图像处理 -Java- 背景色平滑 / 反色

    public static BufferedImage smoothBackground2(BufferedImage originalImage, int colorThreshold) {        int width = originalImage.getWidth();        int height = originalImage.getHeight();
        DataBuffer dataBuffer = originalImage.getRaster().getDataBuffer();        byte[] pixels = ((DataBufferByte) dataBuffer).getData();        Map<Integer, Integer> colorCount = new HashMap<>();        for (int i = 0; i < pixels.length; i += 3) {            int color = ((pixels[i] & 0xFF) << 16) | ((pixels[i + 1] & 0xFF) << 8) | (pixels[i + 2] & 0xFF);            colorCount.put(color, colorCount.getOrDefault(color, 0) + 1);        }        int backgroundColor = findBackgroundColor(colorCount);
        BufferedImage smoothedImage = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
        for (int y = 0; y < height; y++) {            for (int x = 0; x < width; x++) {                Color pixelColor = new Color(originalImage.getRGB(x, y));
                // 如果像素颜色接近于背景色，进行平滑处理                if (isColorCloseToBackground(pixelColor, new Color(backgroundColor), colorThreshold)) {                    Color averageColor = getAverageColor(originalImage, x, y, 3);                    smoothedImage.setRGB(x, y, averageColor.getRGB());                } else {                    // 不是背景色的像素，保持原样                    smoothedImage.setRGB(x, y, originalImage.getRGB(x, y));                }            }        }
        return smoothedImage;    }
    private static boolean isColorCloseToBackground(Color color, Color backgroundColor, int colorThreshold) {        int redDiff = Math.abs(color.getRed() - backgroundColor.getRed());        int greenDiff = Math.abs(color.getGreen() - backgroundColor.getGreen());        int blueDiff = Math.abs(color.getBlue() - backgroundColor.getBlue());
        // 判断颜色是否接近背景色        return redDiff < colorThreshold && greenDiff < colorThreshold && blueDiff < colorThreshold;    }
    private static Color getAverageColor(BufferedImage image, int centerX, int centerY, int windowSize) {        int totalRed = 0;        int totalGreen = 0;        int totalBlue = 0;        int count = 0;
        for (int y = centerY - windowSize/2; y <= centerY + windowSize/2; y++) {            for (int x = centerX - windowSize/2; x <= centerX + windowSize/2; x++) {                if (x >= 0 && x < image.getWidth() && y >= 0 && y < image.getHeight()) {                    // 获取当前像素的颜色值                    Color pixelColor = new Color(image.getRGB(x, y));                    totalRed += pixelColor.getRed();                    totalGreen += pixelColor.getGreen();                    totalBlue += pixelColor.getBlue();                    count++;                }            }        }
        // 计算平均颜色值        int averageRed = totalRed / count;        int averageGreen = totalGreen / count;        int averageBlue = totalBlue / count;
        return new Color(averageRed, averageGreen, averageBlue);    }