Methods inherited from class ĪddNotify, finalize, getAccessibleContext, getCursorType, getExtendedState, getFrames, getIconImage, getMaximizedBounds, getMenuBar, getState, getTitle, isResizable, isUndecorated, paramString, remove, removeNotify, setCursor, setExtendedState, setIconImage, setMaximizedBounds, setMenuBar, setResizable, setState, setTitle, setUndecorated PlugInFrameįocusGained, focusLost, run, windowActivated, windowClosed, windowClosing, windowDeactivated, windowDeiconified, windowIconified, windowOpened "Fill", "Deselect", "Select All", "Combine", "Split" or "Sort" command.Įxecutes the ROI Manager "Open", "Save" or "Rename" command. ProcessWindowEvent( e)Įxecutes the ROI Manager "Add", "Add & Draw", "Update", "Delete", "Measure", "Draw", Returns the name of the selection with the specified index. ,, įields inherited from class ĬROSSHAIR_CURSOR, DEFAULT_CURSOR, E_RESIZE_CURSOR, HAND_CURSOR, ICONIFIED, MAXIMIZED_BOTH, MAXIMIZED_HORIZ, MAXIMIZED_VERT, MOVE_CURSOR, N_RESIZE_CURSOR, NE_RESIZE_CURSOR, NORMAL, NW_RESIZE_CURSOR, S_RESIZE_CURSOR, SE_RESIZE_CURSOR, SW_RESIZE_CURSOR, TEXT_CURSOR, W_RESIZE_CURSOR, WAIT_CURSORįields inherited from class īOTTOM_ALIGNMENT, CENTER_ALIGNMENT, LEFT_ALIGNMENT, RIGHT_ALIGNMENT, TOP_ALIGNMENTįields inherited from interface ĪBORT, ALLBITS, ERROR, FRAMEBITS, HEIGHT, PROPERTIES, SOMEBITS, WIDTHĪctionPerformed( e) This plugin implements the Analyze/Tools/ROI Manager command. Public class RoiManager extends PlugInFrame implements, ,, Ij. ij. All Implemented Interfaces:, ,, ,, ,, ,, PlugIn, java.io.Serializable, The easiest way to perform these functions together is by using the Run QCPA Framework tool.SUMMARY: NESTED | FIELD | CONSTR | METHOD Plugins > micaToolbox > Tools > Save ROIsĪdditionally, images can be segmented using the Naive Bayes Clustering or RNL Clustering tools, and these clusters can be converted to ROIs by running the Particle Analysis tool. This tool is started automatically whenever an mspec image is created or loaded, however it can also be started manually by going: The toolbox has built upon the basic ImageJ functionality by providing the ability to create automatically labelled and numbered ROIs with a single button click, and then to perform basic image measurements of these ROIs immediately. Valuable functions include the ability to select regions and then to either combine these or subrtract one from the other. The ImageJ manual provides detailed information on how to achieve the best selection possible. if you wanted to compare an animal to its background. QCPA components) on specific image regions. Particularly useful is the ability to do very easy and efficient selecting of Regions of Interest (ROIs) which can be used to then run pattern analyses (e.g. One of the great benefits of the micaToolbox and its components is that it runs on ImageJ which comes with an extensive suite of tools for image manipulation.
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