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ModularImageAnalysis (MIA) is an ImageJ plugin which provides a modular framework for assembling image and object analysis workflows. Detected objects can be transformed, filtered, measured and related. Analysis workflows are batch-enabled by default, allowing easy processing of high-content datasets.

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/*
 * "Concave" hulls by Glenn Hudson and Matt Duckham
 *
 * Source code downloaded from https://archive.md/l3Un5#selection-571.0-587.218 on 3rd November 2021.
 *
 * - This software is Copyright (C) 2008 Glenn Hudson released under Gnu Public License (GPL). Under 
 *   GPL you are free to use, modify, and redistribute the software. Please acknowledge Glenn Hudson 
 *   and Matt Duckham as the source of this software if you do use or adapt the code in further research 
 *   or other work. For full details of GPL see http://www.gnu.org/licenses/gpl-3.0.txt.
 * - This software comes with no warranty of any kind, expressed or implied.
 * 
 * A paper with full details of the characteristic hulls algorithm is published in Pattern Recognition.
 * Duckham, M., Kulik, L., Worboys, M.F., Galton, A. (2008) Efficient generation of simple polygons for
 * characterizing the shape of a set of points in the plane. Pattern Recognition v41, 3224-3236
 *
 * The software was developed by Glenn Hudson while working with me as an RA. The characteristic shapes 
 * algorithm is collaborative work between Matt Duckham, Lars Kulik, Antony Galton, and Mike Worboys.
 * 
 */

package signalprocesser.voronoi.eventqueue;

import signalprocesser.voronoi.VPoint;

public class VSiteEvent extends VEvent {
    
    /* ***************************************************** */
    // Variables

    private VPoint point;
    
    public double a;
    public double b;
    public double c;
    
    /* ***************************************************** */
    // Constructors
    
    public VSiteEvent(VPoint _point) {
        if ( _point==null ) {
            throw new IllegalArgumentException("Point for siteevent cannot be null");
        }
        this.point = _point;
    }

    /* ***************************************************** */
    // Methods
    
    public void calcParabolaConstants(double sweepline) {
        double yminussweepline = ( point.y - sweepline );
        a = 0.5 / yminussweepline;
        b = -1.0 * point.x / yminussweepline;
        c = (point.x * point.x) / (2.0 * yminussweepline) + 0.5 * yminussweepline;
    }
    
    public int getYValueOfParabola(int x) {
        return (int) (( a * (double)x + b ) * (double)x + c);
    }
    
    public int getYValueOfParabola(double x) {
        return (int) (( a * x + b ) * x + c);
    }
    
    /* ***************************************************** */
    // Abstract Methods
    
    public int getX() { return point.x; }
    public int getY() { return point.y; }
    
    public VPoint getPoint() { return point; }
    
    public boolean isSiteEvent() { return true; }
    
    public boolean isCircleEvent() { return false; }
    
    /* ***************************************************** */
    // To String Method
    
    public String toString() {
        return "VSiteEvent (" + point.x + "," + point.y + ")";
    }
    
    /* ***************************************************** */
}




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