resortqert.blogg.se - Jmicrovision 1.2.7 windows

#Jmicrovision 1.2.7 windows mac os x#
#Jmicrovision 1.2.7 windows install#
#Jmicrovision 1.2.7 windows archive#
#Jmicrovision 1.2.7 windows software#

It is also possible to launch JMicroVision by using the Java command (see Generic or Other Platforms Instructions). Start the Configuration Wizard: In the directory of JMicroVision 1.2.7, type.

Then, set the execute permissions to the directory: type chmod -R u+x JMicroVision-v127-solarisx86 in a Terminal screen.

#Jmicrovision 1.2.7 windows mac os x#

Requires Mac OS X 10.4 (Tiger) or later and J2SE 5.0 must be installed.

Click on the link to save "JMicroVision-v127-mac.zip".

#Jmicrovision 1.2.7 windows archive#

Extract the application from the archive and use it as a common OS X application.

Note: For 10.7 and later, Java must be installed on your System ( for Lion). 1) Open the Applications folder in Finder, find the app and choose show package contents. System/Library/Frameworks/amework/Versions/A/Resources/MacOS/JavaApplicationStub. 3) Copy it into the JMicroVision 1.2.7.app/Contents/MacOS folder from step 2. Launch JMicroVision: Double-click JMicroVision 1.2.7. Start the Configuration Wizard: Does not exist. To modify the parameters of Java Runtime, control-click on JMicroVision 1.2.7 in the Finder and choose “Show Package Contents”, edit the Info.pList file located in the folder “Contents”.

#Jmicrovision 1.2.7 windows install#

Note: You need to install a Java 1.5.0 (or later) virtual machine (JRE) or later and JAI 1.1.2 (for JRE) or later before launching JMicroVision. Java -cp "JMicroVision.jar:lib/graphics_all.jar:lib/jh.jar:lib/help.jar:lib/Jama-1.0.2.jar" -Xms64m -Xmx384m Launch JMicrovision: Start a console, go to the directory which contains all the extracted files and type the java command (refer to the java documentation for the platform specific use of the java command).

Any platforms supporting Java 1.5 and JAI ( Java Advanced Imaging), but Windows, Linux, Solaris and Mac OS X (partially) have a native acceleration that improves the performance.

256 MB RAM (512 MB recommended for handling large images).

60-90 MB available disk space (includes Java Virtual Machine).

Shneiderman B, Plaisant C (2004) Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition).The initial Java heap size sets the amount of memory that is initially reserved for the application, while the maximum Java heap size determines the largest amount of memory the application will be allowed to consume. Shand SJ (1916) A recording micrometer for rock analysis. Verhandlungen der Kaiserlich-Königslich geologischen Reichsanstalt 143–175 Rosiwal A (1898) Über geometrische gesteinsanalysen, ein einfacher weg zur ziffermässigen festellung des quantitätsverhältnisses der mineralbestandtheile egmengter gesteine. Mock K, Amato J, Bertmaring J (2012) GeoPixelCounter (Version 1.0).

Medyckyj-Scott D, Hearnshaw HM (1993) Human Factors in Geographical Information Systems.

#Jmicrovision 1.2.7 windows software#

Lamprecht MR, Sabatini DM, Carpenter AE (2007) Cell Profiler™: free, versatile software for automated biological image analysis. Berkshire Encyclopedia of Human-Computer Interaction. Higgins M (2000) Measurement of crystal size distributions. A semiautomated image analysis technique. Gatlin CL, Schaberg ES, Jordan WH, Kuyatt BL, Smith WC (1993) Point counting on the Macintosh. Am Mineral 34:1–11ĭelesse MA (1848) Procédé méchanique pour determiner la composition des roches. Morgan Kaufmann Publishers IncĬhayes F (1949) A simple point counter for thin section analysis. We compare the time it takes to complete a session of point counting and the tools' usability.Ĭard SK, Mackinlay JD, Shneiderman B (1999) Readings in information visualization: using vision to think. A comparison between this application and similar tools through users' experiences is provided. It provides visual tools like distortion techniques, overview + detail, and statistics to assist the technique. In this contribution, we introduce an interactive visualization application called Rock.AR that reduces the amount of time required to apply this technique and simplify its work flow. Point counting in thin sections is normally conducted through mechanical or electromechanical devices attached to a microscope such devices are very expensive, offer limited functionality, and are very time consuming. Although point counting is very time consuming, it is of common use in several domains including geology, biology, medicine, and materials sciences, among others. Conventionally, this quantification has been determined by point counting performed on thin sections. An example of this is the petrographic study of rock samples, i.e., the quantification of its mineral components and the percentages of each phase present in it. In the field of geology, as in many other fields, a common problem is the analysis of 2D sections.