All Downloads are FREE. Search and download functionalities are using the official Maven repository.

com.github.ojil.algorithm.LinefitHough Maven / Gradle / Ivy

There is a newer version: 0.0.11
Show newest version
/*
 * LinefitHough.java
 *
 * Created on September 9, 2006, 1:15 PM
 *
 * To change this template, choose Tools | Template Manager
 * and open the template in the editor.
 *
 * Copyright 2007 by Jon A. Webb
 *     This program is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU Lesser General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU Lesser General Public License for more details.
 *
 *    You should have received a copy of the Lesser GNU General Public License
 *    along with this program.  If not, see .
 *
 */

package com.github.ojil.algorithm;
import java.util.Enumeration;
import java.util.Vector;

import com.github.ojil.core.Error;
import com.github.ojil.core.Point;

/**
 * Finds a line in an array of points using Hough transform. Not a pipeline
 * stage. Returns the most likely line as slope and Y-intercept through
 * member access functions.
 * @author webb
 */
public class LinefitHough {
    /** @var cHoughAccum the Hough accumulator array */
    Integer[][] cHoughAccum;
    /** @var cCount the number of points on the line that was found */
    int cCount = 0;
    /** @var cMaxSlope the maximum allowable slope, times 256 */
    final int cMaxSlope;
    /** @var cMaxY the maximum allowable y-intercept */
    final int cMaxY;
    /** @var cMinSlope the minimum allowable slope, times 256 */
    final int cMinSlope;
    /** @var cMinY the minimum allowable y-intercept */
    final int cMinY;
    /** @var cSlope the slope of the line that was found, times 256 */
    int cSlope;
    /** @var cSteps the number of steps to take from cMinSlope to cMaxSlope */
    final int cSteps;
    /** @var cYInt the y-intercept of the line that was found */
    int cYInt;
    
    /** Creates a new instance of LinefitHough 
     *
     * @param cMinY minimum Y value
     * @param cMaxY maximum Y value
     * @param cMinSlope minimum slope (multiplied by 256)
     * @param cMaxSlope maximum slope (multiplied by 256)
     * @param cSteps steps taken in Hough accumulator between minimum and
     * maximum slope.
     * @throws com.github.ojil.core.Error if Y or slope range is empty, or
     * cSteps is not positive.
     */
    public LinefitHough(
            int cMinY, 
            int cMaxY, 
            int cMinSlope, 
            int cMaxSlope, 
            int cSteps) throws com.github.ojil.core.Error {
        if (cMaxY < cMinY) {
            throw new Error(
                			Error.PACKAGE.ALGORITHM,
                			ErrorCodes.PARAMETER_RANGE_NULL_OR_NEGATIVE,
                			new Integer(cMinY).toString(),
                			new Integer(cMaxY).toString(),
                			null);
        }
        this.cMinY = cMinY;
        this.cMaxY = cMaxY;
        if (cMaxSlope < cMinSlope) {
            throw new Error(
                			Error.PACKAGE.ALGORITHM,
                			ErrorCodes.PARAMETER_RANGE_NULL_OR_NEGATIVE,
                			new Integer(cMinSlope).toString(),
                			new Integer(cMaxSlope).toString(),
                			null);
        }
        if (cSteps <= 0) {
            throw new Error(
                			Error.PACKAGE.ALGORITHM,
                			ErrorCodes.PARAMETER_OUT_OF_RANGE,
                			new Integer(cSteps).toString(),
                			new Integer(1).toString(),
                			new Integer(Integer.MAX_VALUE).toString());
        }
        this.cMinSlope = cMinSlope;
        this.cMaxSlope = cMaxSlope;
        this.cSteps = cSteps;
    }
    
    /** Add a new point to the Hough accumulator array. We increment along the 
     * line in the array
     * from (cMinSlope>>8, yIntStart) to (cMaxSlope>>8, yIntEnd), where
     * yIntStart is the y-intercept assuming the slope is at the minimum,
     * and yIntEnd is the y-intercept assuming the slope is maximal.
     *
     * @param p the point to add to the accumulator array
     */
    private void addPoint(Point p) {
        // compute initial intercept. cMinSlope is the real slope minimum
        // * 256.
        int yIntStart = (p.getY() * 256 - p.getX() * this.cMinSlope) / 256;
        // compute final intercept. cMaxSlope is the real slope maximum
        // * 256.
        int yIntEnd = (p.getY() * 256 - p.getX() * this.cMaxSlope) / 256;
        /** work along the line from (0,yIntStart) to (cSteps,yIntEnd),
         * incrementing the Hough accumulator.
         */
        for (int slope = 0; slope < this.cSteps; slope++) {
           int yInt = (yIntEnd - yIntStart) * slope / this.cSteps +
                   yIntStart;
           /** check if the current position falls inside the Hough 
            * accumulator.
            */
           if (yInt >= this.cMinY && yInt < this.cMaxY) {
                this.cHoughAccum[slope][yInt-this.cMinY]++;
           }
        };
    }
    
    /** Find the peak in the Hough array. Updates cCount, cSlope, and cYInt.
     */
    private void findPeak() {
        this.cCount = Integer.MIN_VALUE;
        for (int slope=0; slope this.cCount) {
                    this.cCount = this.cHoughAccum[slope][y];
                    this.cSlope = slope * (this.cMaxSlope - this.cMinSlope) 
                        / this.cSteps + this.cMinSlope;
                    this.cYInt = y + this.cMinY;
                }
            }
        }
    }
    
    /** Returns the count of points on the line that was found.
     *
     * @return the point count.
     */
    public int getCount() {
        return this.cCount;
    }
    
    /** Returns the slope of the line that was found.
     *
     * @return the line slope (*256)
     */
    public int getSlope() {
        return this.cSlope;
    }
    
    /** Returns the y-intercept of the line that was found.
     *
     * @return the y-intercept.
     */
    public int getY() {
        return this.cYInt;
    }
    
    /** Finds the most likely line passing through the points in the Vector.
     * 
     * @param points the input Vector of point positions
     * @throws com.github.ojil.core.Error if points is not a Vector of 
     * point objects.
     */
    public void push(Vector points) throws com.github.ojil.core.Error {
        /* create Hough accumulator */
        this.cHoughAccum = 
                new Integer[this.cSteps][this.cMaxY-this.cMinY];
        /* fill the Hough accumulator
         */
        for (Enumeration e = points.elements(); e.hasMoreElements();) {
            Object o = e.nextElement(); 
            if (!(o instanceof Point)) {
                throw new Error(
                    			Error.PACKAGE.ALGORITHM,
                    			ErrorCodes.OBJECT_NOT_EXPECTED_TYPE,
                    			o.toString(),
                    			"Point",
                    			null);
            }
            Point p = (Point) o;
            addPoint(p);
        }
        findPeak(); // sets cYInt, cSlope, cCount for access by caller
        this.cHoughAccum = null; // free memory
    }
       
    /** Return a string describing the current instance, giving the values
     * of the constructor parameters.
     *
     * @return the string describing the current instance.
     */
    public String toString() {
        return super.toString() + "(" + this.cMinY + "," + this.cMaxY + "," + //$NON-NLS-1$ //$NON-NLS-2$ //$NON-NLS-3$
                this.cMinSlope + "," + this.cMaxSlope + "," + this.cSteps + ")"; //$NON-NLS-1$ //$NON-NLS-2$ //$NON-NLS-3$
    }
}




© 2015 - 2025 Weber Informatics LLC | Privacy Policy