• Title/Summary/Keyword: Cubic-spline 보간

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Performance Improvement of Material Recognition Sensor Using Cubic Spline Interpolation (Spline보간식을 이용한 물체재질인식센서의 성능개선)

  • Park, J.G.;Lim, Y.C.;Cho, K.Y.;Kim, Y.G,;Chang, Y.H.
    • Journal of Sensor Science and Technology
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    • v.1 no.1
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    • pp.43-51
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    • 1992
  • This paper describes a noble robot sensor designed to recognize an unknown material by measuring its thermal conductivity on various ambient temperature. The excellent agreement has been obtained between the measured sensor temperature and the calculated sensor temperature by cubic spline interpolation. The active sensor to measure the thermal conductivity of a gripped object was designed and the software program using C language to discriminate objects made of different materials was developed. The temperature response characteristics of different materials on the same ambient temperature was investigated. The temperatures on three comparing points varied linearly and had parallel relation with one another in accordance with various ambient temperature.

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A Study on the Improvement of Digital Periapical Images using Image Interpolation Methods (영상보간법을 이용한 디지털 치근단 방사선영상의 개선에 관한 연구)

  • Song Nam-Kyu;Koh Kawng-Joon
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.28 no.2
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    • pp.387-413
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    • 1998
  • Image resampling is of particular interest in digital radiology. When resampling an image to a new set of coordinate, there appears blocking artifacts and image changes. To enhance image quality, interpolation algorithms have been used. Resampling is used to increase the number of points in an image to improve its appearance for display. The process of interpolation is fitting a continuous function to the discrete points in the digital image. The purpose of this study was to determine the effects of the seven interpolation functions when image resampling in digital periapical images. The images were obtained by Digora, CDR and scanning of Ektaspeed plus periapical radiograms on the dry skull and human subject. The subjects were exposed to intraoral X-ray machine at 60kVp and 70 kVp with exposure time varying between 0.01 and 0.50 second. To determine which interpolation method would provide the better image, seven functions were compared; (1) nearest neighbor (2) linear (3) non-linear (4) facet model (5) cubic convolution (6) cubic spline (7) gray segment expansion. And resampled images were compared in terms of SNR(Signal to Noise Ratio) and MTF(Modulation Transfer Function) coefficient value. The obtained results were as follows ; 1. The highest SNR value(75.96dB) was obtained with cubic convolution method and the lowest SNR value(72.44dB) was obtained with facet model method among seven interpolation methods. 2. There were significant differences of SNR values among CDR, Digora and film scan(P<0.05). 3. There were significant differences of SNR values between 60kVp and 70kVp in seven interpolation methods. There were significant differences of SNR values between facet model method and those of the other methods at 60kVp(P<0.05), but there were not significant differences of SNR values among seven interpolation methods at 70kVp(P>0.05). 4. There were significant differences of MTF coefficient values between linear interpolation method and the other six interpolation methods (P< 0.05). 5. The speed of computation time was the fastest with nearest -neighbor method and the slowest with non-linear method. 6. The better image was obtained with cubic convolution, cubic spline and gray segment method in ROC analysis. 7. The better sharpness of edge was obtained with gray segment expansion method among seven interpolation methods.

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A Study on Image Restoration Algorithm using Standard Deviation and Cubic Spline Interpolation (표준편차 및 3차 스플라인 보간법을 이용한 영상 복원 알고리즘에 관한 연구)

  • Kwon, Se-Ik;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.9
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    • pp.1689-1696
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    • 2017
  • In the process of obtaining and transmitting image, there is degradation of image due to various noise, and there have been many active studies ongoing to remove the noise added on the images. This thesis has proposed a switching filter processing by the types of noise in order to remove the complex noise added on images. When the center value of local mask is damaged by AWGN based on the noise judgment, the threshold value is applied on standard deviation of local mask to process by applying different weight of weighted mask, and if the image is damaged by the salt and pepper noise, the local mask is subdivided into 4 directions, and processed by applying cubic spine interpolation in the direction with the least slat and pepper noise. Also, in order to evaluate the performance of proposed filter algorithm, the study conducted comparison among the existing methods and proposed filter using PSNR.

A Study on Hull Form Design Techniques Based on Graphical User Interface (그래픽 사용자 인터페이스(GUI)를 도입한 선형설계 기법에 관한 연구)

  • H. Shin;K.W. Park
    • Journal of the Society of Naval Architects of Korea
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    • v.30 no.4
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    • pp.17-22
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    • 1993
  • The intersection problem of three-dimensional free form surfaces can be solved by geometrical and numerical methods. Up to now, the subdivision technique, which is classified under the former, has been largely employed to find the cross section of ship hull form. In this paper, an algorithm is presented for intersecting ship hull form in high speed. The high speed calculation algorithm is based on simple numerical methods, such as the secant method, false position method and bisection method. The algorithm is directly applicable to depicting arbitrary ship cross sections, drawing ship lines and constructing the offset table.

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Area Measurement of Organism Image using Super Sampling and Interpolation (수퍼 샘플링과 보간을 이용한 생물조직 영상의 면적 측정)

  • Choi, Sun-Wan;Yu, Suk-Hyun
    • Journal of Korea Multimedia Society
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    • v.17 no.10
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    • pp.1150-1159
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    • 2014
  • This paper proposes a method for extracting tissue cells from an organism image by an electron microscope and getting the whole cell number and the area from the cell. In general, the difference between the cell color and the background is used to extract tissue cell. However, there may be a problem when overlapped cells are seen as a single cell. To solve the problem, we split them by using cell size and curvature. This method has a 99% accuracy rate. To measure the cell area, we compute two areas, the inside and boundary of the cell. The inside is simply calculated by the number of pixels. The cell boundary is obtained by applying super sampling, linear interpolation, and cubic spline interpolation. It improves the error rate, 18%, 19%, and 120% respectively, in comparison to the counting method that counts a pixel area as 1.

Extraction of Ganglion from Ultrasonic Images Using FCM (FCM을 이용한 초음파 영상에서 결절종 추출)

  • Lee, Yong-Gwon;Sagong, Yong-Kyu;Yim, Tae-Gyoung;Kang, Ho-Gyun;Kim, Kwang Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.93-95
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    • 2016
  • 본 논문에서는 초음파 영상에서 결절종을 추출하는 방법을 제안한다. 명암 대비가 낮은 초음파 영상에서도 정확히 추출하기 위해 퍼지 스트레칭 기법을 개선하여 명암 대비를 강조한 후에 ROI 영역을 추출한 후, 추출된 ROI 영역에 대해 FCM 알고리즘을 적용하여 양자화 한다. 양자화된 ROI 영역에서 8방향 윤곽선 추적 알고리즘을 적용하여 결절종의 후보 영역을 추출한다. 추출된 결절종의 후보 영역 중에서 면적이 가장 크거나 타원 형태를 가진 영역을 라벨링 기법을 적용하여 최종적으로 결절종 영역을 추출한다. 제안된 방법을 결절종 초음파 영상을 대상으로 실험한 결과, 기존의 결절종 추출 방법보다 제안된 방법이 결절종 영역이 비교적 정확히 추출되는 것을 실험을 통하여 확인하였다.

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Investigation Into Reflectance Characteristics of Trees Infected by Pine Wilt Disease (소나무재선충병 감염목의 분광반사 특성 구명)

  • Kim, So-Ra;Lee, Woo-Kyun;Nam, Kijun;Song, Yongho;Yu, Hangnan;Kim, Moon-Il;Lee, Jong-Yeol;Lee, Seung-Ho
    • Journal of Korean Society of Forest Science
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    • v.102 no.4
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    • pp.499-505
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    • 2013
  • Pine wilt disease has known as a serious forest disease in East Asia such as Japan, Korea and China. Fumigation and burning are considered as best way to treat infected tree at early detection. For investigate spectral reflectance characteristics of infected trees, periodic measurement has been done in both infected and non-infected trees. Infected and non-infected trees' reflectance (400 nm~2,500 nm wavelength) are detected from June to October with GER3700 spectrometer. Noise of reflectance data was corrected using cubic spline interpolation method. Reflectance was changed in most of infected trees with ranges Red (600 nm~700 nm) and Middle Infrared (1,400 nm~1,500 nm) within two months after injected by Pine Wood nematode (PWN), but there was no differences in non-infected trees. Infected and non-infected trees were compared statistically in each period. As a result, we found that a statistically significant difference was occurred at Red and Middle Infrared (MIR) 2 months after injection (p<0.05), however, no significant difference in near infrared (p>0.05). Therefore, the early detection of infested pine trees by PWN may possible through detecting the change of spectral reflectance at red and MIR.

Performance Diagnostics with Altitude Variation of Turbo-Shaft Engine using Gas Path Analysis (GPA 기법을 적용한 터보축 엔진의 고도 변화에 따른 성능진단)

  • Lee Eun-Young;Roh Tae-Seong;Choi Dong-Whan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2006.05a
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    • pp.218-221
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    • 2006
  • High reliability and minimization of operating cost are important problems for both engine-manufacturer and user in operation of gas-turbine engine, for which various performance diagnostics including a fault identification have been a major issue nowadays. Performance estimation in the off-design conditions, however, encounters problems of large errors and of poor convergence because of much required data to be evaluated. In this study, a diagnostics code of engine performance has been developed by using GPA(Gas Path Analysis). Quantitative performance deterioration of the turbo-shaft engine for SUAV has been estimated with altitude variation and is compared with that obtained by GSP code.

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Joint Connection of Stage-Discharge Rating Curves by Cubic Spline (3차 스플라인을 이용한 수위-유량관계곡선의 접점 연결)

  • Lee, Chang-Hae;Jang, Suk-Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.199-203
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    • 2008
  • 수위관측지점의 수위-유량관계는 하천단면 형태와 경사에 따라 1개의 유량곡선이 형성될 수도 있으나, 저수위, 평수위, 고수위 등 여러 개 구간의 곡선이 각각 다른 형태로 구성될 수 있다. 또한 이러한 곡선의 연결접점에서 연결이 연속적이어야 하고 부드러워야 한다고 알려져 있다. 각 수위구간에서 유도된 수위-유량관계곡선이 수위구간을 나눈 경계수위에서 곡선식이 일치하지는 경우가 종종 나타난다. 본 연구에서는 경계수위와 곡선접점이 일치하는지 여부를 판단하고 오차의 크기를 확인하기 위하여 할선법을 적용하여 Excel의 VBA로 프로그램을 작성하여 사용하였다. 한편, 수위유량곡선의 연결부에서 부드럽게 연결되는 것이 바람직 하지만, 지금까지 실무에서는 경계수위에서 기울기가 급변하는 형태의 수위-유량관계곡선을 사용하고 있다. 왜냐하면 최소자승회귀분석을 통하여 유도되는 과정에서 경계수위지점의 1차 도함수를 일치시키는 것은 현실적으로 불가능하기 때문이다. 본 연구에서는 이러한 문제를 해결하기 위하여, 회귀분석으로 지수함수의 형태로 유도된 수위-유량관계곡선으로부터 수위와 유량의 대표 값을 계산하고 이들 대표 값들을 3차 스플라인 보간법을 이용하여 1차 도함수를 접점에서 일치시키는 부드러운 연결과 함께 수위-유량관계곡선과도 잘 일치하는 새로운 대안을 제시하였다. 2006년도 한국수문조사연보(유량편)의 자료를 검토하여 문제점들을 도출하고, 본 연구에서 제안한 방법들을 적용하여 보았다.

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A Study on Performance Diagnostics of Turbo-Shaft Engine For SUAV Using Gas Path Analysis (GPA 기법을 적용한 스마트 무인기용 터보축 엔진의 성능진단에 관한 연구)

  • Lee, Eun-Young;Roh, Tae-Seong;Choi, Dong-Whan;Lee, Chang-Ho
    • Journal of the Korean Society of Propulsion Engineers
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    • v.10 no.3
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    • pp.82-89
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    • 2006
  • Recently operation and maintenance cost of gas turbine engines has been issued as a major parameter in terms of designing and manufacturing. Accordingly, the conception that the maintenance and repair of an engine has to be conducted in assembled condition has been spreaded out. However, it is possible only if the prediction of the engine performance is clearly identified. In this study, therefore, a diagnostic code of the engine performance has been developed by using GPA(Gas Path Analysis) and Fuzzy Logic which can analyze the engine performance and estimate the health parameters. The prediction of the quantitative performance deterioration of the established model of the turbo-shaft engine for SUAV has been achieved in a satisfied level compared to that obtained by GSP code.