Page history Edit this page How do I edit this website?
Original MediaWiki pages:  12

LinearDistance

The content of this page has not been vetted since shifting away from MediaWiki. If you’d like to help, check out the how to help guide!

Name

Linear Distance

Software

ImageJ

Author

Simon Klein

Maintainer

Simon Klein

Source

on GitHub

Status

Alpha

Category

Plugins


Plugin for ImageJ to measure linear distances in images in X and Y direction. At this time, two methods are implemented: First, the automatic scan of a binarized, two phased image. Second, the interactive placement of marks which will be measured afterwards (Linear Interception).

More information on github.

For automatic installation in Fiji, add update site SimonKlein.

LinearDistance

Plugin for ImageJ to measure linear distances in binary images in X and Y direction. It scans an image linewise (with a given skip distance) in both directions and finds stripes of only black or white and calculates the mean length of these stripes.

Application

Used for the calcuation of mean free paths in a two phase material.

Dependecies

tested with ImageJ 1.50e and Fiji

Installation

Copy the File LinearDistance_.jar in the plugins/jars folder. When using Fiji, you can simply add the update site LinearDistance.

Usage

Open one or more binary (black/white) images or binarize an image. Start the plugin by selecting PluginsAnalyzeMeasure linear distances and select the results you want to obtain.

Available Options

Option Description
Apply image calibration Applies the set scale of each image to the results (by multiplying it)
Step distance between measures The number of pixels/units to skip between the analyzed lines
Calibrate step distance Skip units instead of pixels
Measure all opened images When not selected, only the active image will be analyzed
Standard Deviations Print standard deviations for all measurements
Numbers Print the number of counted stripes
Both Phases Calculates also the mean of both (all) Phases (Black and White)

Source

Source available at https://github.com/kleinsimon/LinearDistance/