package util;
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import java.awt.Graphics;
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import java.awt.Image;
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import java.awt.Toolkit;
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import java.awt.color.ColorSpace;
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import java.awt.image.BufferedImage;
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import java.awt.image.ColorConvertOp;
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import java.awt.image.CropImageFilter;
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import java.awt.image.FilteredImageSource;
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import java.awt.image.ImageFilter;
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import java.io.File;
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import java.io.IOException;
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import javax.imageio.ImageIO;
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public class ImageCut {
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/**
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*
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* 缩放图像
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*
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* @param srcImageFile源图像文件地址
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*
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* @param result缩放后的图像地址
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*
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* @param scale缩放比例
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*
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* @param flag缩放选择
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* :true 放大; false 缩小;
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*/
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public static void scale(String srcImageFile, String result, String type,double scale,
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boolean flag) {
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try {
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BufferedImage src = ImageIO.read(new File(srcImageFile)); // 读入文件
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int width = src.getWidth(); // 得到源图宽
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int height = src.getHeight(); // 得到源图长
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if (flag) {// 放大
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width = Double.valueOf((width * scale)).intValue();
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height = Double.valueOf((height * scale)).intValue();
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} else {// 缩小
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width = Double.valueOf((width / scale)).intValue();
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height = Double.valueOf((height / scale)).intValue();
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}
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Image image = src.getScaledInstance(width, height,
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Image.SCALE_DEFAULT);
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BufferedImage tag = new BufferedImage(width, height,
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BufferedImage.TYPE_INT_RGB);
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Graphics g = tag.getGraphics();
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g.drawImage(image, 0, 0, null); // 绘制缩小后的图
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g.dispose();
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ImageIO.write(tag, type, new File(result));// 输出到文件流
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} catch (IOException e) {
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e.printStackTrace();
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}
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}
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/**
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*
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* 图像切割
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*
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* @param srcImageFile源图像地址
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*
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* @param descDir切片目标文件夹
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*
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* @param destWidth目标切片宽度
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*
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* @param destHeight目标切片高度
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*/
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public static void cut(String srcImageFile, String descDir, int destWidth,
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int destHeight) {
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try {
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Image img;
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ImageFilter cropFilter; // 读取源图像
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BufferedImage bi = ImageIO.read(new File(srcImageFile));
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int srcWidth = bi.getHeight(); // 源图宽度
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int srcHeight = bi.getWidth(); // 源图高度
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if (srcWidth > destWidth && srcHeight > destHeight) {
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Image image = bi.getScaledInstance(srcWidth, srcHeight,
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Image.SCALE_DEFAULT);
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destWidth = 200; // 切片宽度
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destHeight = 150; // 切片高度
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int cols = 0; // 切片横向数量
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int rows = 0; // 切片纵向数量
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// 计算切片的横向和纵向数量
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if (srcWidth % destWidth == 0) {
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cols = srcWidth / destWidth;
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} else {
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cols = (int) Math.floor(srcWidth / destWidth) + 1;
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}
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if (srcHeight % destHeight == 0) {
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rows = srcHeight / destHeight;
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} else {
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rows = (int) Math.floor(srcHeight / destHeight) + 1;
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}
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// 循环建立切片
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// 改进的想法:是否可用多线程加快切割速度
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for (int i = 0; i < rows; i++) {
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for (int j = 0; j < cols; j++) {
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// 四个参数分别为图像起点坐标和宽高
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// 即: CropImageFilter(int x,int y,int width,int height)
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cropFilter = new CropImageFilter(j * 200, i * 150,
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destWidth, destHeight);
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img = Toolkit.getDefaultToolkit().createImage(
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new FilteredImageSource(image.getSource(),
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cropFilter));
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BufferedImage tag = new BufferedImage(destWidth,
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destHeight, BufferedImage.TYPE_INT_RGB);
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Graphics g = tag.getGraphics();
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g.drawImage(img, 0, 0, null); // 绘制缩小后的图
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g.dispose();
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// 输出为文件
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ImageIO.write(tag, "JPEG", new File(descDir
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+ "pre_map_" + i + "_" + j + ".jpg"));
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}
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}
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}
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} catch (Exception e) {
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e.printStackTrace();
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}
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}
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// 图像类型转换GIF->JPG GIF->PNG PNG->JPG PNG->GIF(X)
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public static void convert(String source, String result) {
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try {
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File f = new File(source);
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f.canRead();
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f.canWrite();
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BufferedImage src = ImageIO.read(f);
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ImageIO.write(src, "JPG", new File(result));
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} catch (Exception e) {
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// TODO Auto-generated catch block
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e.printStackTrace();
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}
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}
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// 彩色转为黑白
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public static void gray(String source, String result) {
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try {
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BufferedImage src = ImageIO.read(new File(source));
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ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);
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ColorConvertOp op = new ColorConvertOp(cs, null);
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src = op.filter(src, null);
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ImageIO.write(src, "JPEG", new File(result));
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} catch (IOException e) {
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e.printStackTrace();
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}
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}
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public static void main(String[] args) {
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double s = 1024;
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int e = 500;
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double scale = s/e;
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String src = "E:\\apache-tomcat-6.0.37\\wtpwebapps\\mcp0917\\upload\\images\\2c9287a341ca74320141ca76181e0001\\5453797376338493.jpg";
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scale(src,"E:\\apache-tomcat-6.0.37\\wtpwebapps\\mcp0917\\upload\\images\\2c9287a341ca74320141ca76181e0001\\5453797376338493.jpg","jpg",scale,false);
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}
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}
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