Adaptive threshold

Description

Perform a adaptive threshold.
Morphology operation can be performed afterwards.

Real time: True

Usage

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

Parameters

• Activate tool (enabled): Toggle whether or not tool is active (default: 1)
• Select source file type (source_file): no clue (default: source)
• Channel (channel): (default: h)
• Invert mask (invert_mask): Invert result (default: 0)
• Max value (max_value): Non-zero value assigned to the pixels for which the condition is satisfied (default: 255)
• Adaptive method (method): Adaptive thresholding algorithm to use, see cv::AdaptiveThresholdTypes (default: gauss)
• Block size (block_size): Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on. (default: 3)
• C (C): Constant subtracted from the mean or weighted mean (see the details below). Normally, it is positive but may be zero or negative as well. (default: 2)
• Build mosaic (build_mosaic): If true source and result will be displayed side by side (default: 0)
• Median filter size (odd values only) (median_filter_size): (default: 0)
• 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="IptThresholdAdaptive",
                source="arabido_sample_plant.jpg",
                invert_mask=1,
                block_size=43,
                morph_op='erode')

Result