interpolates平面图像Z坐标点与习近平,易。 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,