ximage.util

Utility module for ximage

Functions:

load_raw(top, index_start)	Load a stack of tiff images.
shutter_off(image[, alpha])	Finds the first image with the shutter closed.
particle_bed_location(image)	Finds the image row marking the location of the particle bed.
laser_on(rdata, particle_bed_ref[, alpha])	Function description.
scale_to_one(ndata)	Scale a stack of images between [0,1].
sobel_stack(ndata)	Applies sobel filter to a stack of images.
label(ndata[, blur_radius, alpha])	Counts the number of particles in a stack of images.

ximage.util.load_raw(top, index_start)

Load a stack of tiff images.

Parameters:

• top (str) – Top data directory.
• index_start (int) – Image index start.

Returns:

ndarray – 3D stack of images.

ximage.util.shutter_off(image, alpha=0.7)

Finds the first image with the shutter closed.

Parameters:

• image (ndarray) – 3D stack of images.
• alpha (float) – Threshold level.

Returns:

int – Index of the first image with the shutter closed.

ximage.util.particle_bed_location(image)

Finds the image row marking the location of the particle bed.

Parameters:image (ndarray) – 2D image. Returns:int – Image row marking the location of the particle bed.

ximage.util.laser_on(rdata, particle_bed_ref, alpha=1.0)

Function description.

Parameters:

• rdata (ndarray) – 3D stack of images.
• particle_bed_ref (int) – Image row marking the location of the particle bed.
• alpha (float) – Threshold level.

Returns:

int – Index of the first image with the laser on.

ximage.util.scale_to_one(ndata)

Scale a stack of images between [0,1].

Parameters:ndata (ndarray) – 3D stack of images. Returns:ndarray – 3D stack of images.

ximage.util.sobel_stack(ndata)

Applies sobel filter to a stack of images.

Parameters:ndata (ndarray) – 3D stack of images. Returns:ndarray – 3D stack of images.

ximage.util.label(ndata, blur_radius=1.0, alpha=1)

Counts the number of particles in a stack of images.

Parameters:

• ndata (ndarray) – 3D stack of images.
• blur_radius (float) – Gaussian blur radius.
• alpha (float) – Threshold level.

Returns:

ndata, nr_objects – 3D stack of images, number of particles per image.