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  • computed tomography 三維圖像重建算法

    computed tomography 三維圖像重建算法,該算法在二維ART基礎上改進所得

    標簽: tomography computed 三維圖像 重建算法

    上傳時間: 2014-01-15

    上傳用戶:jichenxi0730

  • 用于computed tomography 的算法測試計算投影數(shù)據(jù)的simpson積分函數(shù)

    用于computed tomography 的算法測試計算投影數(shù)據(jù)的simpson積分函數(shù)

    標簽: tomography computed simpson 算法

    上傳時間: 2015-06-05

    上傳用戶:dave520l

  • CT圖像金屬偽影消除技術的文獻。共3篇。 Reduction of Metal Artifacts in X-Ray computed Tomography XrayCT_artifacts

    CT圖像金屬偽影消除技術的文獻。共3篇。 Reduction of Metal Artifacts in X-Ray computed Tomography XrayCT_artifacts Reduction of CT Artifacts Caused by Metallic Implants 由Willi A. Kalender, PhD Robert Hebel, Dipl Phys Johannes Ebersberger, Dr rer nat撰寫

    標簽: XrayCT_artifacts Tomography Reduction Artifacts

    上傳時間: 2013-12-06

    上傳用戶:腳趾頭

  • computed distribution of the magnetic field Hz within an wvolving 2D dielectric mircopille with ini

    computed distribution of the magnetic field Hz within an wvolving 2D dielectric mircopille with initial r=667nm run in COMSOL with Matlab

    標簽: distribution dielectric mircopille computed

    上傳時間: 2013-12-09

    上傳用戶:zaizaibang

  • 基于FPGA的工業(yè)X-CT二代掃描控制系統(tǒng)研究

    工業(yè)X-CT(X-ray computed Tomography)無損檢測技術是以不損傷或者破壞被檢測對象的一種高新檢測技術,被譽為最佳的無損檢測手段,在無損檢測領域日益受到人們的青睞。近年來,各國都在投入大量的人力、物力對其進行研究與開發(fā)。 目前,工業(yè)CT主要采用第二代和第三代掃描方式。在工業(yè)CT第三代掃描方式中,掃描系統(tǒng)僅作“旋轉(zhuǎn)”運動,控制系統(tǒng)比較簡單。對此,我國已取得了可喜的成績。然而,對工業(yè)CT系統(tǒng)中的二代掃描運動控制系統(tǒng),即針對“平移+旋轉(zhuǎn)”運動的控制系統(tǒng)的研究,我國已有采用,但與發(fā)達國家相比,還存在較大的差距。二代掃描方式與其它掃描方式相比,具有對被檢物的尺寸沒有要求,且能夠?qū)Ω信d趣的檢測區(qū)域進行局部掃描的獨特優(yōu)點。同時X光源的射線出束角較?。ㄒ话阈∮?0°),因此在工業(yè)X-CT系統(tǒng)主要采用二代掃描運動控制。有鑒于此,本論文結合有關科研項目,開展了工業(yè)X-CT二代掃描控制系統(tǒng)的研究。 論文首先介紹了工業(yè)X-CT系統(tǒng)的工作原理和各種掃描運動控制方式的特點,闡述了開展二代掃描控制的研究目的和意義。其次,根據(jù)二代掃描控制的特點,提出了“在優(yōu)先滿足工業(yè)X-CT二代掃描控制的基礎上,力求實現(xiàn)對工業(yè)X-CT掃描運動的通用控制,使其能同時支持一、三代掃描方式”的設計思想。據(jù)此,研究確立了基于單片機AT89LV52及FPGA芯片EP1C3T100C8的運動控制架構,以實現(xiàn)二代掃描控制系統(tǒng)的設計方案。論文詳細介紹了可編程邏輯器件FPGA的工作原理和開發(fā)流程,并對其相關開發(fā)環(huán)境QuartusII4.1作了闡述。結合運動控制系統(tǒng)的硬件設計,詳細介紹了各功能模塊的具體設計過程,給出了相關的設計原理框圖和實際運行波形。并制作了相應的PCB板,調(diào)試了整個硬件控制系統(tǒng)。最后,論文還詳細研究了利用VisualC++6.0來完成上位機控制軟件的設計,給出了運動控制主界面及掃描運動控制功能軟件設計的流程圖。 論文對整個運動控制系統(tǒng)采用的經(jīng)濟型的開環(huán)控制技術所帶來的不利影響,分析研究了增加步進電機的細分數(shù)以提高掃描精度的可能性,并對所研究的控制系統(tǒng)在調(diào)試過程中出現(xiàn)的一些問題及解決方案作了簡要的分析,提出了一些完善方法。

    標簽: FPGA X-CT 工業(yè) 掃描控制

    上傳時間: 2013-04-24

    上傳用戶:stella2015

  • function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) %CUM2X Cross-covariance % y_cum = cum2x

    function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) %CUM2X Cross-covariance % y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag) % x,y - data vectors/matrices with identical dimensions % if x,y are matrices, rather than vectors, columns are % assumed to correspond to independent realizations, % overlap is set to 0, and samp_seg to the row dimension. % maxlag - maximum lag to be computed [default = 0] % samp_seg - samples per segment [default = data_length] % overlap - percentage overlap of segments [default = 0] % overlap is clipped to the allowed range of [0,99].

    標簽: cum2x y_cum Cross-covariance function

    上傳時間: 2015-09-08

    上傳用戶:xieguodong1234

  • Each arc of a binary-state network has good/bad states. The system reliability, the probability tha

    Each arc of a binary-state network has good/bad states. The system reliability, the probability that source s communicates with sink t, can be computed in terms of minimal paths (MPs). An MP is an ordered sequence of arcs from s to t that has no cycle. Note that a minimal path is different from the so-called minimum path. The latter is a path with minimum cost.

    標簽: binary-state reliability probability network

    上傳時間: 2015-12-04

    上傳用戶:xcy122677

  • Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the princ

    Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal % component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA contains the variances of each of the principal components. This is computed using the eigenvalue and eigenvector decomposition of X.

    標簽: Probabilistic Components Principal Analysis

    上傳時間: 2016-04-28

    上傳用戶:qb1993225

  • OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented i

    OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

    標簽: OTSU segmentation Gray-level segmented

    上傳時間: 2017-04-24

    上傳用戶:yuzsu

  • The frequency domain plays an important role in image processing to smooth, enhance, and detect edg

    The frequency domain plays an important role in image processing to smooth, enhance, and detect edges of images. Although image data typically does not include imaginary values, the fast Fourier transform (FFT) has been used for obtaining spectra. In this paper, the fast Hartley transform (FHT) is used to transform two-dimensional image data. Because the Hartley transform is real valued, it does not require complex operations. Both spectra and autocorrelations of two-dimensional ultrasound images of normal and abnormal livers were computed.

    標簽: processing frequency important enhance

    上傳時間: 2014-01-08

    上傳用戶:1051290259

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