我想知道是否有任何类似的算法:
给定一个特定的表面,它将它分成相同大小的较小矩形。
像这个示例图:
灰色区域是表面,红色方块是分区本身。
我在想是否有一种优化的方法可以做到这一点。
一个非常糟糕的方法是在所有像素中使用for循环并检查该特定点是否有矩形,否则会创建一个矩形,依此类推..
也许有人知道算法已经完成了吗?还是一个更好的解决方案?
提前多多谢谢;)
答案 0 :(得分:2)
这是一种解决方法。
创建图像的蒙版。 (我刚用过Photoshop)
窃取安德鲁·汤普森的Creating an Area from an Image代码并用它来创建图片的Area
。
Area imageArea = getOutline(Color.BLACK, imageMask);
为整个图像创建网格Rectangle2D
对象。
Rectangle2D[][] grid = new Rectangle2D[rows][cols];
for (int i = 0; i < grid.length; i++) {
int y = i * CELL_SIZE;
for (int j = 0; j < grid[i].length; j++) {
int x = j * CELL_SIZE;
grid[i][j] = new Rectangle2D.Double(x, y, cellSize, cellSize);
}
}
获得网格后,您可以遍历Rectangle2D
个对象并检查网格中的Area.contains
每个人Rectangle2D
,然后您可以将其添加到一个List<Rectangle2D>
。只会添加区域中包含的矩形,为您绘制最终的矩形网格。在下面的例子中,我只是将矩形绘制为视觉效果。
for (Rectangle2D[] rects : imageGrid) {
for (Rectangle2D rect : rects) {
if (imageArea.contains(rect)) {
g2.drawRect((int) rect.getX(), (int) rect.getY(),
(int) rect.getWidth(), (int) rect.getHeight());
}
}
}
完整示例
import java.awt.BasicStroke;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.Graphics;
import java.awt.Graphics2D;
import java.awt.geom.Area;
import java.awt.geom.GeneralPath;
import java.awt.geom.Rectangle2D;
import java.awt.image.BufferedImage;
import java.io.IOException;
import java.util.logging.Level;
import java.util.logging.Logger;
import javax.imageio.ImageIO;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.SwingUtilities;
public class SquaresInArea extends JPanel {
private static final int CELL_SIZE = 30;
BufferedImage image;
BufferedImage imageMask;
Area imageArea;
Rectangle2D[][] imageGrid;
public SquaresInArea() {
try {
image = ImageIO.read(getClass().getResource("/resources/floorplan.png"));
imageMask = ImageIO.read(getClass().getResource("/resources/floorplan-black.png"));
} catch (IOException ex) {
Logger.getLogger(SquaresInArea.class.getName()).log(Level.SEVERE, null, ex);
}
imageArea = getOutline(Color.BLACK, imageMask);
imageGrid = createGrid();
}
private Rectangle2D[][] createGrid() {
int width = image.getWidth();
int height = image.getHeight();
int rows = height / CELL_SIZE;
int cols = width / CELL_SIZE;
Rectangle2D[][] grid = new Rectangle2D[rows][cols];
for (int i = 0; i < grid.length; i++) {
int y = i * CELL_SIZE;
for (int j = 0; j < grid[i].length; j++) {
int x = j * CELL_SIZE;
grid[i][j] = new Rectangle2D.Double(x, y, CELL_SIZE, CELL_SIZE);
}
}
return grid;
}
@Override
protected void paintComponent(Graphics g) {
super.paintComponent(g);
Graphics2D g2 = (Graphics2D) g;
g2.drawImage(image, 0, 0, this);
g2.setColor(Color.YELLOW);
g2.setStroke(new BasicStroke(3f));
for (Rectangle2D[] rects : imageGrid) {
for (Rectangle2D rect : rects) {
if (imageArea.contains(rect)) {
g2.drawRect((int) rect.getX(), (int) rect.getY(),
(int) rect.getWidth(), (int) rect.getHeight());
}
}
}
}
@Override
public Dimension getPreferredSize() {
return image == null ? new Dimension(300, 300)
: new Dimension(image.getWidth(), image.getHeight());
}
private Area getOutline(Color target, BufferedImage bi) {
// construct the GeneralPath
GeneralPath gp = new GeneralPath();
boolean cont = false;
int targetRGB = target.getRGB();
for (int xx = 0; xx < bi.getWidth(); xx++) {
for (int yy = 0; yy < bi.getHeight(); yy++) {
if (bi.getRGB(xx, yy) == targetRGB) {
if (cont) {
gp.lineTo(xx, yy);
gp.lineTo(xx, yy + 1);
gp.lineTo(xx + 1, yy + 1);
gp.lineTo(xx + 1, yy);
gp.lineTo(xx, yy);
} else {
gp.moveTo(xx, yy);
}
cont = true;
} else {
cont = false;
}
}
cont = false;
}
gp.closePath();
// construct the Area from the GP & return it
return new Area(gp);
}
public static void main(String[] args) {
SwingUtilities.invokeLater(new Runnable() {
public void run() {
JFrame frame = new JFrame();
frame.add(new SquaresInArea());
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.pack();
frame.setLocationRelativeTo(null);
frame.setVisible(true);
}
});
}
}
这是另一个清晰的视图
private final BasicStroke thin = new BasicStroke(1f);
private final BasicStroke thick = new BasicStroke(4f);
@Override
protected void paintComponent(Graphics g) {
super.paintComponent(g);
Graphics2D g2 = (Graphics2D) g;
g2.drawImage(image, 0, 0, this);
for (Rectangle2D[] rects : imageGrid) {
for (Rectangle2D rect : rects) {
if (imageArea.contains(rect)) {
g2.setStroke(thick);
g2.setColor(Color.GREEN);
g2.draw(rect);
} else {
g2.setStroke(thin);
g2.setColor(Color.RED);
g2.draw(rect);
}
}
}
}
答案 1 :(得分:0)
你只是想用正方形填充它 - 或者你想用最佳数量的方块填充它?
第二种算法更难。
对于第一个只是逐步通过图像的方形尺寸。如果填充该点的像素,则扫描整个正方形,如果全部填充则绘制正方形。如果没有,那么进入下一点。
即。如果正方形是10 * 10像素:
for (int x=0;x<width;x+=SQUARE_SIZE) {
for (int y=0;y<height;y+=SQUARE_SIZE) {
// Now check if you can put a valid square here, if so draw it
}
}