マーカー認識のための二値化
/**
* Copyright keno42 ( http://wonderfl.net/user/keno42 )
* MIT License ( http://www.opensource.org/licenses/mit-license.php )
* Downloaded from: http://wonderfl.net/c/9b3J
*/
package
{
import flash.display.Bitmap;
import flash.display.BitmapData;
import flash.display.Sprite;
import flash.events.Event;
import flash.filters.BlurFilter;
import flash.filters.ColorMatrixFilter;
import flash.filters.ConvolutionFilter;
import flash.geom.Point;
import flash.media.Camera;
import flash.media.Video;
import net.hires.debug.*;
public class Test3 extends Sprite
{
private var camera:Camera;
private var video:Video;
private var bd:BitmapData;
private var threshold:uint = 0xFF888888;
private var grayConst:Array = [
0.3, 0.59, 0.11, 0, 0,
0.3, 0.59, 0.11, 0, 0,
0.3, 0.59, 0.11, 0, 0,
0, 0, 0, 0, 255
];
public function Test3()
{
camera = Camera.getCamera();
if ( camera == null ) {
} else {
start();
}
}
private function start():void {
camera.setMode(465, 232, 30);
video = new Video(465, 232);
video.attachCamera(camera);
bd = new BitmapData(video.width, video.height);
this.addChild( video );
this.addChild( new Bitmap( bd ) );
this.getChildAt(1).y = 233;
this.addChild( new Stats() );
this.addEventListener(Event.ENTER_FRAME, onEnterFrame);
}
private function onEnterFrame(e:Event):void {
bd.lock();
bd.draw(video);
// グレー化
bd.applyFilter(bd, bd.rect, new Point(), new ColorMatrixFilter(grayConst));
bd.applyFilter(bd, bd.rect, new Point(), new ConvolutionFilter(5, 5, [
0, -1, -1, -1, 0,
-1, -1, -2, -1, -1,
-1, -2, 25, -2, -1,
-1, -1, -2, -1, -1,
0, -1, -1, -1, 0
]));
bd.applyFilter(bd, bd.rect, new Point(), new BlurFilter(3, 3));
// 二値化
bd.threshold(bd, bd.rect, new Point(), ">", threshold, 0xFFFFFFFF, 0x0000FF00);
bd.threshold(bd, bd.rect, new Point(), "!=", 0xFFFFFFFF, 0xFF000000);
bd.unlock();
}
}
}