Image from distances

Description

Build an image from distance calculation 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

• Activate tool (enabled): Toggle whether or not tool is active (default: 1)
• Channel (channel_1): (default: h)
• Transformation applied to channel 1 (transformation_1): (default: none)
• Channel (channel_2): (default: none)
• Transformation applied to channel 2 (transformation_2): (default: none)
• Channel (channel_3): (default: none)
• Transformation applied to channel 3 (transformation_3): (default: none)
• Distance origin (origin): Can be zero, the mean or median colour or a selected one. (default: zero)
• Distance (distance): (default: l1)
• Target IPT (tool_target): no clue (default: none)
• Name of ROI to be used (roi_names): Operation will only be applied inside of ROI (default: )
• ROI selection mode (roi_selection_mode): (default: all_linked)
• Select pseudo color map (color_map): (default: c_2)
• Overlay text on top of images (text_overlay): Draw description text on top of images (default: 0)
• Displayed output (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

image = call_ipt(
    ipt_id="IptThresholdDistance",
    source="(TomatoSamplePlant)--(2019-07-04 10_00_00)--(TomatoSampleExperiment)--(vis-side0).jpg",
    return_type="result",
    channel_2='b',
    channel_3='gr',
    origin='blue_violet',
    distance='l2'
)

Result