import java.util.Scanner; //输入的
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public class ABS { //外面建的点 java的文件名必须和这个一样
public static int a[] = new int[12000];
static void p(int n, int index) //搜索
{
int i;
if(n = 0) //当n为0的时候输出这种情况
{
System.out.print(a[0]);
for(i = 1; i index; System.out.print(" + " + a[i++]));
System.out.print("\n");
return; //返回到函数调用的地方
}
for(i = index 0 (n = a[index - 1]) ? a[index - 1] : n; i 0; i--)
{ //如果 数组下标大于0且 n剩余的值大于等于上一个的值，那么i就等于上一个的值， 否则i就等于n
a[index] = i;
p(n - i, index + 1); //在次调用
}
}
public static void main(String[] args) {
Scanner in = new Scanner(System.in); //从控制台中读取输入数据
int t;
t = in.nextInt(); //输入一个整数
if(t = 10000)
{
System.out.println("你输入的数据超过1万， 太大咯！！！");
return ;
}
p(t,0);
in.close(); // 关闭输入
return ;
}
}
这个只是可以实现10000 以内的数， 如果想大一点 就把数组开大一点局可以了！
getSubimage方法是进行图片裁剪。
举例：
public static void main(String[] args) {
try {
//从特定文件载入
BufferedImage bi = ImageIO.read(new File("c:\\test.png"));
bi.getSubimage(0, 0, 10, 10);//前两个值是坐标位置X、Y，后两个是长和宽
} catch (IOException e) {
e.printStackTrace();
}
}
以下是进行的图片压缩，涉及到多个工具类。
/**
* 图片工具类
* 压缩图片大小
* @author Cyw
* @version 1.0
*/
public class ZIPImage {
private File file = null;
private String outPutFilePath;
private String inPutFilePath;
private String inPutFileName;
private boolean autoBuildFileName;
private String outPutFileName;
private int outPutFileWidth = 100; // 默认输出图片宽
private int outPutFileHeight = 100; // 默认输出图片高
private static boolean isScaleZoom = true; // 是否按比例缩放
public ZIPImage() {
outPutFilePath = "";
inPutFilePath = "";
inPutFileName = "";
autoBuildFileName = true;
outPutFileName = "";
}
/**
*
* @param ipfp
* 源文件夹路径
* @param ipfn
* 源文件名
* @param opfp
* 目标文件路径
* @param opfn
* 目标文件名
*/
public ZIPImage(String ipfp, String ipfn, String opfp, String opfn) {
outPutFilePath = opfp;
inPutFilePath = ipfp;
inPutFileName = ipfn;
autoBuildFileName = true;
outPutFileName = opfn;
}
/**
*
* @param ipfp
* 源文件夹路径
* @param ipfn
* 源文件名
* @param opfp
* 目标文件路径
* @param opfn
* 目标文件名
* @param aBFN
* 是否自动生成目标文件名
*/
public ZIPImage(String ipfp, String ipfn, String opfp, String opfn,
boolean aBFN) {
outPutFilePath = opfp;
inPutFilePath = ipfp;
inPutFileName = ipfn;
autoBuildFileName = aBFN;
outPutFileName = opfn;
}
public boolean isAutoBuildFileName() {
return autoBuildFileName;
}
public void setAutoBuildFileName(boolean autoBuildFileName) {
this.autoBuildFileName = autoBuildFileName;
}
public String getInPutFilePath() {
return inPutFilePath;
}
public void setInPutFilePath(String inPutFilePath) {
this.inPutFilePath = inPutFilePath;
}
public String getOutPutFileName() {
return outPutFileName;
}
public void setOutPutFileName(String outPutFileName) {
this.outPutFileName = outPutFileName;
}
public String getOutPutFilePath() {
return outPutFilePath;
}
public void setOutPutFilePath(String outPutFilePath) {
this.outPutFilePath = outPutFilePath;
}
public int getOutPutFileHeight() {
return outPutFileHeight;
}
public void setOutPutFileHeight(int outPutFileHeight) {
this.outPutFileHeight = outPutFileHeight;
}
public int getOutPutFileWidth() {
return outPutFileWidth;
}
public void setOutPutFileWidth(int outPutFileWidth) {
this.outPutFileWidth = outPutFileWidth;
}
public boolean isScaleZoom() {
return isScaleZoom;
}
public void setScaleZoom(boolean isScaleZoom) {
this.isScaleZoom = isScaleZoom;
}
public String getInPutFileName() {
return inPutFileName;
}
public void setInPutFileName(String inPutFileName) {
this.inPutFileName = inPutFileName;
}
/**
* 压缩图片大小
*
* @return boolean
*/
public boolean compressImage() {
boolean flag = false;
try {
if (inPutFilePath.trim().equals("")) {
throw new NullPointerException("源文件夹路径不存在。");
}
if (inPutFileName.trim().equals("")) {
throw new NullPointerException("图片文件路径不存在。");
}
if (outPutFilePath.trim().equals("")) {
throw new NullPointerException("目标文件夹路径地址为空。");
} else {
if (!ZIPImage.mddir(outPutFilePath)) {
throw new FileNotFoundException(outPutFilePath
+ " 文件夹创建失败！");
}
}
if (this.autoBuildFileName) { // 自动生成文件名
String tempFile[] = getFileNameAndExtName(inPutFileName);
outPutFileName = tempFile[0] + "_cyw." + tempFile[1];
compressPic();
} else {
if (outPutFileName.trim().equals("")) {
throw new NullPointerException("目标文件名为空。");
}
compressPic();
}
} catch (Exception e) {
flag = false;
e.printStackTrace();
return flag;
}
return flag;
}
// 图片处理
private void compressPic() throws Exception {
try {
// 获得源文件
file = new File(inPutFilePath + inPutFileName);
if (!file.exists()) {
throw new FileNotFoundException(inPutFilePath + inPutFileName
+ " 文件不存在！");
}
Image img = ImageIO.read(file);
// 判断图片格式是否正确
if (img.getWidth(null) == -1) {
throw new Exception("文件不可读！");
} else {
int newWidth;
int newHeight;
// 判断是否是等比缩放
if (ZIPImage.isScaleZoom == true) {
// 为等比缩放计算输出的图片宽度及高度
double rate1 = ((double) img.getWidth(null))
/ (double) outPutFileWidth + 0.1;
double rate2 = ((double) img.getHeight(null))
/ (double) outPutFileHeight + 0.1;
// 根据缩放比率大的进行缩放控制
double rate = rate1 rate2 ? rate1 : rate2;
newWidth = (int) (((double) img.getWidth(null)) / rate);
newHeight = (int) (((double) img.getHeight(null)) / rate);
} else {
newWidth = outPutFileWidth; // 输出的图片宽度
newHeight = outPutFileHeight; // 输出的图片高度
}
BufferedImage tag = new BufferedImage((int) newWidth,
(int) newHeight, BufferedImage.TYPE_INT_RGB);
/*
* Image.SCALE_SMOOTH 的缩略算法 生成缩略图片的平滑度的 优先级比速度高 生成的图片质量比较好 但速度慢
*/
tag.getGraphics().drawImage(
img.getScaledInstance(newWidth, newHeight,
Image.SCALE_SMOOTH), 0, 0, null);
FileOutputStream out = new FileOutputStream(outPutFilePath
+ outPutFileName);
JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(out);
encoder.encode(tag);
out.close();
}
} catch (IOException ex) {
ex.printStackTrace();
}
}
/**
* 创建文件夹目录
*
* @param filePath
* @return
* @throws Exception
*/
@SuppressWarnings("unused")
private static boolean mddir(String filePath) throws Exception {
boolean flag = false;
File f = new File(filePath);
if (!f.exists()) {
flag = f.mkdirs();
} else {
flag = true;
}
return flag;
}
/**
* 获得文件名和扩展名
*
* @param fullFileName
* @return
* @throws Exception
*/
private String[] getFileNameAndExtName(String fullFileName)
throws Exception {
String[] fileNames = new String[2];
if (fullFileName.indexOf(".") == -1) {
throw new Exception("源文件名不正确！");
} else {
fileNames[0] = fullFileName.substring(0, fullFileName
.lastIndexOf("."));
fileNames[1] = fullFileName
.substring(fullFileName.lastIndexOf(".") + 1);
}
return fileNames;
}
public Image getSourceImage() throws IOException{
//获得源文件
file = new File(inPutFilePath + inPutFileName);
if (!file.exists()) {
throw new FileNotFoundException(inPutFilePath + inPutFileName
+ " 文件不存在！");
}
Image img = ImageIO.read(file);
return img;
}
/*
* 获得图片大小
* @path ：图片路径
*/
public long getPicSize(String path) {
File file = new File(path);
return file.length();
}
}
//下面是测试程序
package com.sun.util.cyw;
import java.awt.Image;
import java.io.IOException;
public class ImageTest {
public static void main(String[] args) throws IOException {
ZIPImage zip=new ZIPImage("d:\\","1.jpg","d:\\test\\","处理后的图片.jpg",false);
zip.setOutPutFileWidth(1000);
zip.setOutPutFileHeight(1000);
Image image=zip.getSourceImage();
long size=zip.getPicSize("d:\\1.jpg");
System.out.println("处理前的图片大小 width:"+image.getWidth(null));
System.out.println("处理前的图片大小 height:"+image.getHeight(null));
System.out.println("处理前的图片容量:"+ size +" bit");
zip.compressImage();
}
}
用imageIO 读取进入BufferedImage，检测图片非空白大小，建立新的BufferedImage，拷贝非空白区至新的BufferedImage, 用imageIO 再次保存。
还有下面的
C++中AO裁剪关键代码
ITopologicalOperatorPtr ipTopolog(CLSID_Line);
long lCount = 0;
while (SUCCEEDED(ipSorCursor-NextFeature(ipFeature))
(NULL != ipFeature)) {
result = ipFeature-get_Shape(ipGeometry);
if (FAILED(result) || NULL == ipGeometry) {
TRACE("%ld\n", result);
continue;
}
((IZAwarePtr)ipGeometry)-put_ZAware(VARIANT_FALSE);
((IMAwarePtr)ipGeometry)-put_MAware(VARIANT_FALSE);
// 入库图形都需要裁剪才能入库的。
ipTopolog = ipGeometry;
result = ipTopolog-Intersect((IGeometryPtr)ipGridPolygon, esriGeometry1Dimension, ipResult);
if (FAILED(result) || NULL == ipResult) {
TRACE("%ld\n", result);
continue;
}
result = ipResult-get_IsEmpty(vb);
if (VARIANT_TRUE == vb) {
TRACE("%ld\n", result);
continue;
}
...
}
希望可以帮到你