Temp/OcrFinalHelper.cs

using System;
using System.IO;
using System.Drawing;
using System.Drawing.Imaging;
using Tesseract;

public static class OcrFinalHelper
{
    private static readonly string _tessDataPath =
        Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "tessdata");

    /// <summary>
    /// 针对白底黑字/截图优化的中文识别（强化浅灰色文字处理）
    /// </summary>
    public static string RecognizeScreenshot(string imagePath)
    {
        if (!File.Exists(imagePath))
            return "文件不存在";

        try
        {
            using var original = new Bitmap(imagePath);
            using var scaled = ScaleImage(original, original.Width * 2, original.Height * 2);

            // 预处理：灰度 → 对比度拉伸 → OTSU 二值化
            using var gray = ToGrayscale(scaled);
            using var stretched = AutoContrast(gray);
            using var binary = BinarizeOtsu(stretched);

            using var engine = new TesseractEngine(
                _tessDataPath,
                "chi_sim+eng",
                EngineMode.LstmOnly);

            engine.SetVariable("preserve_interword_spaces", "1");
            engine.SetVariable("tessedit_pageseg_mode", "6");
            engine.SetVariable("textord_min_linesize", "2.5");

            using var pix = BitmapToPix(binary);
            using var result = engine.Process(pix);

            return result.GetText()?.Trim() ?? "";
        }
        catch (Exception ex)
        {
            return $"识别失败：{ex.Message}";
        }
    }

    #region 预处理

    private static Bitmap ScaleImage(Bitmap original, int newWidth, int newHeight)
    {
        var scaled = new Bitmap(newWidth, newHeight);
        using (var g = Graphics.FromImage(scaled))
        {
            g.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.HighQualityBicubic;
            g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality;
            g.DrawImage(original, 0, 0, newWidth, newHeight);
        }
        return scaled;
    }

    private static Bitmap ToGrayscale(Bitmap bmp)
    {
        var gray = new Bitmap(bmp.Width, bmp.Height);
        using (var g = Graphics.FromImage(gray))
        {
            var cm = new ColorMatrix(new float[][]
            {
                new float[]{0.299f,0.299f,0.299f,0,0},
                new float[]{0.587f,0.587f,0.587f,0,0},
                new float[]{0.114f,0.114f,0.114f,0,0},
                new float[]{0,0,0,1,0},
                new float[]{0,0,0,0,1}
            });
            using (var ia = new ImageAttributes())
            {
                ia.SetColorMatrix(cm);
                g.DrawImage(bmp, new Rectangle(0, 0, bmp.Width, bmp.Height),
                    0, 0, bmp.Width, bmp.Height, GraphicsUnit.Pixel, ia);
            }
        }
        return gray;
    }
    
    /// <summary>
    /// 强化版对比度拉伸（专门优化：浅灰文字 + 低对比度文字）
    /// 不破坏图像、不炸图、Tesseract 可正常识别
    /// </summary>
    private static Bitmap AutoContrast(Bitmap gray)
    {
        int min = 255, max = 0;
        int width = gray.Width;
        int height = gray.Height;

        // 第一步：统计灰度（忽略纯白 255，避免背景干扰文字）
        for (int y = 0; y < height; y++)
        {
            for (int x = 0; x < width; x++)
            {
                int val = gray.GetPixel(x, y).R;
                if (val == 255) continue; // 跳过纯白背景
                if (val < min) min = val;
                if (val > max) max = val;
            }
        }

        // 如果无有效内容，返回原图
        if (min >= max || max - min < 10)
            return (Bitmap)gray.Clone();

        // 第二步：强化拉伸（专门强化 180~240 浅灰色文字）
        Bitmap result = new Bitmap(width, height);
        for (int y = 0; y < height; y++)
        {
            for (int x = 0; x < width; x++)
            {
                int val = gray.GetPixel(x, y).R;

                // 核心：浅灰色文字强制增强
                if (val >= 180 && val <= 245)
                {
                    val = val - 30; // 把浅灰 → 变深灰
                }

                // 标准对比度拉伸（强化文字边缘）
                int newVal = (int)(((val - min) / (double)(max - min)) * 220 + 20);
                newVal = Math.Clamp(newVal, 0, 255);

                result.SetPixel(x, y, Color.FromArgb(newVal, newVal, newVal));
            }
        }

        return result;
    }
    /// <summary>
    /// OTSU 大津法二值化，自动寻找最佳阈值，适应各种灰度文字
    /// </summary>
    private static Bitmap BinarizeOtsu(Bitmap gray)
    {
        int[] histogram = new int[256];
        int totalPixels = gray.Width * gray.Height;

        // 统计直方图
        for (int y = 0; y < gray.Height; y++)
        {
            for (int x = 0; x < gray.Width; x++)
            {
                int val = gray.GetPixel(x, y).R;
                histogram[val]++;
            }
        }

        // 计算 OTSU 阈值
        double sum = 0;
        for (int i = 0; i < 256; i++)
            sum += i * histogram[i];

        double sumB = 0;
        int wB = 0, wF = 0;
        double maxVariance = 0;
        int threshold = 128; // 默认

        for (int t = 0; t < 256; t++)
        {
            wB += histogram[t];               // 背景像素数
            if (wB == 0) continue;
            wF = totalPixels - wB;            // 前景像素数
            if (wF == 0) break;

            sumB += t * histogram[t];
            double mB = sumB / wB;            // 背景平均灰度
            double mF = (sum - sumB) / wF;    // 前景平均灰度

            double variance = wB * (double)wF * (mB - mF) * (mB - mF);
            if (variance > maxVariance)
            {
                maxVariance = variance;
                threshold = t;
            }
        }

        // 白底黑字：大于阈值 -> 白，否则 -> 黑
        var bin = new Bitmap(gray.Width, gray.Height);
        for (int y = 0; y < gray.Height; y++)
        {
            for (int x = 0; x < gray.Width; x++)
            {
                int val = gray.GetPixel(x, y).R;
                bin.SetPixel(x, y, val > threshold ? Color.White : Color.Black);
            }
        }
        return bin;
    }

    private static Pix BitmapToPix(Bitmap bmp)
    {
        using var ms = new MemoryStream();
        bmp.Save(ms, System.Drawing.Imaging.ImageFormat.Png);
        ms.Position = 0;
        return Pix.LoadFromMemory(ms.ToArray());
    }

    #endregion
}