def filt_median(f, nx, ny, nz = 1, kernelshape = "BLOCK"):
"""
Name
filt_median - Calculate the median filtered image.
Input
input image
nxk, nyk, nzk
Size of the kernel on each dimension.
- They have to be odd so that the center of kernal can be well defined.
- Note: For CIRCULAR kernel, we currently only allow circle or sphere kernel, i.e., nxk and nyk must be same for 2 dimensional image and nxk, nyk and nzk must be same for 3 dimensional image.
kernelshape
Shape of the kernel
- BLOCK is for block kernel (DEFAULT);
- CIRCULAR is for circular kernel;
- CROSS is for cross kernal;
- Note: For 1-dimensional image, these three kernels degenerate into the same shape.
Output
median filtered image
"""
from EMAN2 import kernel_shape, filt_median_
if kernelshape=="BLOCK": return filt_median_(f,nx,ny,nz,kernel_shape.BLOCK)
elif kernelshape=="CIRCULAR": return filt_median_(f,nx,ny,nz,kernel_shape.CIRCULAR)
elif kernelshape=="CROSS": return filt_median_(f,nx,ny,nz,kernel_shape.CROSS)
else: sxprint("Unknown kernel shape.")
def filt_median(f, nx, ny, nz, kernelshape = "BLOCK"): """ Name filt_median - Calculate the median filtered image. Input input image nxk, nyk, nzk Size of the kernel on each dimension. - They have to be odd so that the center of kernal can be well defined. - Note: For CIRCULAR kernel, we currently only allow circle or sphere kernel, i.e., nxk and nyk must be same for 2 dimensional image and nxk, nyk and nzk must be same for 3 dimensional image. kernelshape Shape of the kernel - BLOCK is for block kernel (DEFAULT); - CIRCULAR is for circular kernel; - CROSS is for cross kernal; - Note: For 1-dimensional image, these three kernels degenerate into the same shape. Output median filtered image """ from EMAN2 import kernel_shape, filt_median_ if kernelshape=="BLOCK": return filt_median_(f,nx,ny,nz,kernel_shape.BLOCK) elif kernelshape=="CIRCULAR": return filt_median_(f,nx,ny,nz,kernel_shape.CIRCULAR) elif kernelshape=="CROSS": return filt_median_(f,nx,ny,nz,kernel_shape.CROSS) else: print "Unknown kernel shape."