使用深度优先搜索的形状分割
Shape segmentation using Depth-First-Search
如何在深度优先搜索中解决这个问题:
- 6x6 正方形,沿着格子的边缘切成两部分。
- 要求两部分的形状完全一致
试算一下e:一共有多少种不同的切分方法
注:旋转对称属于同一种分割方法
例如:
抱歉,看来我只是想不假思索地寻找答案。其实我想了很多。原题目没有要求深度优先搜索,我觉得需要用它来解决这个问题,但是我没有一个明确的思路。我觉得满足要求就是格子之间是连续的,但是不知道怎么表达这种情况。
我觉得用dfs这个idea不错。您可以在一个清晰(没有墙壁)的迷宫中开始搜索。
在任意单元格上开始搜索。
对于探索的每个单元格:将对称单元格标记为 "wall"。
找到一个分段的伪代码可以是:
boolean dfs(cell) {
if cell is not empty or was explores or null - return false
symCell = get Symetric Cell of cell
if symCell is not empty or was explores or null - return false
else mark symCell as wall
mark cell as explored
//loop over neighbors
for(Cell c : getNeighbors of cell){
if ( dfs(c) ) return true
}
return false
}
可以一遍又一遍地重复该过程以找到更多细分。
我还没有想出任何关于停止标准的好主意:你怎么知道所有可能的分段都被找到了。
这是一个简单的 java 寻找 one 分割的摆动演示:
import java.awt.BorderLayout;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.GridLayout;
import java.awt.Point;
import java.awt.event.MouseAdapter;
import java.awt.event.MouseEvent;
import java.awt.event.MouseListener;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import javax.swing.BorderFactory;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
public class SwingMaze extends JFrame {
private JPanel mazePanel;
private Cell[][] cells;
private int mazeRows = 6, mazeCols = 6; //default size
public SwingMaze() { this(null); }
public SwingMaze(Cell[][] cells) {
this.cells = (cells == null) ?
getCells(mazeRows,mazeCols) : cells;
mazeRows = this.cells.length; mazeCols = this.cells[0].length;
setTitle("Grid");
setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
buildUi();
pack();
setVisible(true);
}
void buildUi() {
mazePanel = new JPanel();
mazePanel.setLayout(new GridLayout(cells.length, cells[0].length));
add(mazePanel, BorderLayout.CENTER);
for (Cell[] cellsRow : cells) {
for (Cell cell : cellsRow) {
cell.addMouseListener(cellMouseListener(cell));
mazePanel.add(cell);
}
}
add(new JLabel("Click any cell to set it origin and start search"),
BorderLayout.SOUTH);
}
private MouseListener cellMouseListener(Cell cell) {
return new MouseAdapter() {
@Override
public void mouseClicked(MouseEvent e) {solve(cell);}
};
}
private List<Cell> getNeighbors(Cell cell){
List<Cell> neighbors = new ArrayList<>();
for(int row = (cell.getPosition().x -1) ;
row <= (cell.getPosition().x +1) ; row++) {
if(! validPosition (row,0)) { continue;}
for(int col = (cell.getPosition().y -1) ;
col <= (cell.getPosition().y +1) ; col++) {
if(! validPosition (row,col)) { continue;}
if((row == cell.getPosition().x) &&
(col == cell.getPosition().y) ) { continue;}
if((row != cell.getPosition().x) &&
(col != cell.getPosition().y) ) { continue;}
neighbors.add(cells[row][col]);
}
}
Collections.shuffle(neighbors);
return neighbors;
}
private boolean validPosition(int row, int col) {
return (row >= 0) && (row < mazeRows)
&& (col >= 0) && (col < mazeCols);
}
private Cell getSymetricCell(Cell cell) {
if(! validPosition(cell.getPosition().x,
cell.getPosition().y)) { return null; }
int row = mazeRows - cell.getPosition().x -1;
int col = mazeCols - cell.getPosition().y -1;
return cells[row][col];
}
private Cell[][] getCells(int rows, int cols) {
Cell[][] cells = new Cell[rows][cols];
for(int row=0; row <cells.length; row++) {
for(int col=0; col<cells[row].length; col++) {
cells[row][col] = new Cell();
cells[row][col].setPosition(row, col);
}
}
return cells;
}
boolean solve(Cell cell) {
reset();
return dfs(cell);
}
boolean dfs(Cell cell) {
if(cell == null){ return false; }
//if cell is wall, or was explored
if( !cell. isToBeExplored()) { return false; }
Cell symCell = getSymetricCell(cell);
if((symCell == null) || ! symCell.isToBeExplored()) { return false; }
symCell.setState(State.WALL);
cell.setState(State.WAS_EXPLORED);
//loop over neighbors
for(Cell c : getNeighbors(cell)){
if (dfs(c)) { return true; }
}
return false;
}
private void reset() {
for(Cell[] cellRow : cells) {
for(Cell cell : cellRow) {
cell.setState(State.EMPTY);
}
}
}
public static void main(String[] args) {
new SwingMaze();
}
}
class Cell extends JLabel {
Point position;
State state;
private static int cellH =65, cellW = 65;
Cell() {
super();
position = new Point(0,0);
state = State.EMPTY;
setBorder(BorderFactory.createLineBorder(Color.RED));
setPreferredSize(new Dimension(cellH , cellW));
setOpaque(true);
}
boolean isToBeExplored() { return state == State.EMPTY; }
Point getPosition() {return position;}
void setPosition(Point position) {this.position = position;}
void setPosition(int x, int y) { position = new Point(x, y); }
void setState(State state) {
this.state = state;
setBackground(state.getColor());
}
State getState() { return state; }
@Override
public String toString() {
return "Cell " + position.getX() + "-" + position.getY()+ " " + state ;
}
}
enum State {
EMPTY (Color.WHITE), WALL (Color.BLUE), EXPLORED(Color.YELLOW),
WAS_EXPLORED(Color.PINK);
private Color color;
State(Color color) { this.color = color; }
Color getColor() { return color; }
}
点击将其设置为原点并开始搜索。再次点击同一个单元格可以看到不同的分割。
我看到一个解决这个问题的方法,就是从划分网格的直线开始搜索,代码如下:
public class Maze {
int point[][] = new int[10][10]; // The intersection between the line and the line
int dir[][] = {{-1,0},{1,0},{0,-1},{0,1}}; // get Neighbors
static int N = 6; // default size
static int count = 0;
public void dfs(int x, int y) {
if (x == 0 || y == 0 || x == N || y == N) {
count++;
return;
}
for(int i = 0; i < 4; i++) {
int n = x + dir[i][0];
int m = y + dir[i][1];
if (n < 0 || n > N || m < 0 || m > N) { continue; }
if (point[n][m] == 0) {
point[n][m] = 1;
point[N-n][N-m] = 1;
dfs(n, m);
point[n][m] = 0;
point[N-n][N-m] = 0;
}
}
}
public static void main(String[] args) {
Maze test = new Maze();
test.point[N/2][N/2] = 1; // Search from the center point
test.dfs(N/2, N/2);
System.out.println(count/4); // There are four types of rotational symmetry
} }
如何在深度优先搜索中解决这个问题:
- 6x6 正方形,沿着格子的边缘切成两部分。
- 要求两部分的形状完全一致
试算一下e:一共有多少种不同的切分方法
注:旋转对称属于同一种分割方法
例如:
抱歉,看来我只是想不假思索地寻找答案。其实我想了很多。原题目没有要求深度优先搜索,我觉得需要用它来解决这个问题,但是我没有一个明确的思路。我觉得满足要求就是格子之间是连续的,但是不知道怎么表达这种情况。
我觉得用dfs这个idea不错。您可以在一个清晰(没有墙壁)的迷宫中开始搜索。
在任意单元格上开始搜索。
对于探索的每个单元格:将对称单元格标记为 "wall"。
找到一个分段的伪代码可以是:
boolean dfs(cell) {
if cell is not empty or was explores or null - return false
symCell = get Symetric Cell of cell
if symCell is not empty or was explores or null - return false
else mark symCell as wall
mark cell as explored
//loop over neighbors
for(Cell c : getNeighbors of cell){
if ( dfs(c) ) return true
}
return false
}
可以一遍又一遍地重复该过程以找到更多细分。
我还没有想出任何关于停止标准的好主意:你怎么知道所有可能的分段都被找到了。
这是一个简单的 java 寻找 one 分割的摆动演示:
import java.awt.BorderLayout;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.GridLayout;
import java.awt.Point;
import java.awt.event.MouseAdapter;
import java.awt.event.MouseEvent;
import java.awt.event.MouseListener;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import javax.swing.BorderFactory;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
public class SwingMaze extends JFrame {
private JPanel mazePanel;
private Cell[][] cells;
private int mazeRows = 6, mazeCols = 6; //default size
public SwingMaze() { this(null); }
public SwingMaze(Cell[][] cells) {
this.cells = (cells == null) ?
getCells(mazeRows,mazeCols) : cells;
mazeRows = this.cells.length; mazeCols = this.cells[0].length;
setTitle("Grid");
setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
buildUi();
pack();
setVisible(true);
}
void buildUi() {
mazePanel = new JPanel();
mazePanel.setLayout(new GridLayout(cells.length, cells[0].length));
add(mazePanel, BorderLayout.CENTER);
for (Cell[] cellsRow : cells) {
for (Cell cell : cellsRow) {
cell.addMouseListener(cellMouseListener(cell));
mazePanel.add(cell);
}
}
add(new JLabel("Click any cell to set it origin and start search"),
BorderLayout.SOUTH);
}
private MouseListener cellMouseListener(Cell cell) {
return new MouseAdapter() {
@Override
public void mouseClicked(MouseEvent e) {solve(cell);}
};
}
private List<Cell> getNeighbors(Cell cell){
List<Cell> neighbors = new ArrayList<>();
for(int row = (cell.getPosition().x -1) ;
row <= (cell.getPosition().x +1) ; row++) {
if(! validPosition (row,0)) { continue;}
for(int col = (cell.getPosition().y -1) ;
col <= (cell.getPosition().y +1) ; col++) {
if(! validPosition (row,col)) { continue;}
if((row == cell.getPosition().x) &&
(col == cell.getPosition().y) ) { continue;}
if((row != cell.getPosition().x) &&
(col != cell.getPosition().y) ) { continue;}
neighbors.add(cells[row][col]);
}
}
Collections.shuffle(neighbors);
return neighbors;
}
private boolean validPosition(int row, int col) {
return (row >= 0) && (row < mazeRows)
&& (col >= 0) && (col < mazeCols);
}
private Cell getSymetricCell(Cell cell) {
if(! validPosition(cell.getPosition().x,
cell.getPosition().y)) { return null; }
int row = mazeRows - cell.getPosition().x -1;
int col = mazeCols - cell.getPosition().y -1;
return cells[row][col];
}
private Cell[][] getCells(int rows, int cols) {
Cell[][] cells = new Cell[rows][cols];
for(int row=0; row <cells.length; row++) {
for(int col=0; col<cells[row].length; col++) {
cells[row][col] = new Cell();
cells[row][col].setPosition(row, col);
}
}
return cells;
}
boolean solve(Cell cell) {
reset();
return dfs(cell);
}
boolean dfs(Cell cell) {
if(cell == null){ return false; }
//if cell is wall, or was explored
if( !cell. isToBeExplored()) { return false; }
Cell symCell = getSymetricCell(cell);
if((symCell == null) || ! symCell.isToBeExplored()) { return false; }
symCell.setState(State.WALL);
cell.setState(State.WAS_EXPLORED);
//loop over neighbors
for(Cell c : getNeighbors(cell)){
if (dfs(c)) { return true; }
}
return false;
}
private void reset() {
for(Cell[] cellRow : cells) {
for(Cell cell : cellRow) {
cell.setState(State.EMPTY);
}
}
}
public static void main(String[] args) {
new SwingMaze();
}
}
class Cell extends JLabel {
Point position;
State state;
private static int cellH =65, cellW = 65;
Cell() {
super();
position = new Point(0,0);
state = State.EMPTY;
setBorder(BorderFactory.createLineBorder(Color.RED));
setPreferredSize(new Dimension(cellH , cellW));
setOpaque(true);
}
boolean isToBeExplored() { return state == State.EMPTY; }
Point getPosition() {return position;}
void setPosition(Point position) {this.position = position;}
void setPosition(int x, int y) { position = new Point(x, y); }
void setState(State state) {
this.state = state;
setBackground(state.getColor());
}
State getState() { return state; }
@Override
public String toString() {
return "Cell " + position.getX() + "-" + position.getY()+ " " + state ;
}
}
enum State {
EMPTY (Color.WHITE), WALL (Color.BLUE), EXPLORED(Color.YELLOW),
WAS_EXPLORED(Color.PINK);
private Color color;
State(Color color) { this.color = color; }
Color getColor() { return color; }
}
点击将其设置为原点并开始搜索。再次点击同一个单元格可以看到不同的分割。
我看到一个解决这个问题的方法,就是从划分网格的直线开始搜索,代码如下:
public class Maze {
int point[][] = new int[10][10]; // The intersection between the line and the line
int dir[][] = {{-1,0},{1,0},{0,-1},{0,1}}; // get Neighbors
static int N = 6; // default size
static int count = 0;
public void dfs(int x, int y) {
if (x == 0 || y == 0 || x == N || y == N) {
count++;
return;
}
for(int i = 0; i < 4; i++) {
int n = x + dir[i][0];
int m = y + dir[i][1];
if (n < 0 || n > N || m < 0 || m > N) { continue; }
if (point[n][m] == 0) {
point[n][m] = 1;
point[N-n][N-m] = 1;
dfs(n, m);
point[n][m] = 0;
point[N-n][N-m] = 0;
}
}
}
public static void main(String[] args) {
Maze test = new Maze();
test.point[N/2][N/2] = 1; // Search from the center point
test.dfs(N/2, N/2);
System.out.println(count/4); // There are four types of rotational symmetry
} }