Adaptive Thresholding
Python Functions
- actag.adaptive_threshold.adaptive_threshold(img: ndarray, kernel_radius: int, offset: float) ndarray
Adaptive thresholding for binarizing 2D images.
- Parameters:
img (np.ndarray) – 2D image.
kernel_radius (int) – Radius of the kernel.
offset (float) – Offset value.
- Returns:
Binarized image.
- Return type:
np.ndarray
- actag.adaptive_threshold.adaptive_threshold_multiprocessed(img: ndarray, kernel_radius: int, offset: float, num_processes: int | None = None) ndarray
Same as
adaptive_threshold(), but leverages multiprocessing to speed up computation time.- Parameters:
img (np.ndarray) – 2D image.
kernel_radius (int) – Radius of the kernel.
offset (float) – Offset value.
num_processes (int, optional) – The number of processes to use. The default is
None, which will attempt to use the maximum number of CPUs available, as reported by the OS.
- Returns:
Binarized image.
- Return type:
np.ndarray
- actag.adaptive_threshold.divide_array(arr_len: int, num_sections: int) list
Divides an array into a specified number of sections and returns a list containing the start and end indices for each section.
- Parameters:
arr_len (int) – Length of the array.
num_sections (int) – Number of sections to divide the array into.
- Returns:
List containing the start and end indices for each section.
- Return type:
list
- actag.adaptive_threshold.threshold_sub_image(sub_img: ndarray, kernel_radius: int, offset: float) ndarray
Binarizes a sub-image using adaptive thresholding.
- Parameters:
sub_img (np.ndarray) – Sub-image to binarize.
kernel_radius (int) – Radius of the kernel.
offset (float) – Offset value.
- Returns:
Binarized sub-image.
- Return type:
np.ndarray
Rust Functions
- actag.rust_impl.adaptive_threshold()
Rust equivalent of
actag.adaptive_threshold.adaptive_threshold().- Parameters:
data (Vec<Vec<i32>>) – 2D image.
radius (usize) – Radius of the kernel.
offset (f64) – Offset value.
- Returns:
Binarized image.
- Return type:
Vec<Vec<i32>>
- actag.rust_impl.adaptive_threshold_multithread()
Rust equivalent of
actag.adaptive_threshold.adaptive_threshold_multiprocessed().- Parameters:
data (Vec<Vec<i32>>) – 2D image.
radius (usize) – Radius of the kernel.
offset (f64) – Offset value.
cpu_option (Option<usize>) – Number of CPUs to use. If
None, all available CPUs will be used.
- Returns:
Binarized image.
- Return type:
Vec<Vec<i32>>