Component

A Component is an implementation of certain image processing / analysis algorithms.

Each component alone does not solve a Bioimage Analysis problem.

These problems can be addressed by combining such components into workflows.

Description

An ActionBar is a simple annotated text document that has snippets of Imagej macros or Beanshell arranged into buttons. This tool is very useful when creating custom work flows integrating multiple components. Each component can be linked to a button for a more streamlined and accessible workflow.

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ActionBar screenshot
Description

## Features >The IJBlob library indentifying connected components in binary images. The algorithm used for connected component labeling is: >Chang, F. (2004). A linear-time component-labeling algorithm using contour tracing technique. Computer Vision and Image Understanding, 93(2), 206–220. doi:10.1016/j.cviu.2003.09.002 ##Reference Wagner, T and Lipinski, H 2013. IJBlob: An ImageJ Library for Connected Component Analysis and Shape Analysis. Journal of Open Research Software 1(1):e6, DOI:

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Description

A menu item in ImageJ that allows you to inspect a 3D stack with orthogonal views (XY, XZ, YZ planes). Slicing plane could be interactively moved by dragging crosses. Pedro Almada wrote a plugin to save the current orthogonal views as montage. ## ImageJ Macro Usages [Save orthogonal views | OrthoSaver](http://uic.igc.gulbenkian.pt/macros/OrthoSaver.ijm) >ImageJ's orthogonal viewer for 3D stacks doesn't let you easily save the current orthogonal view. This macro, once installed, lets users create a montage with the currently open orthogonal views and selection guides. To use it, open an image z-stack and open the orthogonal viewer. With the mouse, choose which are the sections of interest to you and without moving the mouse, press F2. You'll get a montage of the currently selected orthogonal view.

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Description

An ImageJ plugin for selecting a plane in focus among multiple slices image stack. The algorithm uses normalized variance. A short tutorial is available in the plugin web page (above).

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Description

Segmentation of Golgi.

Sample Images can be found here.

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