Мне было интересно, есть ли способ конвертировать изображение/графику в Shape? Например, можно ли преобразовать контур фигуры мотоцикла в Shape, чтобы затем использовать его в Java? Я знаю, что вы можете делать это с нормальными квадратами или с закругленными углами, полигонами и т.д. Но есть ли способ сделать обычную форму?
Изображение/Графика в форму
Ответ 1
motorcycle.jpg
мотоцикл-03.png
ImageOutline.java
Этот код требует некоторого терпения (при запуске).
import java.awt.*;
import java.awt.image.BufferedImage;
import java.awt.geom.Area;
import javax.imageio.ImageIO;
import java.io.File;
import java.util.Date;
import javax.swing.*;
/* Motorcycle image courtesy of ShutterStock
http://www.shutterstock.com/pic-13585165/stock-vector-travel-motorcycle-silhouette.html */
class ImageOutline {
public static Area getOutline(BufferedImage image, Color color, boolean include, int tolerance) {
Area area = new Area();
for (int x=0; x<image.getWidth(); x++) {
for (int y=0; y<image.getHeight(); y++) {
Color pixel = new Color(image.getRGB(x,y));
if (include) {
if (isIncluded(color, pixel, tolerance)) {
Rectangle r = new Rectangle(x,y,1,1);
area.add(new Area(r));
}
} else {
if (!isIncluded(color, pixel, tolerance)) {
Rectangle r = new Rectangle(x,y,1,1);
area.add(new Area(r));
}
}
}
}
return area;
}
public static boolean isIncluded(Color target, Color pixel, int tolerance) {
int rT = target.getRed();
int gT = target.getGreen();
int bT = target.getBlue();
int rP = pixel.getRed();
int gP = pixel.getGreen();
int bP = pixel.getBlue();
return(
(rP-tolerance<=rT) && (rT<=rP+tolerance) &&
(gP-tolerance<=gT) && (gT<=gP+tolerance) &&
(bP-tolerance<=bT) && (bT<=bP+tolerance) );
}
public static BufferedImage drawOutline(int w, int h, Area area) {
final BufferedImage result = new BufferedImage(
w,
h,
BufferedImage.TYPE_INT_RGB);
Graphics2D g = result.createGraphics();
g.setColor(Color.white);
g.fillRect(0,0,w,h);
g.setClip(area);
g.setColor(Color.red);
g.fillRect(0,0,w,h);
g.setClip(null);
g.setStroke(new BasicStroke(1));
g.setColor(Color.blue);
g.draw(area);
return result;
}
public static BufferedImage createAndWrite(
BufferedImage image,
Color color,
boolean include,
int tolerance,
String name)
throws Exception {
int w = image.getWidth();
int h = image.getHeight();
System.out.println("Get Area: " + new Date() + " - " + name);
Area area = getOutline(image, color, include, tolerance);
System.out.println("Got Area: " + new Date() + " - " + name);
final BufferedImage result = drawOutline(w,h,area);
displayAndWriteImage(result, name);
return result;
}
public static void displayAndWriteImage(BufferedImage image, String fileName) throws Exception {
ImageIO.write(image, "png", new File(fileName));
JOptionPane.showMessageDialog(null, new JLabel(new ImageIcon(image)));
}
public static void main(String[] args) throws Exception {
final BufferedImage outline = ImageIO.read(new File("motorcycle.jpg"));
BufferedImage crop = outline.getSubimage(17,35,420,270);
displayAndWriteImage(crop, "motorcycle-01.png");
BufferedImage crude = createAndWrite(crop, Color.white, false, 60, "motorcycle-02.png");
BufferedImage combo = createAndWrite(crude, Color.red, true, 0, "motorcycle-03.png");
}
}
Ответ 2
Функция getArea_FastHack основана на работе Эндрю Томпсона, что было очень полезно.
Однако шахта должна быть быстрее:
(//Edit: и sloppier тоже)
import java.awt.*;
import java.awt.geom.Area;
import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
import java.io.File;
import java.io.IOException;
/**
* CustomShape
* based on a Class from Andrew Thompson *
* Source: http://stackoverflow.com/questions/7052422/image-graphic-into-a-shape-in-java/7059497#7059497
* @author Samuel Schneider, Andrew Thompson
*
*
*/
class CustomShape {
private BufferedImage image=null;
/**
* Creates an Area with PixelPerfect precision
* @param color The color that is draws the Custom Shape
* @param tolerance The color tolerance
* @return Area
*/
public Area getArea(Color color, int tolerance) {
if(image==null) return null;
Area area = new Area();
for (int x=0; x<image.getWidth(); x++) {
for (int y=0; y<image.getHeight(); y++) {
Color pixel = new Color(image.getRGB(x,y));
if (isIncluded(color, pixel, tolerance)) {
Rectangle r = new Rectangle(x,y,1,1);
area.add(new Area(r));
}
}
}
return area;
}
public Area getArea_FastHack() {
//Assumes Black as Shape Color
if(image==null) return null;
Area area = new Area();
Rectangle r;
int y1,y2;
for (int x=0; x<image.getWidth(); x++) {
y1=99;
y2=-1;
for (int y=0; y<image.getHeight(); y++) {
Color pixel = new Color(image.getRGB(x,y));
//-16777216 entspricht RGB(0,0,0)
if (pixel.getRGB()==-16777216) {
if(y1==99) {y1=y;y2=y;}
if(y>(y2+1)) {
r = new Rectangle(x,y1,1,y2-y1);
area.add(new Area(r));
y1=y;y2=y;
}
y2=y;
}
}
if((y2-y1)>=0) {
r = new Rectangle(x,y1,1,y2-y1);
area.add(new Area(r));
}
}
return area;
}
public static boolean isIncluded(Color target, Color pixel, int tolerance) {
int rT = target.getRed();
int gT = target.getGreen();
int bT = target.getBlue();
int rP = pixel.getRed();
int gP = pixel.getGreen();
int bP = pixel.getBlue();
return(
(rP-tolerance<=rT) && (rT<=rP+tolerance) &&
(gP-tolerance<=gT) && (gT<=gP+tolerance) &&
(bP-tolerance<=bT) && (bT<=bP+tolerance) );
}
public CustomShape(String path) {
try {
BufferedImage image = ImageIO.read(new File(path));
this.image = image;
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
Ответ 3
Здесь что-то более быстрое, но менее точное, полезно для проверки столкновений или 2D-физики.
Point[] MakePoly(BufferedImage spr,int d,int angle){
//creates an outline of a transparent image, points are stored in an array
//arg0 - BufferedImage source image
//arg1 - Int detail (lower = better)
//arg2 - Int angle threshold in degrees (will remove points with angle differences below this level; 15 is a good value)
// making this larger will make the body faster but less accurate;
int w= spr.getWidth(null); int h= spr.getHeight(null);
// increase array size from 255 if needed
int[] vertex_x=new int[255], vertex_y=new int[255], vertex_k=new int[255];
int numPoints=0, tx=0,ty=0,fy=-1,lx=0,ly=0; vertex_x[0]=0; vertex_y[0]=0; vertex_k[0]=1;
for (tx=0;tx<w;tx+=d) for (ty=0;ty<h;ty+=1) if((spr.getRGB(tx,ty)>>24) != 0x00 )
{vertex_x[numPoints]=tx; vertex_y[numPoints]=h-ty; vertex_k[numPoints]=1; numPoints++; if (fy<0) fy=ty; lx=tx; ly=ty; break; }
for (ty=0;ty<h;ty+=d) for (tx=w-1;tx>=0;tx-=1) if((spr.getRGB(tx,ty)>>24) != 0x00 && ty > ly)
{vertex_x[numPoints]=tx; vertex_y[numPoints]=h-ty; vertex_k[numPoints]=1; numPoints++; lx=tx; ly=ty; break; }
for (tx=w-1;tx>=0;tx-=d) for (ty=h-1;ty>=0;ty-=1) if((spr.getRGB(tx,ty)>>24) != 0x00 && tx < lx)
{vertex_x[numPoints]=tx; vertex_y[numPoints]=h-ty; vertex_k[numPoints]=1; numPoints ++; lx=tx; ly=ty; break; }
for (ty=h-1;ty>=0;ty-=d) for (tx=0;tx<w;tx+=1) if((spr.getRGB(tx,ty)>>24) != 0x00 && ty < ly && ty > fy)
{vertex_x[numPoints]=tx; vertex_y[numPoints]=h-ty; vertex_k[numPoints]=1; numPoints ++; lx=tx; ly=ty; break; }
double ang1,ang2; for (int i=0;i<numPoints-2;i++) {
ang1 = PointDirection(vertex_x[i],vertex_y[i], vertex_x[i+1],vertex_y[i+1]);
ang2 = PointDirection(vertex_x[i+1],vertex_y[i+1], vertex_x[i+2],vertex_y[i+2]);
if (Math.abs(ang1-ang2) <= angle) vertex_k[i+1] = 0; }
ang1 = PointDirection(vertex_x[numPoints-2],vertex_y[numPoints-2], vertex_x[numPoints-1],vertex_y[numPoints-1]);
ang2 = PointDirection(vertex_x[numPoints-1],vertex_y[numPoints-1], vertex_x[0],vertex_y[0]);
if (Math.abs(ang1-ang2) <= angle) vertex_k[numPoints-1] = 0;
ang1 = PointDirection(vertex_x[numPoints-1],vertex_y[numPoints-1], vertex_x[0],vertex_y[0]);
ang2 = PointDirection(vertex_x[0],vertex_y[0], vertex_x[1],vertex_y[1]);
if (Math.abs(ang1-ang2) <= angle) vertex_k[0] = 0;
int n=0;for (int i=0;i<numPoints;i++)if(vertex_k[i]==1)n++;
Point[] poly= new Point[n]; n=0; for (int i=0;i<numPoints;i++) if (vertex_k[i]==1)
{ poly[n]=new Point(); poly[n].x=vertex_x[i]; poly[n].y=h-vertex_y[i];n++;} return poly;
}
double PointDirection(double xfrom,double yfrom,double xto,double yto){
return Math.atan2(yto-yfrom,xto-xfrom)*180/Math.PI ;
}