`image_modifier.slice_image`

Module Contents

Functions

`image_break_into_slices`(image, horizontal_slices, ...)	Slices an image into smaller sections (slices) based on specified horizontal and vertical divisions.
`slice_image`(image[, horizontal_slices, ...])	Visualizes slices of an image in a grid format using matplotlib and returns the slices.

image_modifier.slice_image.image_break_into_slices(image, horizontal_slices, vertical_slices)[source]

Slices an image into smaller sections (slices) based on specified horizontal and vertical divisions.

This function segments an image array into smaller rectangular portions. The image is divided into a grid defined by the number of horizontal and vertical slices. Each portion of the grid corresponds to a slice.

Parameters:

image (numpy.ndarray) – The image to be divided, represented as a 3D RGB array.
horizontal_slices (int) – The number of slices along the horizontal axis.
vertical_slices (int) – The number of slices along the vertical axis.

Returns:

A list where each sublist contains numpy arrays representing horizontal slices. The overall structure represents the entire sliced image.

Return type:

list[list[numpy.ndarray]]

Example:

Given a numpy array representing an 8x8 pixel image:

>>> slices = image_break_into_slices(image, 2, 2)

This will return a list with 4 sublists (2x2 grid), each sublist containing a numpy array for a 4x4 pixel slice.

image_modifier.slice_image.slice_image(image, horizontal_slices=2, vertical_slices=2, display_images=True)[source]

Visualizes slices of an image in a grid format using matplotlib and returns the slices.

This function first uses image_break_into_slices to divide the image into smaller sections and then displays these slices in a grid layout using matplotlib. Each slice is shown in a subplot with its position in the grid.