java图像卷积

Question

我正在尝试对图像应用平滑过滤器。但是我得到了这个错误:

java.awt.image.ImagingOpException: Unable to convolve src image
at java.awt.image.ConvolveOp.filter(ConvolveOp.java:180)
at ocr.Resolution.smoothing(Resolution.java:102)
at ocr.Interface$ButtonListener.actionPerformed(Interface.java:332)
at javax.swing.AbstractButton.fireActionPerformed(AbstractButton.java:1995)
at javax.swing.AbstractButton$Handler.actionPerformed(AbstractButton.java:2318)
at javax.swing.DefaultButtonModel.fireActionPerformed(DefaultButtonModel.java:387)
at javax.swing.DefaultButtonModel.setPressed(DefaultButtonModel.java:242)
at javax.swing.plaf.basic.BasicButtonListener.mouseReleased(BasicButtonListener.java:236)
at java.awt.Component.processMouseEvent(Component.java:6038)
at javax.swing.JComponent.processMouseEvent(JComponent.java:3260)
at java.awt.Component.processEvent(Component.java:5803)
at java.awt.Container.processEvent(Container.java:2058)
at java.awt.Component.dispatchEventImpl(Component.java:4410)
at java.awt.Container.dispatchEventImpl(Container.java:2116)
at java.awt.Component.dispatchEvent(Component.java:4240)
at java.awt.LightweightDispatcher.retargetMouseEvent(Container.java:4322)
at java.awt.LightweightDispatcher.processMouseEvent(Container.java:3986)
at java.awt.LightweightDispatcher.dispatchEvent(Container.java:3916)
at java.awt.Container.dispatchEventImpl(Container.java:2102)

我已经研究过但找不到任何确切的解决方案。要查看问题的根源，我将图像加载为图标。他们都还好。这个问题的原因可能是图片加载较晚，所以无法应用滤镜？

此外，我还将应用细化算法和其他一些过滤器。你认为如果用 Processing 代替 Java 更好吗？感谢您的帮助。

        filter = new float[] { 1.0f/121.0f,  2.0f/121.0f,   3.0f/121.0f,   2.0f/121.0f,   1.0f/121.0f,
                            2.0f/121.0f,  7.0f/121.0f,  11.0f/121.0f,   7.0f/121.0f,   2.0f/121.0f,
                            3.0f/121.0f, 11.0f/121.0f,  17.0f/121.0f,  11.0f/121.0f,   3.0f/121.0f,
                            2.0f/121.0f,  7.0f/121.0f,  11.0f/121.0f,   7.0f/121.0f,   2.0f/121.0f,
                            1.0f/121.0f,  2.0f/121.0f,   3.0f/121.0f,   2.0f/121.0f,   1.0f/121.0f};
    kernelWidth = 5;
    kernelHeight = 5;
    BufferedImageOp bufOp ;
    BufferedImage bufImg;
    Image img;

    img = Toolkit.getDefaultToolkit().getImage(Interface.picPath); //load image        
    ImageSize size = new ImageSize(img);// instance to get image dimensions
    bufImg = new BufferedImage (size.getwidth(),size.getheight(),BufferedImage.TYPE_INT_RGB); 
    try {
    bufImg = ImageIO.read(new File(Interface.picPath) );

    } catch (IOException ex) {
    Logger.getLogger(Resolution.class.getName()).log(Level.SEVERE, null, ex);
    }

    kernel = new Kernel( kernelWidth, kernelHeight, filter);
    bufOp = new ConvolveOp(kernel); 
    bufImg = bufOp.filter(bufImg, null);

Answer 1

我找到了解决办法。我没有使用 URl 创建 BufferedImage(bufImg)，而是将图像本身 (img) 转换为 BufferedImage，它现在运行了。

public void smoothing(){
     filter = new float[] { 1.0f/121.0f,  2.0f/121.0f,   3.0f/121.0f,   2.0f/121.0f,   1.0f/121.0f,
                            2.0f/121.0f,  7.0f/121.0f,  11.0f/121.0f,   7.0f/121.0f,   2.0f/121.0f,
                            3.0f/121.0f, 11.0f/121.0f,  17.0f/121.0f,  11.0f/121.0f,   3.0f/121.0f,
                            2.0f/121.0f,  7.0f/121.0f,  11.0f/121.0f,   7.0f/121.0f,   2.0f/121.0f,
                            1.0f/121.0f,  2.0f/121.0f,   3.0f/121.0f,   2.0f/121.0f,   1.0f/121.0f};
    kernelWidth = 5;
    kernelHeight = 5;
    kernel = new Kernel( kernelWidth, kernelHeight, filter);
    op = new ConvolveOp(kernel); 

    img = Toolkit.getDefaultToolkit().getImage(Interface.picPath);
    imageToBufferedImage(img);
    bufImg = op.filter(bufImg, null);

    icon = new ImageIcon(img.getScaledInstance(175, 175, Image.SCALE_DEFAULT));
    icon2 = new ImageIcon(img.getScaledInstance(300, 300, Image.SCALE_DEFAULT));
    Interface.label3.setIcon(icon);
    Interface.label8.setIcon(icon2);

}

public  void imageToBufferedImage(Image im) {
    ImageSize size = new ImageSize(im);
    bufImg = new BufferedImage (size.getwidth(), size.getheight(),BufferedImage.TYPE_INT_RGB);
    Graphics graph = bufImg.getGraphics();
    graph.drawImage(im, 0, 0, null);
    graph.dispose();