java - 如何找到 BufferedImage 中对象的范围
java - How do I find the extents of an object within a BufferedImage
所以我试图在 png 图像中找到对象的上、下、左和右范围。图像具有透明背景和中间的黑色圆圈。如何找到圆圈(全黑)的上、下、左、右范围,从而将圆圈与透明背景隔离开来?
到目前为止我尝试了什么:
public static BufferedImage trimImage(BufferedImage image) {
int left = 0, right = 0, up = 0, down = 0;
for(int i = 0; i<image.getHeight(); i++) {
for(int j = 0; j<image.getWidth(); j++) {
if(image.getRGB(j, i)==0) {
up = i;
break;
}
}
}
for(int i = 0; i<image.getWidth(); i++) {
for(int j = 0; j<image.getHeight(); j++) {
if(image.getRGB(i, j)==0) {
left = i;
break;
}
}
}
for(int i = 0; i<image.getHeight(); i++) {
for(int j = 0; j<image.getWidth(); j++) {
if(image.getRGB(j, i)==0&&i>down) {
down = i;
}
}
}
for(int i = 0; i<image.getWidth(); i++) {
for(int j = 0; j<image.getHeight(); j++) {
if(image.getRGB(i, j)==0&&i>down) {
right = i;
}
}
}
System.out.println(up+","+down+","+left+","+right);
BufferedImage temp = image.getSubimage(left, up, right-left, down-up);
return temp;
}
你知道更简单的方法吗?这给了我以下错误:
Exception in thread "main" java.awt.image.RasterFormatException: (x + width) is outside raster
感谢任何帮助。谢谢!
编辑:这是完整的 stackTrace():
Exception in thread "main" java.awt.image.RasterFormatException: (x + width) is outside raster
at sun.awt.image.IntegerInterleavedRaster.createWritableChild(Unknown Source)
at java.awt.image.BufferedImage.getSubimage(Unknown Source)
at main.ImageHandler.trimLetter(ImageHandler.java:114)
at main.HandwritingReader.<init>(HandwritingReader.java:48)
at main.HandwritingReader.main(HandwritingReader.java:55)
考虑左边是最低的x坐标,顶部是最低的y坐标,右边是最高的x坐标,底部是最高的y坐标。
int left = Integer.MAX_VALUE;
int right = 0;
int top = Integer.MAX_VALUE;
int bottom = 0;
for(int i = 0; i<image.getWidth(); i++) {
for(int j = 0; j<image.getHeight(); j++) {
if(image.getRGB(i, j)==0) {
left = Math.min(left, i);
right = Math.max(right, i);
top = Math.min(top, j);
bottom = Math.max(bottom, j);
}
}
}
这应该会在循环完成时为您提供边界。
我制作了示例图像并进行了试用。
BufferedImage image = new BufferedImage(256, 256, BufferedImage.TYPE_INT_ARGB);
Graphics g = image.getGraphics();
g.setColor(Color.BLACK);
g.fillOval(25, 25, 32, 32);
g.dispose();
在这种情况下,我必须检查是否 image.getRGB() != 0
因为透明像素为 0,但黑色像素具有 255 alpha 值。
所以我试图在 png 图像中找到对象的上、下、左和右范围。图像具有透明背景和中间的黑色圆圈。如何找到圆圈(全黑)的上、下、左、右范围,从而将圆圈与透明背景隔离开来?
到目前为止我尝试了什么:
public static BufferedImage trimImage(BufferedImage image) {
int left = 0, right = 0, up = 0, down = 0;
for(int i = 0; i<image.getHeight(); i++) {
for(int j = 0; j<image.getWidth(); j++) {
if(image.getRGB(j, i)==0) {
up = i;
break;
}
}
}
for(int i = 0; i<image.getWidth(); i++) {
for(int j = 0; j<image.getHeight(); j++) {
if(image.getRGB(i, j)==0) {
left = i;
break;
}
}
}
for(int i = 0; i<image.getHeight(); i++) {
for(int j = 0; j<image.getWidth(); j++) {
if(image.getRGB(j, i)==0&&i>down) {
down = i;
}
}
}
for(int i = 0; i<image.getWidth(); i++) {
for(int j = 0; j<image.getHeight(); j++) {
if(image.getRGB(i, j)==0&&i>down) {
right = i;
}
}
}
System.out.println(up+","+down+","+left+","+right);
BufferedImage temp = image.getSubimage(left, up, right-left, down-up);
return temp;
}
你知道更简单的方法吗?这给了我以下错误:
Exception in thread "main" java.awt.image.RasterFormatException: (x + width) is outside raster
感谢任何帮助。谢谢!
编辑:这是完整的 stackTrace():
Exception in thread "main" java.awt.image.RasterFormatException: (x + width) is outside raster
at sun.awt.image.IntegerInterleavedRaster.createWritableChild(Unknown Source)
at java.awt.image.BufferedImage.getSubimage(Unknown Source)
at main.ImageHandler.trimLetter(ImageHandler.java:114)
at main.HandwritingReader.<init>(HandwritingReader.java:48)
at main.HandwritingReader.main(HandwritingReader.java:55)
考虑左边是最低的x坐标,顶部是最低的y坐标,右边是最高的x坐标,底部是最高的y坐标。
int left = Integer.MAX_VALUE;
int right = 0;
int top = Integer.MAX_VALUE;
int bottom = 0;
for(int i = 0; i<image.getWidth(); i++) {
for(int j = 0; j<image.getHeight(); j++) {
if(image.getRGB(i, j)==0) {
left = Math.min(left, i);
right = Math.max(right, i);
top = Math.min(top, j);
bottom = Math.max(bottom, j);
}
}
}
这应该会在循环完成时为您提供边界。
我制作了示例图像并进行了试用。
BufferedImage image = new BufferedImage(256, 256, BufferedImage.TYPE_INT_ARGB);
Graphics g = image.getGraphics();
g.setColor(Color.BLACK);
g.fillOval(25, 25, 32, 32);
g.dispose();
在这种情况下,我必须检查是否 image.getRGB() != 0
因为透明像素为 0,但黑色像素具有 255 alpha 值。