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/*
* 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.Vector;
import com.github.ojil.core.ImageError;
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 ImageError
* if Y or slope range is empty, or cSteps is not positive.
*/
public LinefitHough(final int cMinY, final int cMaxY, final int cMinSlope, final int cMaxSlope, final int cSteps) throws ImageError {
if (cMaxY < cMinY) {
throw new ImageError(ImageError.PACKAGE.ALGORITHM, AlgorithmErrorCodes.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 ImageError(ImageError.PACKAGE.ALGORITHM, AlgorithmErrorCodes.PARAMETER_RANGE_NULL_OR_NEGATIVE, new Integer(cMinSlope).toString(), new Integer(cMaxSlope).toString(), null);
}
if (cSteps <= 0) {
throw new ImageError(ImageError.PACKAGE.ALGORITHM, AlgorithmErrorCodes.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(final Point p) {
// compute initial intercept. cMinSlope is the real slope minimum
// * 256.
final int yIntStart = ((p.getY() * 256) - (p.getX() * cMinSlope)) / 256;
// compute final intercept. cMaxSlope is the real slope maximum
// * 256.
final int yIntEnd = ((p.getY() * 256) - (p.getX() * cMaxSlope)) / 256;
/**
* work along the line from (0,yIntStart) to (cSteps,yIntEnd),
* incrementing the Hough accumulator.
*/
for (int slope = 0; slope < cSteps; slope++) {
final int yInt = (((yIntEnd - yIntStart) * slope) / cSteps) + yIntStart;
/**
* check if the current position falls inside the Hough accumulator.
*/
if ((yInt >= cMinY) && (yInt < cMaxY)) {
cHoughAccum[slope][yInt - cMinY]++;
}
}
;
}
/**
* Find the peak in the Hough array. Updates cCount, cSlope, and cYInt.
*/
private void findPeak() {
cCount = Integer.MIN_VALUE;
for (int slope = 0; slope < cSteps; slope++) {
for (int y = 0; y < (cMaxY - cMinY); y++) {
if (cHoughAccum[slope][y] > cCount) {
cCount = cHoughAccum[slope][y];
cSlope = ((slope * (cMaxSlope - cMinSlope)) / cSteps) + cMinSlope;
cYInt = y + cMinY;
}
}
}
}
/**
* Returns the count of points on the line that was found.
*
* @return the point count.
*/
public int getCount() {
return cCount;
}
/**
* Returns the slope of the line that was found.
*
* @return the line slope (*256)
*/
public int getSlope() {
return cSlope;
}
/**
* Returns the y-intercept of the line that was found.
*
* @return the y-intercept.
*/
public int getY() {
return cYInt;
}
/**
* Finds the most likely line passing through the points in the Vector.
*
* @param points
* the input Vector of point positions
* @throws ImageError
* if points is not a Vector of point objects.
*/
public void push(final Vector> points) throws ImageError {
/* create Hough accumulator */
cHoughAccum = new Integer[cSteps][cMaxY - cMinY];
/*
* fill the Hough accumulator
*/
for (final Object o : points) {
if (!(o instanceof Point)) {
throw new ImageError(ImageError.PACKAGE.ALGORITHM, AlgorithmErrorCodes.OBJECT_NOT_EXPECTED_TYPE, o.toString(), "Point", null);
}
final Point p = (Point) o;
addPoint(p);
}
findPeak(); // sets cYInt, cSlope, cCount for access by caller
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.
*/
@Override
public String toString() {
return super.toString() + "(" + cMinY + "," + cMaxY + "," + //$NON-NLS-1$ //$NON-NLS-2$ //$NON-NLS-3$
cMinSlope + "," + cMaxSlope + "," + cSteps + ")"; //$NON-NLS-1$ //$NON-NLS-2$ //$NON-NLS-3$
}
}
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