tests started and tuning
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17 changed files with 391 additions and 18 deletions
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@ -9,17 +9,16 @@ static class ImagePreprocessor
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/// <summary>
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/// Pre-process an image for OCR using morphological white top-hat filtering.
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/// Isolates bright tooltip text, suppresses dim background text visible through overlay.
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/// Pipeline: grayscale → morphological top-hat → Otsu binary → 2x upscale
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/// Pipeline: grayscale → morphological top-hat → Otsu binary → upscale
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/// </summary>
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public static Bitmap PreprocessForOcr(Bitmap src)
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public static Bitmap PreprocessForOcr(Bitmap src, int kernelSize = 25, int upscale = 2)
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{
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using var mat = BitmapConverter.ToMat(src);
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using var gray = new Mat();
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Cv2.CvtColor(mat, gray, ColorConversionCodes.BGRA2GRAY);
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// Morphological white top-hat: isolates bright text on dark background
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// Kernel size 25x25 captures text strokes, suppresses dim background text
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using var kernel = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(25, 25));
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using var kernel = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(kernelSize, kernelSize));
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using var tophat = new Mat();
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Cv2.MorphologyEx(gray, tophat, MorphTypes.TopHat, kernel);
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@ -27,11 +26,15 @@ static class ImagePreprocessor
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using var binary = new Mat();
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Cv2.Threshold(tophat, binary, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
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// 2x upscale for better LSTM recognition
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using var upscaled = new Mat();
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Cv2.Resize(binary, upscaled, new OpenCvSharp.Size(binary.Width * 2, binary.Height * 2),
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interpolation: InterpolationFlags.Cubic);
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// Upscale for better LSTM recognition
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if (upscale > 1)
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{
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using var upscaled = new Mat();
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Cv2.Resize(binary, upscaled, new OpenCvSharp.Size(binary.Width * upscale, binary.Height * upscale),
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interpolation: InterpolationFlags.Cubic);
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return BitmapConverter.ToBitmap(upscaled);
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}
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return BitmapConverter.ToBitmap(upscaled);
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return BitmapConverter.ToBitmap(binary);
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}
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}
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