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<html> <body> <h2> Readme: Similarity3d metric implementations, v1.0</h2> <pre> <b>Using Metric Implementations in Eclipse</b> <hr> 1. Ensure Eclipse is installed 2. Create new project in Eclipse (File->New->Java Project) 3. Copy in lib/ dir (with jars) 4. Add in jars (R-click projectName -> Properties -> Java Build Path -> Libraries tab; foreach jar, Add External JARs -> select jar in lib/ ) 5. Copy in (and/or extract from zip) code inside src/ directory (should create comparisons/ directory tree) 6. Should be ready to edit or use with Eclipse <b>Running Various Metric Tests</b> <hr> 1. Select test.java.gov.nist.itl.versus.similarity3d.comparisons.measure.impl directory in eclipse browser (usually in left panel in "Java Browsing Perspective"). 2. Right-click tests.comparisons.measure.impl directory -> Right-click "Run As" -> Right-click "JUnit Test" 3. All the unit tests should run and display output results in the console window. The tests are in test/java/gov/nist/itl/versus/similarity3d/comparisons/measure/impl/ subdirectory. The corresponding data is in the data/ subdirectory. <b>Release History / Release Notes</b> <hr> 01/24/2013 similarity3d v 1.0 Benjamin Long Initial upload of similarity3d metric code - Created adapter(s)/loader(s) for Dicom file format - Adapted original similarity (2d) histogram and pixel measures to be able to handle 3d volumetric data. - Current comparisons are "whole-image" comparisons. - NOTES/ISSUES: - Can currently load dicom on a per-file basis or per-directory basis (in versus, this zipping directories of dicom files). - ARI/RI should only be used on binary data. </pre> </body> </html>