Niblack binarization

Description

Niblack binarization: From skimage - Applies Niblack local threshold to an array.

A threshold T is calculated for every pixel in the image using the following formula:
T = m(x,y) - k * s(x,y)
where m(x,y) and s(x,y) are the mean and standard deviation of pixel (x,y) neighborhood defined by a
rectangular window with size w times w centered around the pixel. k is a configurable parameter that
weights the effect of standard deviation.
Real time: False

Usage

• Threshold: Creates a mask that keeps only parts of the image

Parameters

• Channel (channel): (default: l)
• Invert mask (invert_mask): Invert result (default: 0)
• Window size (window_size): (default: 25)
• k threshold formula (k): (default: 80)
• Morphology operator (morph_op): (default: none)
• Kernel size (kernel_size): (default: 3)
• Kernel shape (kernel_shape): (default: ellipse)
• Iterations (proc_times): (default: 1)
• Overlay text on top of images (text_overlay): Draw description text on top of images (default: 0)

Example

Source

Parameters/Code

Default values are not needed when calling function

from ipapi.ipt import call_ipt

mask = call_ipt(ipt_id="IptNiblack",
                source="arabido_sample_plant.jpg",
                window_size=57,
                k=0)

Result