Enum AdaptiveMethod 

pub enum AdaptiveMethod {
    Mean,
    Gaussian,
}

Apply adaptive thresholding

Adaptive thresholding computes a local threshold for each pixel based on the statistics of its neighborhood.

Arguments

• image - Input 2D array
• block_size - Size of the neighborhood for calculating local threshold
• method - Thresholding method (‘mean’ or ‘gaussian’)
• c - Constant subtracted from the local threshold

Returns

• Result containing the binary mask

Example

use scirs2_core::ndarray::array;
use scirs2_ndimage::segmentation::{adaptive_threshold, AdaptiveMethod};

let image = array![
    [0.1, 0.2, 0.7],
    [0.3, 0.8, 0.1],
    [0.7, 0.4, 0.2],
];

let mask = adaptive_threshold(&image, 3, AdaptiveMethod::Mean, 0.05).unwrap();

Variants

Mean

Gaussian

Trait Implementations

impl Clone for AdaptiveMethod

fn clone(&self) -> AdaptiveMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for AdaptiveMethod

impl Debug for AdaptiveMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.