
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    • v.25 no.4
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    • pp.106-114
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    • 1997
  • The smoothing parameter or bandwidth is crucial to performance of the kernel based regression estimator. So the choice of a "optimal" smoothing parameter produce a single curve estimate. If a single estimate is replaced by a family of estimates, it become easy that we understand what varies with choice of the smoothing parameter. This paper suggests the threshold of the maximum bandwidth and the number of the family members in the regression context.n context.

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Metal Drilling using Amplitude Modulated Laser Pulse (AM 변조된 레이저 펄스를 이용한 금속 Drilling)

  • Kim, Ho-Seong
    • Proceedings of the KIEE Conference
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    • 1994.07b
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    • pp.1210-1212
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    • 1994
  • An amplitude modulation technique for increasing the laser penetration efficiency for metals has been studied. By chopping electro-optically Nd:YAG laser pulse, the threshold energy for reliable hole drilling was decreased significantly and the penetration depth was increased. It was observed that the effect of chopping was optimal at 8-12 kHz with 60% duty cycle. It is believed that this improvement is due to an increase in the vapor recoil pressure and reduced plasma screening.

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Wavelet-based Image Denoising with Optimal Filter

  • Lee, Yong-Hwan;Rhee, Sang-Burm
    • Journal of Information Processing Systems
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    • v.1 no.1 s.1
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    • pp.32-35
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    • 2005
  • Image denoising is basic work for image processing, analysis and computer vision. This paper proposes a novel algorithm based on wavelet threshold for image denoising, which is combined with the linear CLS (Constrained Least Squares) filtering and thresholding methods in the transform domain. We demonstrated through simulations with images contaminated by white Gaussian noise that our scheme exhibits better performance in both PSNR (Peak Signal-to-Noise Ratio) and visual effect.

Segmentation of the Lip Region by Color Gamut Compression and Feature Projection (색역 압축과 특징치 투영을 이용한 입술영역 분할)

  • Kim, Jeong Yeop
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1279-1287
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    • 2018
  • In this paper, a new type of color coordinate conversion is proposed as modified CIEXYZ from RGB to compress the color gamut. The proposed segmentation includes principal component analysis for the optimal projection of a feature vector into a one-dimensional feature. The final step adopted for lip segmentation is Otsu's threshold for a two-class problem. The performance of the proposed method was better than that of conventional methods, especially for the chromatic feature.

A Genetic-Algorithm-Based Optimized Clustering for Energy-Efficient Routing in MWSN

  • Sara, Getsy S.;Devi, S. Prasanna;Sridharan, D.
    • ETRI Journal
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    • v.34 no.6
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    • pp.922-931
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    • 2012
  • With the increasing demands for mobile wireless sensor networks in recent years, designing an energy-efficient clustering and routing protocol has become very important. This paper provides an analytical model to evaluate the power consumption of a mobile sensor node. Based on this, a clustering algorithm is designed to optimize the energy efficiency during cluster head formation. A genetic algorithm technique is employed to find the near-optimal threshold for residual energy below which a node has to give up its role of being the cluster head. This clustering algorithm along with a hybrid routing concept is applied as the near-optimal energy-efficient routing technique to increase the overall efficiency of the network. Compared to the mobile low energy adaptive clustering hierarchy protocol, the simulation studies reveal that the energy-efficient routing technique produces a longer network lifetime and achieves better energy efficiency.