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📄 nyarrasterthresholdanalyzer_slideptile.java

📁 java 版的 ARToolkit
💻 JAVA
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/* 
 * PROJECT: NyARToolkit
 * --------------------------------------------------------------------------------
 * This work is based on the original ARToolKit developed by
 *   Hirokazu Kato
 *   Mark Billinghurst
 *   HITLab, University of Washington, Seattle
 * http://www.hitl.washington.edu/artoolkit/
 *
 * The NyARToolkit is Java version ARToolkit class library.
 * Copyright (C)2008 R.Iizuka
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the GNU General Public License
 * as published by the Free Software Foundation; either version 2
 * 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 General Public License for more details.
 * 
 * You should have received a copy of the GNU General Public License
 * along with this framework; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 * 
 * For further information please contact.
 *	http://nyatla.jp/nyatoolkit/
 *	<airmail(at)ebony.plala.or.jp>
 * 
 */
package jp.nyatla.nyartoolkit.core2.rasteranalyzer.threshold;

import jp.nyatla.nyartoolkit.NyARException;
import jp.nyatla.nyartoolkit.core.raster.*;
import jp.nyatla.nyartoolkit.core.rasterreader.INyARBufferReader;
import jp.nyatla.nyartoolkit.core.types.*;


/**
 * 明点と暗点をPタイル法で検出して、その中央値を閾値とする。
 * 
 * 
 */
public class NyARRasterThresholdAnalyzer_SlidePTile implements INyARRasterThresholdAnalyzer
{
	private int _persentage;

	private int _threshold;

	/**
	 * @param i_persentage
	 * 0<=50であること。白/黒マーカーの場合は10~20を推奨 正の場合、黒点を基準にします。 負の場合、白点を基準にします。
	 * (CMOSカメラの場合、基準点は白点の方が良い)
	 */
	public NyARRasterThresholdAnalyzer_SlidePTile(int i_persentage)
	{
		assert (0 <= i_persentage && i_persentage <= 50);
		this._persentage = i_persentage;
	}

	private int createHistgram(INyARBufferReader i_reader,NyARIntSize i_size, int[] o_histgram) throws NyARException
	{
		int[] in_buf = (int[]) i_reader.getBuffer();
		int[] histgram = o_histgram;

		// ヒストグラムを作成
		for (int i = 0; i < 256; i++) {
			histgram[i] = 0;
		}
		int sum = 0;
		for (int y = 0; y < i_size.h; y++) {
			int sum2 = 0;
			for (int x = 0; x < i_size.w; x++) {
				int v = in_buf[y* i_size.w+x];
				histgram[v]++;
				sum2 += v;
			}
			sum = sum + sum2 / i_size.w;
		}
		// 閾値ピクセル数確定
		int th_pixcels = i_size.w * i_size.h * this._persentage / 100;
		int th_wk;
		int th_w, th_b;

		// 黒点基準
		th_wk = th_pixcels;
		for (th_b = 0; th_b < 254; th_b++) {
			th_wk -= histgram[th_b];
			if (th_wk <= 0) {
				break;
			}
		}
		// 白点基準
		th_wk = th_pixcels;
		for (th_w = 255; th_w > 1; th_w--) {
			th_wk -= histgram[th_w];
			if (th_wk <= 0) {
				break;
			}
		}
		// 閾値の保存
		return (th_w + th_b) / 2;
	}

	public void analyzeRaster(INyARRaster i_input) throws NyARException
	{
		final INyARBufferReader buffer_reader=i_input.getBufferReader();	
		assert (buffer_reader.isEqualBufferType(INyARBufferReader.BUFFERFORMAT_INT1D_GLAY_8));

		int[] histgram = new int[256];
		// 閾値の基準値を出す。
		this._threshold = createHistgram(buffer_reader,i_input.getSize(), histgram);
		return;
	}

	/**
	 * ヒストグラムをラスタに書き出す。
	 * 
	 * @param i_output
	 */
	public void debugDrawHistgramMap(INyARRaster i_input, INyARRaster i_output) throws NyARException
	{
		INyARBufferReader in_buffer_reader=i_input.getBufferReader();	
		INyARBufferReader out_buffer_reader=i_output.getBufferReader();	
		assert (in_buffer_reader.isEqualBufferType(INyARBufferReader.BUFFERFORMAT_INT1D_GLAY_8));
		assert (out_buffer_reader.isEqualBufferType(INyARBufferReader.BUFFERFORMAT_INT1D_GLAY_8));

		NyARIntSize size = i_output.getSize();

		int[] out_buf = (int[]) out_buffer_reader.getBuffer();
		// 0で塗りつぶし
		for (int y = 0; y < size.h; y++) {
			for (int x = 0; x < size.w; x++) {
				out_buf[y* size.w+x] = 0;
			}
		}
		// ヒストグラムを計算
		int[] histgram = new int[256];
		int threshold = createHistgram(in_buffer_reader,i_input.getSize(), histgram);
		for (int i = 255; i > 0; i--) {
			histgram[i] = Math.abs(histgram[i]);
		}

		// ヒストグラムの最大値を出す
		int max_v = 0;
		for (int i = 0; i < 255; i++) {
			if (max_v < histgram[i]) {
				max_v = histgram[i];
			}
		}
		// 目盛り
		for (int i = 0; i < size.h; i++) {
			out_buf[i* size.w+0] = 128;
			out_buf[i* size.w+128] = 128;
			out_buf[i* size.w+255] = 128;
		}
		// スケーリングしながら描画
		for (int i = 0; i < 255; i++) {
			out_buf[(histgram[i] * (size.h - 1) / max_v)* size.w+i] = 255;
		}
		// 値
		for (int i = 0; i < size.h; i++) {
			out_buf[i* size.w+threshold] = 255;
		}
		return;
	}

	public int getThreshold()
	{
		return this._threshold;
	}

	public int getThreshold(int i_x, int i_y)
	{
		return this._threshold;
	}
}

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