How to remove a border with an unknown width from an image

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渐次进展 2021-01-16 01:53

I\'m trying to build a program which can remove an single-colored border form an image.

The border is always white but the width of the border on the left and right

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  • 2021-01-16 02:15

    If the frame around your picture is uniform then all you need to do is investigate when the pixels in the image change. But first thing's first - you need to have a BufferedImage object to work with. It's a class that allows you to traverse the bitmap of an image (http://docs.oracle.com/javase/6/docs/api/java/awt/image/BufferedImage.html). If you have the image saved as a file you need to call this method:

    BufferedImage bimage = ImageIO.read(new File(file));
    

    Now you can fetch the bitmap array from the bimage:

    bimage.getRGB(int startX, int startY, int w, int h, int[] rgbArray, int offset, int scansize)
    

    like this:

    int[] rgb = bimage.getRGB(0, 0, bimage.getWidth(), bimage.getHeight(), null, 0, bimage.getWidth());
    

    There could be some issues here with ColorModel so be sure to read up on your documentation of how to fetch the appropriate rgb from different file types.

    Now that you have the rgb array you should start searching how far the frame stretches out from the middle of the picture. Keep in mind that this a single dimensional array - all the lines are written here sequentially one after another - as if you sliced the picture into lines 1pixel heigh and glued them together to form one long line.

    This actually works to our advantage because the first different pixel we encounter in this table will work as a great reference point.

    So now we just do something like this:

    int pixel1=0,pixel2=0, i=0;
    while(pixel1==pixel2 && i<bimage.getWidth()*bimage.getHeight()){
        pixel1=pixel2;
        pixel2=rgb[i++];
    }
    

    So now if the frame of your image is uniform, the top offset is the same as the bottom offset and the left offset is the same as the right offset then the number in the variable i is very likely to be the first pixel in the green rectangle.

    In order to know which row and which column it is you need the following code:

     int row= i%bimage.getWidth();
     int column= i - row*bimage.getWidth();
    

    Now the problem is that you may have an image embedded in the frame that in it's left upper corner is of the same color as the frame - so for example an image of a green rectangle with white corners in a white frame. Is this the case?

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  • 2021-01-16 02:16

    This is my solution:

        private Bitmap cropBorderFromBitmap(Bitmap bmp) {
    
            final int borderWidth = 10; //preserved border width
            final int borderColor = -1; //WHITE
    
            int width = bmp.getWidth();
            int height = bmp.getHeight();
    
            int[] pixels = new int[width * height];
            bmp.getPixels(pixels, 0, width, 0, 0, width, height);
    
            int minX = -1;
            int minY = -1;
            int maxX = -1;
            int maxY = -1;
    
            for(int y = 0; y < height; y++) {
                for(int x = 0; x < width; x++) {
                    if(bmp.getPixel(x,y) != borderColor) {
                        minX = (minX == -1) ? x : Math.min(x, minX);
                        minY = (minY == -1) ? y : Math.min(y, minY);
    
                        maxX = (maxX == -1) ? x : Math.max(x, maxX);
                        maxY = (maxY == -1) ? y : Math.max(y, maxY);
                    }
                }
            }
    
            minX = Math.max(0, minX - borderWidth);
            maxX = Math.min(width, maxX + borderWidth);
            minY = Math.max(0, minY - borderWidth);
            maxY = Math.min(height, maxY + borderWidth);
    
            //Create the new, cropped version of the Bitmap
            return Bitmap.createBitmap(bmp, minX, minY, maxX - minX, maxY-minY);
        }
    
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  • 2021-01-16 02:28

    Perhaps not the best use of the APIs to find a solution, but the one that came to mind: directly modify the image's pixels.

    You can get a Bitmap's pixels with getPixels() and then create a new, cropped Bitmap with createBitmap(). Then, it's just a matter of finding the dimensions of the border.

    You can find the color of the border by accessing the pixel located at position 0, and then compare that value (an int) to the value of each proceeding pixel until your reach the border (the pixel that isn't that color). With a little bit of math, it can be done.

    Here is some simple code that demonstrates the point:

    private void cropBorderFromBitmap(Bitmap bmp) {
        int[] pixels;
        //Load the pixel data into the pixels array
        bmp.getPixels(pixels, 0, width, 0, 0, width, height);
    
        //Convenience variables
        int width = bmp.getWidth();
        int height = bmp.getHeight();
        int length = pixels.length;
    
        int borderColor = pixels[0];
    
        //Locate the start of the border
        int borderStart;
        for(int i = 0; i < length; i ++) {
            if(pixels[i] != borderColor) {
                borderStart = i;
                break;
            }
        }
    
        //Locate the end of the border
        int borderEnd;
        for(int i = length - 1; i >= 0; i --) {
            if(pixels[i] != borderColor) {
                borderEnd = length - i;
                break;
            }
        }
    
        //Calculate the margins
        int leftMargin = borderStart % width;
        int rightMargin = borderEnd % width;
        int topMargin = borderStart / width;
        int bottomMargin = borderEnd / width;
    
        //Create the new, cropped version of the Bitmap
        bmp = createBitmap(bmp, leftMargin, topMargin, width - leftMargin - rightMargin, height - topMargin - bottomMargin);
    }
    

    This is untested and lacks error checking (e.g., what if the width is 0?), but it should serve as a proof-of-concept.

    EDIT: I just realized that I failed to complete the getPixels() method. The wonders of testing your code... it's fixed now.

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  • 2021-01-16 02:30

    You can use the public int getPixel (int x, int y) function which return for every pixel its color
    It should be easy to run through the border lines and verify that the color is still the same

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