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MCA 形态学成分分析
- 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.
MS-PiecewiseSmooth
- 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
MS-PiecewiseSmooth
- 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
Pyramidal_directional_filter_banks_and_curvelets.
- 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 smoot
EasyKrig3.0
- 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,
sancichazhi
- 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
Piecewise-Smooth-Surface
- 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
subdivide20NT
- 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 Catmu
Pudn
- 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
STRUCTURAL-BREAKS-ESTIMATION
- 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
work3
- 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
ASIFT_slides_20min_v5
- 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 apparen