Description: 分段光滑的MUMFORD--SHAH图像分割算法，MATLAB。实现了图像分割-Piecewise smooth the MUMFORD- SHAH image segmentation algorithm, MATLAB. The realization of the image segmentation Platform: |
Size: 24576 |
Author:天空 |
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Description: Abstract - A fl exible multiscale and directional representation for images is
proposed. The scheme combines directional fi lter banks with the
Laplacian pyramid to provides a sparse representation for two-
dimensional piecewise smooth signals resembling images. The
underlying expansion is a frame and can be designed to be a
tight frame. Pyramidal directional fi lter banks provide an effective
method to implement the digital curvelet transform. The regularity
issue of the iterated fi lters in the directional fi lter bank is examined.-Abstract- A fl exible multiscale and directional representation for images is
proposed. The scheme combines directional fi lter banks with the
Laplacian pyramid to provides a sparse representation for two-
dimensional piecewise smooth signals resembling images. The
underlying expansion is a frame and can be designed to be a
tight frame. Pyramidal directional fi lter banks provide an effective
method to implement the digital curvelet transform. The regularity
issue of the iterated fi lters in the directional fi lter bank is examined. Platform: |
Size: 222208 |
Author:Tin Ho |
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Description: Usage: yi=akimai(x,y,xi)
Given vectors x and y (of the same length)
and the array xi at which to interpolate,
fits piecewise cubic polynomials and returns
the interpolated values yi at xi.
Ref. : Hiroshi Akima, Journal of the ACM, Vol. 17, No. 4, October 1970,
pages 589-602.
Programmer: N. Shamsundar, University of Houston, 6/2002
Correction to lines 32-33, 9/2004, motivated by Gilford Ward,
to make routine work correctly for linear data.
Notes: Use only for precise data, as the fitted curve passes through the
given points exactly. This routine is useful for plotting a pleasingly
smooth curve through a few given points for purposes of plotting.-Usage: yi=akimai(x,y,xi)
Given vectors x and y (of the same length)
and the array xi at which to interpolate,
fits piecewise cubic polynomials and returns
the interpolated values yi at xi.
Ref. : Hiroshi Akima, Journal of the ACM, Vol. 17, No. 4, October 1970,
pages 589-602.
Programmer: N. Shamsundar, University of Houston, 6/2002
Correction to lines 32-33, 9/2004, motivated by Gilford Ward,
to make routine work correctly for linear data.
Notes: Use only for precise data, as the fitted curve passes through the
given points exactly. This routine is useful for plotting a pleasingly
smooth curve through a few given points for purposes of plotting. Platform: |
Size: 506880 |
Author:rz |
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Description: 形态学成分分析，该方法的基本思想是利用信号组成成分的形态差异，将图像分割为纹理和分片光滑部分。-Morphological Component Analysis，The basic point is that an image can be divided into texture and piecewise smooth parts by the morphological diversity among signal components. Platform: |
Size: 3276800 |
Author: |
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Description: 三次样条插值算法，能够实现数据的分段插值，拟合精度较高，曲线也比较光滑-Cubic spline interpolation algorithm to achieve the piecewise interpolation of the data, the fitting accuracy is higher, the curve is relatively smooth Platform: |
Size: 1024 |
Author:王小明 |
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Description: We present a general method for automatic reconstruction of accurate,
concise, piecewise smooth surface models from scattered
range data. The method can be used in a variety of applications
such as reverse engineering — the automatic generation of CAD
models from physical objects. Novel aspects of the method are its
ability to model surfaces of arbitrary topological type and to recover
sharp features such as creases and corners. The method has proven
to be effective, as demonstrated by a number of examples using both
simulated and real data. Platform: |
Size: 1875968 |
Author:周保兴 |
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Description: This software demonstrates algorithms for piecewise smooth subdivision surfaces described in the paper "Piecewise Smooth Subdivision Surfaces with Normal Control" by H. Biermann, A. Levin and D. Zorin. Two subdivision schemes, based on Loop and Catmull-Clark subdivision, are implemented. Platform: |
Size: 1643520 |
Author:Lin da |
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Description: A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images. Platform: |
Size: 14336 |
Author:Aynesh |
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Description: 基于遗传算法的断点估计，对非平稳信号进行分段，使其分段平稳，便于对信号的处理，尤其对于语音信号，非常常用-Based on genetic algorithms breakpoint estimates for non-stationary signal segment, making it piecewise smooth, easy signal processing, especially for the speech signal, very common Platform: |
Size: 40960 |
Author:王帅 |
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Description: 实测一组机械系统的振动信号，记录采样频率、采样点数，估计该组振动信号的均值、均方值、方差、自相关函数和功率谱，其中功率谱估计对比频率平滑与分段平滑的效率，针对分段平滑、分析不同平滑次数对功率谱估计的影响-Found a mechanical vibration signal system, the recording sampling frequency, sampling points, the estimated mean the set of vibration signals mean square value, variance, autocorrelation function and power spectrum, wherein the power spectrum estimation and comparison of frequency smoothing piecewise smooth efficiency for piecewise smooth, analyze the impact of different smooth frequency power spectrum estimation Platform: |
Size: 1024 |
Author:zhanchi |
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Description: ASIFT算法就是为了解决SIFT、ORB、SURF等特征描述算子倾斜匹配的问题。上面的这些算法可以很好的应对尺度、旋转情况下的匹配，但是对于倾斜影像的特征点匹配只能提取很少量的特征，所以作者提出ASIFT来解决这个问题。(If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras
in varying positions undergo smooth apparent deformations. These deformations are locally
well approximated by affine transforms of the image plane. In consequence the solid object
recognition problem has often been led back to the computation of affine invariant image local
features. The similarity invariance (invariance to translation, rotation, and zoom) is dealt with
rigorously by the SIFT method The method illustrated and demonstrated in this work, AffineSIFT (ASIFT), simulates a set of sample views of the initial images, obtainable by varying the
two camera axis orientation parameters, namely the latitude and the longitude angles, which
are not treated by the SIFT method. Then it applies the SIFT method itself to all images thus
generated. Thus, ASIFT covers effectively all six parameters of the affine transform.) Platform: |
Size: 6494208 |
Author:120352820 |
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