java 图片合成 工具类_Java实现的微信图片处理工具类【裁剪，合并，等比例缩放等】...
本文實例講述了Java實現的微信圖片處理工具類。分享給大家供大家參考，具體如下：
現在 外面核心，圖片文章比較少，看了拷貝代碼，而用不了，用相應jar包處理，很多等比例縮放，達不到 想要的給予的期望:本工具類，是之前做微信打印機寫的 基于java自帶的類，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;
/**
* 微信圖片處理工具
*
* @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);// 寫圖片
}
/**
* 縱向合圖的x坐標像素
*/
private final static int y_width = 645;
/**
* 標準圖片的y坐標像素,920，是一般照片，1099是郵票照片
*/
private final static int y_height = 920;
/**
* 裁剪x坐標縮進像素
*/
private final static int x_retract = 50;
/**
* 裁剪y坐標縮進像素
*/
private final static int y_retract = 50;
/**
* 系統默認圖片邊框為20
*/
public final static int BORDER = 20;
/**
* 橫向合成圖片
*/
public static void xPic(String first, String second, String out) {
try {
/* 1 讀取第一張圖片 */
File fileOne = new File(first);
BufferedImage imageFirst = ImageIO.read(fileOne);
int width = imageFirst.getWidth();// 圖片寬度
int height = imageFirst.getHeight();// 圖片高度
int[] imageArrayFirst = new int[width * height];// 從圖片中讀取RGB
imageArrayFirst = imageFirst.getRGB(0, 0, width, height, imageArrayFirst, 0, width);
/* 1 對第二張圖片做相同的處理 */
File fileTwo = new File(second);
BufferedImage imageSecond = ImageIO.read(fileTwo);
int widthTwo = imageSecond.getWidth();// 圖片寬度
int heightTwo = imageSecond.getHeight();// 圖片高度
int[] imageArraySecond = new int[widthTwo * heightTwo];
imageArraySecond = imageSecond.getRGB(0, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);
int h = height;
if (height < heightTwo) {
h = heightTwo;
}
// 生成新圖片
BufferedImage imageResult = new BufferedImage(width + widthTwo, h, BufferedImage.TYPE_INT_RGB);
imageResult.setRGB(0, 0, width, height, imageArrayFirst, 0, width);// 設置左半部分的RGB
imageResult.setRGB(width, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 設置右半部分的RGB
File outFile = new File(out);
ImageIO.write(imageResult, "jpg", outFile);// 寫圖片
} catch (Exception e) {
logger.error("橫向合成圖片出錯....", e);
}
}
/**
* 縱向合成圖片
*
* @param first
* 放上面的圖片路徑
* @param second
* 放下面的圖片路徑
* @param out
* 文件輸出目錄
* @param border
* 圖片預留邊框
*/
public static boolean yPic(String first, String second, String out, int border) {
boolean isOk = true;
try {
/* 1 讀取第一張圖片 */
File fileOne = new File(first);
BufferedImage imageFirst = ImageIO.read(fileOne);
int width = imageFirst.getWidth();// 圖片寬度
int height = imageFirst.getHeight();// 圖片高度
/* 2對第二張圖片做相同的處理 */
File fileTwo = new File(second);
BufferedImage imageSecond = ImageIO.read(fileTwo);
int widthTwo = imageSecond.getWidth();// 圖片寬度
int heightTwo = imageSecond.getHeight();// 圖片高度
/* 1 讀取第一張圖片begin */
int t_height = y_height - heightTwo;
// 圖片是橫圖，逆時針旋轉90度再等比縮放
if (width > height) {
imageFirst = rotateImageLeft90(imageFirst);
}
// 等比縮放
imageFirst = resize(imageFirst, y_width, t_height);
// 縮放后圖片的大小
width = imageFirst.getWidth();// 圖片寬度
height = imageFirst.getHeight();// 圖片高度
// 等比縮放后，圖片還是太大，裁剪圖片
boolean a_w, a_h = false;
if ((a_w = (width > y_width)) || (a_h = (height > t_height))) {
// 起始位置x,y坐標
int s_w = 0, s_h = 0;
// 裁剪x坐標時，縮進屬性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坐標時，縮進屬性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];// 從圖片中讀取RGB
imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0,
(width - border));
/* 2對第二張圖片做相同的處理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;
}
// 圖片高度
int h = height + heightTwo;
// 生成新圖片
BufferedImage imageResult = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB);
// 解決黑色背景,默認的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);// 填充整個屏幕
g.dispose();
// 留邊框
imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 設置左半部分的RGB
imageResult.setRGB(0, height, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 設置右半部分的RGB
File outFile = new File(out);
ImageIO.write(imageResult, "jpg", outFile);// 寫圖片
} catch (Exception e) {
logger.error("縱向合成圖片失敗....", e);
isOk = false;
}
return isOk;
}
/**
* 全圖打印，圖片縮放、旋轉處理
*
* @param source
* 待處理的圖片
* @param out
* 處理后文件輸出目錄
* @param border
* 圖片預留邊框
*/
public static boolean maigaoPic(String source, String out, int border) {
boolean isOk = true;
try {
/* 1 讀取第一張圖片 */
File fileOne = new File(source);
BufferedImage imageFirst = ImageIO.read(fileOne);
int width = imageFirst.getWidth();// 圖片寬度
int height = imageFirst.getHeight();// 圖片高度
// 圖片是橫圖，逆時針旋轉90度再等比縮放
if (width > height) {
imageFirst = rotateImageLeft90(imageFirst);
}
// 等比縮放
imageFirst = resize(imageFirst, y_width, y_height);
// 縮放后圖片的大小
width = imageFirst.getWidth();// 圖片寬度
height = imageFirst.getHeight();// 圖片高度
// 等比縮放后，圖片還是太大，裁剪圖片
boolean a_w, a_h = false;
if ((a_w = (width > y_width)) || (a_h = (height > y_height))) {
// 起始位置x,y坐標
int s_w = 0, s_h = 0;
// 裁剪x坐標時，縮進屬性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坐標時，縮進屬性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];// 從圖片中讀取RGB
imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0,
(width - border));
// 生成新圖片
BufferedImage imageResult = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
// 解決黑色背景,默認的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);// 填充整個屏幕
g.dispose();
// 留邊框
imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 設置左半部分的RGB
File outFile = new File(out);
ImageIO.write(imageResult, "jpg", outFile);// 寫圖片
} catch (IOException e) {
logger.error("全圖打印，圖片縮放、旋轉處理失敗....", e);
isOk = false;
}
return isOk;
}
/**
* 實現圖像的等比縮放
*
* @param source
* 待處理的圖片流
* @param targetW
* 寬度
* @param targetH
* 高度
* @return
*/
public static BufferedImage resize(BufferedImage source, int targetW, int targetH) {
int width = source.getWidth();// 圖片寬度
int height = source.getHeight();// 圖片高度
return zoomInImage(source, targetW, targetH);
// 圖片寬高都太小時，強制放大圖片
/*
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;
*/
}
/**
* 按比例裁剪圖片
*
* @param source
* 待處理的圖片流
* @param startX
* 開始x坐標
* @param startY
* 開始y坐標
* @param endX
* 結束x坐標
* @param endY
* 結束y坐標
* @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;
}
/**
* 旋轉圖片為指定角度
*
* @param bufferedimage
* 目標圖像
* @param degree
* 旋轉角度
* @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;
}
/**
* 圖片左轉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;
}
/**
* 圖片右轉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;
}
// 對轉
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;
}
/***
* 圖片鏡像處理
*
* @param file
* @param FX
* 0 為上下反轉 1 為左右反轉
* @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();
}
}
/**
* 對圖片進行強制放大或縮小
*
* @param originalImage
* 原始圖片
* @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;
}
/**
* 簡易圖片識別原理
*
* @param img
* 圖片路徑
*/
public static void discernImg(String img) {
try {
File fileOne = new File(img);
BufferedImage bi = ImageIO.read(fileOne);
// 獲取圖像的寬度和高度
int width = bi.getWidth();
int height = bi.getHeight();
// 掃描圖片
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {// 行掃描
int dip = bi.getRGB(j, i);
if (dip == -1)
System.out.print(" ");
else
System.out.print("?");
}
System.out.println();// 換行
}
} catch (Exception e) {
logger.error("圖片識別出錯", e);
}
}
}
希望本文所述對大家java程序設計有所幫助。
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