文件名称:mirt2D_mexinterp
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interpolates平面图像Z坐标点与X坐标。 Z是假定被定义在定期间隔1点:1:M,N,N][M,地方=大小(Z)。
如果兮,易建联价值观是图像边界,把外面的NaNs在《紫。
Matlab函数是相似的土著
INTERP2字(Z =、烯、彝族、“线性”、南),
但多的主人。如果Z是矢量阵二维图像三维价值),然后反复讨论,interpolates:Z(:1)、Z(,,)、2)::::Z(,,,3),. .等。这部作品对每个图像interpolate速度比独立,例如
字,(1)::,Z(= INTERP2(1):、:、、烯,易建联)
字,(2):= INTERP2:,(Z(::,2),习近平,易建联)
字,(3)::,Z(= INTERP2,(3)::、、烯,易建联)
额外的速度增益系数从precomputation插值的,这是相同的所有图像。一套图像插值是有用的,如用于图像配准的,当一个人必须interpolate形象和梯度矢量价值或如RGB图像。
局限性:只工作对于图像在一个规则的网格,并且只有在线性插值方法。
出门的时候,可别忘了编译第一:
mirt2D_mexinterp.cpp mex
享受吧!多见于我的主页。
https://sites.google.com/site/myronenko/
- ZI = mirt2D_mexinterp(Z,XI,YI) interpolates 2D image Z at the points with coordinates XI,YI. Z is assumed to be defined at regular spaced points 1:N, 1:M, where [M,N]=size(Z).
If XI,YI values are outside the image boundaries, put NaNs in ZI.
The function is similar to Matlab s native
ZI = INTERP2(Z,XI,YI, linear ,NaN),
but is much master. If Z is vector valued 2D image (3D array), then iteratively interpolates Z(:,:,1), Z(:,:,2),Z(:,:,3),.. etc. This works faster than to interpolate each image independently, such as
ZI(:,:,1) = INTERP2(Z(:,:,1),XI,YI)
ZI(:,:,2) = INTERP2(Z(:,:,2),XI,YI)
ZI(:,:,3) = INTERP2(Z(:,:,3),XI,YI)
The extra speed gain is from the precomputation of coefficients for interpolation, which are the same for all images. Interpolation of a set of images is useful, e.g. for image registration, when one has to interpolate image and its gradients or for vector valued images such as RGB.
Limitations: only works for images on a regular grid,
如果兮,易建联价值观是图像边界,把外面的NaNs在《紫。
Matlab函数是相似的土著
INTERP2字(Z =、烯、彝族、“线性”、南),
但多的主人。如果Z是矢量阵二维图像三维价值),然后反复讨论,interpolates:Z(:1)、Z(,,)、2)::::Z(,,,3),. .等。这部作品对每个图像interpolate速度比独立,例如
字,(1)::,Z(= INTERP2(1):、:、、烯,易建联)
字,(2):= INTERP2:,(Z(::,2),习近平,易建联)
字,(3)::,Z(= INTERP2,(3)::、、烯,易建联)
额外的速度增益系数从precomputation插值的,这是相同的所有图像。一套图像插值是有用的,如用于图像配准的,当一个人必须interpolate形象和梯度矢量价值或如RGB图像。
局限性:只工作对于图像在一个规则的网格,并且只有在线性插值方法。
出门的时候,可别忘了编译第一:
mirt2D_mexinterp.cpp mex
享受吧!多见于我的主页。
https://sites.google.com/site/myronenko/
- ZI = mirt2D_mexinterp(Z,XI,YI) interpolates 2D image Z at the points with coordinates XI,YI. Z is assumed to be defined at regular spaced points 1:N, 1:M, where [M,N]=size(Z).
If XI,YI values are outside the image boundaries, put NaNs in ZI.
The function is similar to Matlab s native
ZI = INTERP2(Z,XI,YI, linear ,NaN),
but is much master. If Z is vector valued 2D image (3D array), then iteratively interpolates Z(:,:,1), Z(:,:,2),Z(:,:,3),.. etc. This works faster than to interpolate each image independently, such as
ZI(:,:,1) = INTERP2(Z(:,:,1),XI,YI)
ZI(:,:,2) = INTERP2(Z(:,:,2),XI,YI)
ZI(:,:,3) = INTERP2(Z(:,:,3),XI,YI)
The extra speed gain is from the precomputation of coefficients for interpolation, which are the same for all images. Interpolation of a set of images is useful, e.g. for image registration, when one has to interpolate image and its gradients or for vector valued images such as RGB.
Limitations: only works for images on a regular grid,
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下载文件列表
license.txt
mirt2D_mexinterp/
mirt2D_mexinterp/mirt2D_mexinterp.cpp
mirt2D_mexinterp/mirt2D_mexinterp.m
mirt2D_mexinterp/
mirt2D_mexinterp/mirt2D_mexinterp.cpp
mirt2D_mexinterp/mirt2D_mexinterp.m
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