java程序中如何分割图片和对图片的其它操作
package com.langhua.cutFile;import java.io.*; import java.awt.*; import java.awt.image.*; import java.awt.Graphics; import java.awt.color.ColorSpace; import javax.imageio.ImageIO; import com.langhua.ImageUtils.ImageUtils;public class ChangeImageSize { /** *//** * 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 * @param flag 缩放选择:true 放大; false 缩小; */ public static void scale(String srcImageFile, String result, int scale, boolean flag) { 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 if (flag) { // 放大 width = width * scale; height = height * scale; } else { // 缩小 width = width / scale; height = 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, String descDir, int destWidth, int destHeight) { try { Image img; ImageFilter cropFilter; String dir = null; // 读取源图像 BufferedImage bi = ImageIO.read(new File(srcImageFile)); int srcWidth = bi.getHeight(); // 源图宽度 int srcHeight = bi.getWidth(); // 源图高度 System.out.println("srcWidth:"+srcWidth); System.out.println("srcHeight:"+srcHeight); if (srcWidth > destWidth && srcHeight > destHeight) { Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT); destWidth = 300; // 切片宽度 destHeight = 300; // 切片高度 int cols = 0; // 切片横向数量 int rows = 0; // 切片纵向数量 // 计算切片的横向和纵向数量 if (srcWidth % destWidth == 0) { cols = srcWidth / destWidth; } else { cols = (int) Math.floor(srcWidth / destWidth) + 1; } if (srcHeight % destHeight == 0) { rows = srcHeight / destHeight; } else { rows = (int) Math.floor(srcHeight / destHeight) + 1; } // 循环建立切片 for (int i = 0; i < rows; i++) { for (int j = 0; j < cols; j++) { // 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) cropFilter = new CropImageFilter(j * 300, i * 300, destWidth, destHeight); img = Toolkit.getDefaultToolkit().createImage( new FilteredImageSource(image.getSource(), cropFilter)); BufferedImage tag = new BufferedImage(destWidth, destHeight, BufferedImage.TYPE_INT_RGB); Graphics g = tag.getGraphics(); g.drawImage(img, 0, 0, null); // 绘制缩小后的图 g.dispose(); // 输出为文件 dir = descDir + "cut_image_" + i + "_" + j + ".jpg"; File f = new File(dir); ImageIO.write(tag, "JPEG",f); System.out.println(dir); ImageUtils.pressText("水印",dir,"宋体",1,1,25,10,10); } } } } 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 */ public static void main(String[] args) { //scale("c:\\test\\456.jpg","C:\\test\\image1.jpg",2,false); //cut("c:\\1.jpg","C:\\2.jpg",64,64); //gray("c:\\test\\456.jpg","C:\\test\\image4.jpg"); } }优化后的图像分割
package com.langhua.cutFile;import java.awt.Rectangle;import java.awt.image.BufferedImage;import java.io.File;import java.io.FileInputStream;import java.io.IOException;import java.util.Iterator;import javax.imageio.ImageIO;import javax.imageio.ImageReadParam;import javax.imageio.ImageReader;import javax.imageio.stream.ImageInputStream;import com.langhua.ImageUtils.ImageUtils;public class CutImage {// 源图片路径名称如:c:\1.jpgprivate String srcpath;// 剪切图片存放路径名称.如:c:\2.jpgprivate String subpath;// 剪切点x坐标private int x;private int y;// 剪切点宽度private int width;private int height;public CutImage() {}public CutImage(int x, int y, int width, int height) {this.x = x;this.y = y;this.width = width;this.height = height;}/** * 对图片裁剪，并把裁剪完蛋新图片保存 。 */public void cut() throws IOException {FileInputStream is = null;ImageInputStream iis = null;try {// 读取图片文件is = new FileInputStream(srcpath);/** * 返回包含所有当前已注册 ImageReader 的 Iterator，这些 ImageReader 声称能够解码指定格式。 * 参数：formatName - 包含非正式格式名称 . （例如 "jpeg" 或 "tiff"）等 。 */Iterator<ImageReader> it = ImageIO.getImageReadersByFormatName("jpg");ImageReader reader = it.next();// 获取图片流iis = ImageIO.createImageInputStream(is);/** * iis:读取源.true:只向前搜索.将它标记为 ‘只向前搜索’。 此设置意味着包含在输入源中的图像将只按顺序读取，可能允许 * reader 避免缓存包含与以前已经读取的图像关联的数据的那些输入部分。 */reader.setInput(iis, true);/** * <p> * 描述如何对流进行解码的类 * <p> * .用于指定如何在输入时从 Java Image I/O 框架的上下文中的流转换一幅图像或一组图像。用于特定图像格式的插件 将从其 * ImageReader 实现的 getDefaultReadParam 方法中返回 ImageReadParam 的实例。 */ImageReadParam param = reader.getDefaultReadParam();/** * 图片裁剪区域。Rectangle 指定了坐标空间中的一个区域，通过 Rectangle 对象 * 的左上顶点的坐标（x，y）、宽度和高度可以定义这个区域。 */Rectangle rect = new Rectangle(x, y, width, height);// 提供一个 BufferedImage，将其用作解码像素数据的目标。param.setSourceRegion(rect);/** * 使用所提供的 ImageReadParam 读取通过索引 imageIndex 指定的对象，并将 它作为一个完整的 * BufferedImage 返回。 */BufferedImage bi = reader.read(0, param);// 保存新图片ImageIO.write(bi, "jpg", new File(subpath));} finally {if (is != null)is.close();if (iis != null)iis.close();}}/** * 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 返回一个List,保存九张图片的图片名 */public static java.util.List<String> cutImg(String srcImageFile,String descDir, int destWidth, int destHeight) {java.util.List<String> list = new java.util.ArrayList<String>(9);try {String dir = null;// 读取源图像BufferedImage bi = ImageIO.read(new File(srcImageFile));int srcWidth = bi.getHeight(); // 源图宽度int srcHeight = bi.getWidth(); // 源图高度if (srcWidth > destWidth && srcHeight > destHeight) {destWidth = 300; // 切片宽度destHeight = 300; // 切片高度int cols = 0; // 切片横向数量int rows = 0; // 切片纵向数量// 计算切片的横向和纵向数量if (srcWidth % destWidth == 0) {cols = srcWidth / destWidth;} else {cols = (int) Math.floor(srcWidth / destWidth) + 1;}if (srcHeight % destHeight == 0) {rows = srcHeight / destHeight;} else {rows = (int) Math.floor(srcHeight / destHeight) + 1;}// 循环建立切片for (int i = 0; i < rows; i++) {for (int j = 0; j < cols; j++) {CutImage cutImage = new CutImage(j * 300, i * 300, 300,300);cutImage.setSrcpath(srcImageFile);dir = descDir + "cut_image_" + i + "_" + j + ".jpg";cutImage.setSubpath(dir);cutImage.cut();list.add("cut_image_" + i + "_" + j + ".jpg");ImageUtils.pressText("水印", dir, "宋体", 1, 1, 25, 10, 10);}}}} catch (Exception e) {e.printStackTrace();}return list;}public int getHeight() {return height;}public void setHeight(int height) {this.height = height;}public String getSrcpath() {return srcpath;}public void setSrcpath(String srcpath) {this.srcpath = srcpath;}public String getSubpath() {return subpath;}public void setSubpath(String subpath) {this.subpath = subpath;}public int getWidth() {return width;}public void setWidth(int width) {this.width = width;}public int getX() {return x;}public void setX(int x) {this.x = x;}public int getY() {return y;}public void setY(int y) {this.y = y;}}
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