Processing 구현중 1

PImage img_1;

PImage img_2;

PImage result;

color[][] c_1;

color[][] c_2;

color[][] c;

/*

int[] c_1_red;

int[] c_1_green;

int[] c_1_blue;

int[] c_2_red;

int[] c_2_green;

int[] c_2_blue;

*/

void setup()

{

  size(640, 480);

  img_1 = loadImage("sample_1.jpg");

  img_1.resize(640, 480);

  img_2 = loadImage("sample_2.jpg");

  img_2.resize(640, 480);

  for (int i = 1; i <= 640; i++)

  {

    for (int j = 1; j <= 480; j++)

    {

      c_1[i][j] = img_1.get(i, j);        // 널포인트익셉션 > 이유 찾기

    }

  }

}

void draw()

{

  result = createImage(640, 480, RGB);

  

  for (int i = 0; i < 640; i++)

  {

    for (int j = 0; j < 480; j++)

    {

      c[i][j] = c_1[i][j];

      fill(c[i][j]);

      point(i, j);

    }

  }

  

  image(result, 0, 0);

}

각 픽셀의 색깔을 모아서 새 이미지를 만드는 작업

원시적인 방법인듯.... PImage pixels[] 예제 참고

PImage tower;

void setup() {

  size(100, 100);

  tower = loadImage("tower.jpg");

  int dimension = tower.width * tower.height;

  tower.loadPixels();

  for (int i = 0; i < dimension; i += 2) { 

    tower.pixels[i] = color(0, 0, 0); 

  } 

  tower.updatePixels();

}

void draw() {

  image(tower, 0, 0);

}