PictureCutter
/**
* Created by IntelliJ IDEA.
* Date: 11-10-26
* Time: 下午2:46
* To change this template use File | Settings | File Templates.
*/
import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.color.ColorSpace;
import java.awt.image.*;
import java.io.File;
import java.io.IOException;
public class PictureCutter {
/**
* 缩放图像
*
* @param srcImageFile 源图像文件地址
* @param result 缩放后的图像地址
* @param scale 缩放比例 (新的高/旧的高)
*/
public static void scale(String srcImageFile, String result, long scale) {
try {
BufferedImage src = ImageIO.read(new File(srcImageFile)); // 读入文件
int width = src.getWidth(); // 得到源图宽
int height = src.getHeight(); // 得到源图长
// 放大
width = (int) (width * scale);
height = (int) (height * scale);
Image image = src.getScaledInstance(width, height,
Image.SCALE_DEFAULT);
BufferedImage tag = new BufferedImage(width, height,
BufferedImage.TYPE_INT_RGB);
Graphics g = tag.getGraphics();
g.drawImage(image, 0, 0, null); // 绘制缩小后的图
g.dispose();
ImageIO.write(tag, “JPEG”, new File(result));// 输出到文件流
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* 图像切割
*
* @param srcImageFile 源图像地址
* @param descDir 切片目标文件夹
* @param destWidth 目标切片宽度
* @param destHeight 目标切片高度
*/
public static void cut(String srcImageFile, final String descDir, final int destWidth,
final int destHeight) {
try {
// 读取源图像
BufferedImage bi = ImageIO.read(new File(srcImageFile));
final int srcWidth = bi.getHeight(); // 源图宽度
final int srcHeight = bi.getWidth(); // 源图高度
//如果源图片的宽度和长度都小于目标图片，不用处理。
if (srcWidth <= destWidth && srcHeight <= destHeight) return;
// 计算切片的横向和纵向数量
int temp = srcWidth / destWidth;
int cols = srcWidth % destWidth == 0 ? temp : temp + 1; // 切片横向数量
temp = srcHeight / destHeight;
int rows = srcHeight % destHeight == 0 ? temp : temp + 1; //切片纵向数量
// 循环建立切片
// 改进的想法:是否可用多线程加快切割速度
final Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
long bg = System.currentTimeMillis();
// 四个参数分别为图像起点坐标和宽高
// 即: CropImageFilter(int x,int y,int width,int height)
ImageFilter cropFilter = new CropImageFilter(j * destWidth, i * destHeight, Math.min(destWidth, srcWidth – j * destWidth), Math.min(srcHeight – i * destHeight, destHeight));
ImageProducer imgProducer = image.getSource();
Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(imgProducer, cropFilter));
BufferedImage tag = new BufferedImage(Math.min(destWidth, srcWidth – j * destWidth), Math.min(srcHeight – i * destHeight, destHeight), BufferedImage.TYPE_INT_RGB);
Graphics g = tag.getGraphics();
g.drawImage(img, 0, 0, null); // 绘制小图
g.dispose();
// 输出为文件
String small_pic_name_path = descDir + “map_” + i + “_” + j + “.jpg”;
ImageIO.write(tag, “JPEG”, new File(small_pic_name_path));
System.out.println(“Thread” + Thread.currentThread().getId() + “\t切割第\t” + i + “_” + j + “\t张图片，耗时：\t” + (System.currentTimeMillis() – bg) + ” 毫秒”);
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 图像类型转换
* GIF->JPG GIF->PNG PNG->JPG PNG->GIF(X)
*/
public static void convert(String source, String result) {
try {
File f = new File(source);
f.canRead();
f.canWrite();
BufferedImage src = ImageIO.read(f);
ImageIO.write(src, “JPG”, new File(result));
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
/**
* 彩色转为黑白
*
* @param source
* @param result
*/
public static void gray(String source, String result) {
try {
BufferedImage src = ImageIO.read(new File(source));
ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);
ColorConvertOp op = new ColorConvertOp(cs, null);
src = op.filter(src, null);
ImageIO.write(src, “JPEG”, new File(result));
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* @param args 3X2 4X3 4X4 5X4
*/
public static void main(String[] args) {
// if(1==1){
// return;
// }
//cut(“ss.jpg”, “./ss/”, 256, 256);
PictureCutter.scale(“c://1.jpg”, “c://2.jpg”, 2);
// Properties p= System.getProperties();
// System.out.println(p);
}
public static void cut1(String srcImageFile, final String descDir, final int destWidth,
final int destHeight) {
try {
// 读取源图像
BufferedImage bi = ImageIO.read(new File(srcImageFile));
final int srcWidth = bi.getHeight(); // 源图宽度
final int srcHeight = bi.getWidth(); // 源图高度
//如果源图片的宽度和长度都小于目标图片，不用处理。
if (srcWidth <= destWidth && srcHeight <= destHeight) return;
// 计算切片的横向和纵向数量
int temp = srcWidth / destWidth;
int cols = srcWidth % destWidth == 0 ? temp : temp + 1; // 切片横向数量
temp = srcHeight / destHeight;
int rows = srcHeight % destHeight == 0 ? temp : temp + 1; //切片纵向数量
// 循环建立切片
// 改进的想法:是否可用多线程加快切割速度
final Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
long bg = System.currentTimeMillis();
// 四个参数分别为图像起点坐标和宽高
// 即: CropImageFilter(int x,int y,int width,int height)
ImageFilter cropFilter = new CropImageFilter(j * destWidth, i * destHeight, Math.min(destWidth, srcWidth – j * destWidth), Math.min(srcHeight – i * destHeight, destHeight));
ImageProducer imgProducer = image.getSource();
Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(imgProducer, cropFilter));
BufferedImage tag = new BufferedImage(Math.min(destWidth, srcWidth – j * destWidth), Math.min(srcHeight – i * destHeight, destHeight), BufferedImage.TYPE_INT_RGB);
Graphics g = tag.getGraphics();
g.drawImage(img, 0, 0, null); // 绘制小图
g.dispose();
// 输出为文件
String small_pic_name_path = descDir + “map_” + i + “_” + j + “.jpg”;
ImageIO.write(tag, “JPEG”, new File(small_pic_name_path));
System.out.println(“Thread” + Thread.currentThread().getId() + “\t切割第\t” + i + “_” + j + “\t张图片，耗时：\t” + (System.currentTimeMillis() – bg) + ” 毫秒”);
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
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