Otsu merger

Description

Based on Otsu's binarization, create a new image from OTSU channel binarization. Real time: True

Usage

• Pre processing: Transform the image to help segmentation, the image may not retain it's properties. Changes here will be ignored when extracting features

Parameters

• Merge method: (merge_method): Selected merge method (default: squares)
• Channel hue behaviour: (h): Select channel hsv: hue behaviour (default: active)
• Channel saturation behaviour: (s): Select channel hsv: saturation behaviour (default: active)
• Channel lightness behaviour: (l): Select channel lab: lightness behaviour (default: active)
• Channel a_green-red behaviour: (a): Select channel lab: a_green-red behaviour (default: active)
• Channel b_blue-yellow behaviour: (b): Select channel lab: b_blue-yellow behaviour (default: active)
• Channel red behaviour: (rd): Select channel rgb: red behaviour (default: active)
• Channel green behaviour: (gr): Select channel rgb: green behaviour (default: active)
• Channel blue behaviour: (bl): Select channel rgb: blue behaviour (default: active)
• Select pseudo color map (color_map): (default: c_2)
• Normalize channel (normalize): (default: 0)
• Build mosaic (build_mosaic): Choose mosaic type to display (default: no)

Example

Source

Parameters/Code

Default values are not needed when calling function

from ipapi.ipt import call_ipt

mask = call_ipt(
    ipt_id="IptOtsuOverthinked",
    source="(TomatoSamplePlant)--(2019-07-04 10_00_00)--(TomatoSampleExperiment)--(vis-side0).jpg",
    return_type="result",
    merge_method='w_and',
    h='inverted',
    s='disabled',
    l='inverted',
    a='disabled',
    rd='inverted',
    gr='inverted',
    bl='inverted'
)

Result