Java实现的微信图片处理工具类【裁剪，合并，等比例缩放等】
本文实例讲述了Java实现的微信图片处理工具类。分享给大家供大家参考，具体如下：
创新互联是一家专注于做网站、成都网站制作与策划设计,翁源网站建设哪家好?创新互联做网站,专注于网站建设十余年,网设计领域的专业建站公司;建站业务涵盖:翁源等地区。翁源做网站价格咨询:13518219792
现在 外面核心，图片文章比较少，看了拷贝代码，而用不了，用相应jar包处理，很多等比例缩放，达不到 想要的给予的期望:本工具类，是之前做微信打印机写的 基于java自带的类，基于rgb。
package com.zjpz.util;
import java.awt.Color;
import java.awt.Graphics;
import java.awt.Graphics2D;
import java.awt.RenderingHints;
import java.awt.geom.AffineTransform;
import java.awt.image.BufferedImage;
import java.awt.image.ColorModel;
import java.awt.image.WritableRaster;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* 微信图片处理工具
*
* @author zhuang.y
*
*/
public class PictureTool {
protected static Logger logger = LoggerFactory.getLogger(PictureTool.class);
public static void main(String[] args) throws IOException {
File fileOne = new File("c:\\1.jpg");
BufferedImage imageFirst = ImageIO.read(fileOne);
int border = 0;
imageFirst =crop(imageFirst,0,10,297,300);
File outFile = new File("d:\\2.jpg");
ImageIO.write(imageFirst, "jpg", outFile);// 写图片
}
/**
* 纵向合图的x坐标像素
*/
private final static int y_width = 645;
/**
* 标准图片的y坐标像素,920，是一般照片，1099是邮票照片
*/
private final static int y_height = 920;
/**
* 裁剪x坐标缩进像素
*/
private final static int x_retract = 50;
/**
* 裁剪y坐标缩进像素
*/
private final static int y_retract = 50;
/**
* 系统默认图片边框为20
*/
public final static int BORDER = 20;
/**
* 横向合成图片
*/
public static void xPic(String first, String second, String out) {
try {
/* 1 读取第一张图片 */
File fileOne = new File(first);
BufferedImage imageFirst = ImageIO.read(fileOne);
int width = imageFirst.getWidth();// 图片宽度
int height = imageFirst.getHeight();// 图片高度
int[] imageArrayFirst = new int[width * height];// 从图片中读取RGB
imageArrayFirst = imageFirst.getRGB(0, 0, width, height, imageArrayFirst, 0, width);
/* 1 对第二张图片做相同的处理 */
File fileTwo = new File(second);
BufferedImage imageSecond = ImageIO.read(fileTwo);
int widthTwo = imageSecond.getWidth();// 图片宽度
int heightTwo = imageSecond.getHeight();// 图片高度
int[] imageArraySecond = new int[widthTwo * heightTwo];
imageArraySecond = imageSecond.getRGB(0, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);
int h = height;
if (height < heightTwo) {
h = heightTwo;
}
// 生成新图片
BufferedImage imageResult = new BufferedImage(width + widthTwo, h, BufferedImage.TYPE_INT_RGB);
imageResult.setRGB(0, 0, width, height, imageArrayFirst, 0, width);// 设置左半部分的RGB
imageResult.setRGB(width, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 设置右半部分的RGB
File outFile = new File(out);
ImageIO.write(imageResult, "jpg", outFile);// 写图片
} catch (Exception e) {
logger.error("横向合成图片出错....", e);
}
}
/**
* 纵向合成图片
*
* @param first
* 放上面的图片路径
* @param second
* 放下面的图片路径
* @param out
* 文件输出目录
* @param border
* 图片预留边框
*/
public static boolean yPic(String first, String second, String out, int border) {
boolean isOk = true;
try {
/* 1 读取第一张图片 */
File fileOne = new File(first);
BufferedImage imageFirst = ImageIO.read(fileOne);
int width = imageFirst.getWidth();// 图片宽度
int height = imageFirst.getHeight();// 图片高度
/* 2对第二张图片做相同的处理 */
File fileTwo = new File(second);
BufferedImage imageSecond = ImageIO.read(fileTwo);
int widthTwo = imageSecond.getWidth();// 图片宽度
int heightTwo = imageSecond.getHeight();// 图片高度
/* 1 读取第一张图片begin */
int t_height = y_height - heightTwo;
// 图片是横图，逆时针旋转90度再等比缩放
if (width > height) {
imageFirst = rotateImageLeft90(imageFirst);
}
// 等比缩放
imageFirst = resize(imageFirst, y_width, t_height);
// 缩放后图片的大小
width = imageFirst.getWidth();// 图片宽度
height = imageFirst.getHeight();// 图片高度
// 等比缩放后，图片还是太大，裁剪图片
boolean a_w, a_h = false;
if ((a_w = (width > y_width)) || (a_h = (height > t_height))) {
// 起始位置x,y坐标
int s_w = 0, s_h = 0;
// 裁剪x坐标时，缩进属性x_retract
if (a_w) {
int temp = width - y_width;
if (temp > x_retract) {
temp = x_retract;
} else {
temp = 0;
}
s_w = s_w + temp;
}
// 裁剪y坐标时，缩进属性y_retract
if (a_h) {
int temp = height - t_height;
if (temp > y_retract) {
temp = y_retract;
} else {
temp = 0;
}
s_h = s_h + temp;
}
imageFirst = crop(imageFirst, s_w, s_h, y_width, t_height);
width = imageFirst.getWidth();
height = imageFirst.getHeight();
}
int[] imageArrayFirst = new int[(width - border) * height];// 从图片中读取RGB
imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0,
(width - border));
/* 2对第二张图片做相同的处理begin */
int[] imageArraySecond = new int[widthTwo * heightTwo];
imageArraySecond = imageSecond.getRGB(0, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);
int w = width;
if (width < widthTwo) {
w = widthTwo;
}
// 图片高度
int h = height + heightTwo;
// 生成新图片
BufferedImage imageResult = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB);
// 解决黑色背景,默认的TYPE_INT_RGB都是0，都是黑色的
Graphics2D g = (Graphics2D) imageResult.createGraphics();
g.setColor(Color.WHITE);
g.fillRect(0, 0, w, h);// 填充整个屏幕
g.dispose();
// 留边框
imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 设置左半部分的RGB
imageResult.setRGB(0, height, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 设置右半部分的RGB
File outFile = new File(out);
ImageIO.write(imageResult, "jpg", outFile);// 写图片
} catch (Exception e) {
logger.error("纵向合成图片失败....", e);
isOk = false;
}
return isOk;
}
/**
* 全图打印，图片缩放、旋转处理
*
* @param source
* 待处理的图片
* @param out
* 处理后文件输出目录
* @param border
* 图片预留边框
*/
public static boolean maigaoPic(String source, String out, int border) {
boolean isOk = true;
try {
/* 1 读取第一张图片 */
File fileOne = new File(source);
BufferedImage imageFirst = ImageIO.read(fileOne);
int width = imageFirst.getWidth();// 图片宽度
int height = imageFirst.getHeight();// 图片高度
// 图片是横图，逆时针旋转90度再等比缩放
if (width > height) {
imageFirst = rotateImageLeft90(imageFirst);
}
// 等比缩放
imageFirst = resize(imageFirst, y_width, y_height);
// 缩放后图片的大小
width = imageFirst.getWidth();// 图片宽度
height = imageFirst.getHeight();// 图片高度
// 等比缩放后，图片还是太大，裁剪图片
boolean a_w, a_h = false;
if ((a_w = (width > y_width)) || (a_h = (height > y_height))) {
// 起始位置x,y坐标
int s_w = 0, s_h = 0;
// 裁剪x坐标时，缩进属性x_retract
if (a_w) {
int temp = width - y_width;
if (temp > x_retract) {
temp = x_retract;
} else {
temp = 0;
}
s_w = s_w + temp;
}
// 裁剪y坐标时，缩进属性y_retract
if (a_h) {
int temp = height - y_height;
if (temp > y_retract) {
temp = y_retract;
} else {
temp = 0;
}
s_h = s_h + temp;
}
imageFirst = crop(imageFirst, s_w, s_h, y_width, y_height);
width = imageFirst.getWidth();
height = imageFirst.getHeight();
}
int[] imageArrayFirst = new int[(width - border) * height];// 从图片中读取RGB
imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0,
(width - border));
// 生成新图片
BufferedImage imageResult = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
// 解决黑色背景,默认的TYPE_INT_RGB都是0，都是黑色的
Graphics2D g = (Graphics2D) imageResult.createGraphics();
g.setColor(Color.WHITE);
g.fillRect(0, 0, width, height);// 填充整个屏幕
g.dispose();
// 留边框
imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 设置左半部分的RGB
File outFile = new File(out);
ImageIO.write(imageResult, "jpg", outFile);// 写图片
} catch (IOException e) {
logger.error("全图打印，图片缩放、旋转处理失败....", e);
isOk = false;
}
return isOk;
}
/**
* 实现图像的等比缩放
*
* @param source
* 待处理的图片流
* @param targetW
* 宽度
* @param targetH
* 高度
* @return
*/
public static BufferedImage resize(BufferedImage source, int targetW, int targetH) {
int width = source.getWidth();// 图片宽度
int height = source.getHeight();// 图片高度
return zoomInImage(source, targetW, targetH);
// 图片宽高都太小时，强制放大图片
/*
if (width < targetW && height < targetH) {
return zoomInImage(source, targetW, targetH);
} else if ((width < targetW && width == height) || (height < targetH && width == height)) {
return zoomInImage(source, targetW, targetH);
}
return null;
*/
}
/**
* 按比例裁剪图片
*
* @param source
* 待处理的图片流
* @param startX
* 开始x坐标
* @param startY
* 开始y坐标
* @param endX
* 结束x坐标
* @param endY
* 结束y坐标
* @return
*/
public static BufferedImage crop(BufferedImage source, int startX, int startY, int endX, int endY) {
int width = source.getWidth();
int height = source.getHeight();
if (startX <= -1) {
startX = 0;
}
if (startY <= -1) {
startY = 0;
}
if (endX <= -1) {
endX = width - 1;
}
if (endY <= -1) {
endY = height - 1;
}
BufferedImage result = new BufferedImage(endX, endY , source.getType());
for (int y = startY; y < endY+startY; y++) {
for (int x = startX; x < endX+startX; x++) {
int rgb = source.getRGB(x, y);
result.setRGB(x - startX, y - startY, rgb);
}
}
return result;
}
/**
* 旋转图片为指定角度
*
* @param bufferedimage
* 目标图像
* @param degree
* 旋转角度
* @return
*/
public static BufferedImage rotateImage(final BufferedImage bufferedimage, final int degree) {
int w = bufferedimage.getWidth();
int h = bufferedimage.getHeight();
int type = bufferedimage.getColorModel().getTransparency();
BufferedImage img;
Graphics2D graphics2d;
(graphics2d = (img = new BufferedImage(h, w, type)).createGraphics()).setRenderingHint(
RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
graphics2d.rotate(Math.toRadians(degree), w / 2, h / 2 + (w > h ? (w - h) / 2 : (h - w) / 2));
graphics2d.drawImage(bufferedimage, 0, 0, null);
graphics2d.dispose();
return img;
}
/**
* 图片左转90度
*
* @param bufferedimage
* @return
*/
public static BufferedImage rotateImageLeft90(BufferedImage bufferedimage) {
int w = bufferedimage.getWidth();
int h = bufferedimage.getHeight();
int type = bufferedimage.getColorModel().getTransparency();
BufferedImage img;
Graphics2D graphics2d;
(graphics2d = (img = new BufferedImage(h, w, type)).createGraphics()).setRenderingHint(
RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
graphics2d.rotate(Math.toRadians(270), w / 2, h / 2 + (w - h) / 2);
graphics2d.drawImage(bufferedimage, 0, 0, null);
graphics2d.dispose();
return img;
}
/**
* 图片右转90度
*
* @param bufferedimage
* @return
*/
public static BufferedImage rotateImageRight90(BufferedImage bufferedimage) {
int w = bufferedimage.getWidth();
int h = bufferedimage.getHeight();
int type = bufferedimage.getColorModel().getTransparency();
BufferedImage img;
Graphics2D graphics2d;
(graphics2d = (img = new BufferedImage(h, w, type)).createGraphics()).setRenderingHint(
RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
graphics2d.rotate(Math.toRadians(90), w / 2 - (w - h) / 2, h / 2);
graphics2d.drawImage(bufferedimage, 0, 0, null);
graphics2d.dispose();
return img;
}
// 对转
public File rotateImageOppo(File file) throws Exception {
BufferedImage bufferedimage = ImageIO.read(file);
int w = bufferedimage.getWidth();
int h = bufferedimage.getHeight();
int type = bufferedimage.getColorModel().getTransparency();
BufferedImage img;
Graphics2D graphics2d;
(graphics2d = (img = new BufferedImage(w, h, type)).createGraphics()).setRenderingHint(
RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
graphics2d.rotate(Math.toRadians(180), w / 2, h / 2);
graphics2d.drawImage(bufferedimage, 0, 0, null);
graphics2d.dispose();
ImageIO.write(img, "jpg", file);
return file;
}
/***
* 图片镜像处理
*
* @param file
* @param FX
* 0 为上下反转 1 为左右反转
* @return
*/
public void imageMisro(File file, int FX) {
try {
BufferedImage bufferedimage = ImageIO.read(file);
int w = bufferedimage.getWidth();
int h = bufferedimage.getHeight();
int[][] datas = new int[w][h];
for (int i = 0; i < h; i++) {
for (int j = 0; j < w; j++) {
datas[j][i] = bufferedimage.getRGB(j, i);
}
}
int[][] tmps = new int[w][h];
if (FX == 0) {
for (int i = 0, a = h - 1; i < h; i++, a--) {
for (int j = 0; j < w; j++) {
tmps[j][a] = datas[j][i];
}
}
} else if (FX == 1) {
for (int i = 0; i < h; i++) {
for (int j = 0, b = w - 1; j < w; j++, b--) {
tmps[b][i] = datas[j][i];
}
}
}
for (int i = 0; i < h; i++) {
for (int j = 0; j < w; j++) {
bufferedimage.setRGB(j, i, tmps[j][i]);
}
}
ImageIO.write(bufferedimage, "jpg", file);
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 对图片进行强制放大或缩小
*
* @param originalImage
* 原始图片
* @return
*/
public static BufferedImage zoomInImage(BufferedImage originalImage, int width, int height) {
BufferedImage newImage = new BufferedImage(width, height, originalImage.getType());
Graphics g = newImage.getGraphics();
g.drawImage(originalImage, 0, 0, width, height, null);
g.dispose();
return newImage;
}
/**
* 简易图片识别原理
*
* @param img
* 图片路径
*/
public static void discernImg(String img) {
try {
File fileOne = new File(img);
BufferedImage bi = ImageIO.read(fileOne);
// 获取图像的宽度和高度
int width = bi.getWidth();
int height = bi.getHeight();
// 扫描图片
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {// 行扫描
int dip = bi.getRGB(j, i);
if (dip == -1)
System.out.print(" ");
else
System.out.print("♦");
}
System.out.println();// 换行
}
} catch (Exception e) {
logger.error("图片识别出错", e);
}
}
}
更多java相关内容感兴趣的读者可查看本站专题：《Java图片操作技巧汇总》、《java日期与时间操作技巧汇总》、《Java操作DOM节点技巧总结》、《Java文件与目录操作技巧汇总》及《Java数据结构与算法教程》。
希望本文所述对大家java程序设计有所帮助。
网页题目：Java实现的微信图片处理工具类【裁剪，合并，等比例缩放等】
文章起源：http://pwwzsj.com/article/pjcoip.html
