test2.java

All the tool for build a network able to reconize any shapes. Very complete, a good base for anythi

package jnt;

import jnt.FFT.ComplexDouble2DFFT;

public class Test2 {

	/**
	 * @param args
	 */
	public static void main(String[] args) {
		double[] image={1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25};
		ComplexDouble2DFFT methodes = new ComplexDouble2DFFT(10,10);
		methodes.transform(image);
		double[] reducePict= new double[162];
		int j = 0;
		for (int i=0; i<image.length ;i++){
			if ((i%20>1 && i%20<18) && (i%200>19 && i%200<180)){
				reducePict[j++]=image[i];
			}
			}
		ComplexDouble2DFFT methodes2 = new ComplexDouble2DFFT(9,9);
		methodes2.inverse(reducePict);
		for (int i=0; i<reducePict.length ;i++){
		System.out.println(reducePict[i]);
		}
	}

}