前言
在使用阿里云人数检测时，为降低成本，我们需要将两个图片合并成一张图片，提交给阿里云图像识别，但我发现识别时由于一些感染因素，会有一定的错误率，所以就需要将图片进行裁剪后再拼接。
具体操作逻辑：
- 首先将图片裁剪
- 将裁剪后的图片合并（这里测试用的是原图+裁剪后的图）
- 后续业务操作
代码如下
/*** 裁剪(多边形)** @param inputFilePath 图片输入路径* @param outFilePath 图片输出路径* @param x x轴坐标点数组* @param y y轴坐标点数组* @param n 坐标点数量* @throws IOException*/public static void cutPolygonImage(String inputFilePath, String outFilePath, int[] x, int[] y, int n) {FileInputStream fileInputStream = null;FileOutputStream fileOutputStream = null;try {fileInputStream = new FileInputStream(inputFilePath);fileOutputStream = new FileOutputStream(outFilePath);cutPolygonImage(fileInputStream, fileOutputStream, x, y, n);} catch (FileNotFoundException e) {throw new RuntimeException(e);} finally {if(fileInputStream != null){try {fileInputStream.close();} catch (IOException e) {}}if(fileOutputStream != null){try {fileOutputStream.close();} catch (IOException e) {}}}}/*** 裁剪(多边形)** @param inputFilePath 图片输入路径* @param outFilePath 图片输出路径* @param x x轴坐标点数组* @param y y轴坐标点数组* @param n 坐标点数量* @throws IOException*/public static void cutPolygonImage(InputStream inputFilePath, OutputStream outFilePath, int[] x, int[] y, int n) {try {BufferedImage image = ImageIO.read(inputFilePath);GeneralPath clip = new GeneralPath(GeneralPath.WIND_EVEN_ODD, n);clip.moveTo(x[0], y[0]);for (int i = 1; i < x.length; i++) {clip.lineTo(x[i], y[i]);}clip.closePath();Rectangle bounds = clip.getBounds();BufferedImage img = new BufferedImage(bounds.width, bounds.height, BufferedImage.TYPE_INT_BGR);Graphics2D g2d = img.createGraphics();g2d.translate(-bounds.getMinX(), -bounds.getMinY());g2d.setComposite(AlphaComposite.SrcOver);g2d.setClip(clip);g2d.drawImage(image, 0, 0, null);g2d.dispose();ImageIO.write(img, "jpg", outFilePath);} catch (Exception e) {log.error("图片错误",e);}}/*** 图片合并* @param image1 图片1* @param image2 图片2* @param outputStream 输出位置*/public static void splicingImage(BufferedImage image1, BufferedImage image2,OutputStream outputStream) {int width = image1.getWidth() + image2.getWidth();int height = NumberUtil.max(image1.getHeight(), image2.getHeight());BufferedImage combinedImage = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);Graphics2D g = combinedImage.createGraphics();g.drawImage(image1, 0, 0, null);g.drawImage(image2, image1.getWidth(), 0, null);try {ImageIO.write(combinedImage, "PNG", outputStream);} catch (IOException e) {throw new RuntimeException(e);}}public static void main(String[] args) {int[] x = { 1491, 1491, 143,143};int[] y = { 0, 1000, 1000,0};cutPolygonImage("D:\\logs\\wallhaven-rdmzg7.png", "D:\\logs\\wallhaven-rdmzg8.png", x, y, 4);try {BufferedImage image1 = ImageIO.read(new File("D:\\logs\\wallhaven-rdmzg7.png"));BufferedImage image2 = ImageIO.read(new File("D:\\logs\\wallhaven-rdmzg8.png"));splicingImage(image1, image2,new FileOutputStream("D:\\logs\\wallhaven-rdmzg9.png"));} catch (IOException e) {throw new RuntimeException(e);}}
)
、msgsend()、msgrcv()、msgctl())
