HSTI 0.0.9

The NEWTEC HSTI package contains fundamental functions for the data analysis of hyperspectral thermal images (HSTI).

This package contains functions used in data processing of hyperspectral images captured using a scanning Fabry-Pérot interferometer (FPI). This includes transmission simulations of the FPI itself.

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Image handling

HSTI.import_data_cube(path)

This function imports the hyperspectral thermal datacube from the raw output of the camera. The path that the function uses as input must be the one containing the 'images' directory.

HSTI.export_data_cube(cube, folder_name)

This function takes an HSTI numpy array and exports it as individual .ppm images to a folder given by folder_name.

HSTI.remove_stuck_px(cube)

This function removes the dead pixels in the bolometer by replacing them with the average of their non-zero neighbors.

HSTI.remove_outlying_px(cube, cut_off)

This function removes outlying pixel measurements of values higher than the cut off value.

HSTI.median_filter_cube(cube, kernel_size)

This function runs a median filter across the image plane. The size of the kernel must be defined.

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Preprocessing

HSTI.remove_vignette(cube)

This function takes a single HSTI as input and returns a new vignetting corrected cube.

HSTI.debend(cube, central_mirror_sep)

This function takes a single HSTI as input and returns a new spectral bending corrected cube.

HSTI.baseline(cube)

This function subtracts the mean pixel value from every band in the datacube.

HSTI.standardize(cube)

This function subtracts the mean pixel value from every band in the datacube and divides all values with the pixel standard deviation.

HSTI.normalize_cube(cube)

This function normalises the entire data cube by dividing all bands by the sum of the bands.

HSTI.normalize_pixel(cube)

This function normalises the entire data cube by dividing all bands by the sum of the bands in each individual pixel.

HSTI.sbtrct_first_band(cube)

This function subtracts the first band from the remaining bands in the datacube, effectively setting the first band to zero.

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Common analysis

HSTI.fps(points, n_seeds)

Function which distributes n_seeds (a numper of points) equally within a lists of points to obtain furthest point sampling.

The function takes in a list of points. Every entry in the list contains both the x and y coordinate of a given point. It returns the coordinates of the selected sample points.

HSTI.voronoi(array_2D, n_seeds)

This function .

HSTI.mse(lst1, lst2)

This function returns the mean square error (MSE) between two lists of same length.

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FPI Simulation

HSTI.fpi_sim()

This function .

HSTI.fpi_sim_matrix()

This function .

HSTI.fpi_sim_matrix_angular()

This function .

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Contact

For bug reports or other questions please contact [e-mail] or [e-mail].