186 lines
7.4 KiB
C#
186 lines
7.4 KiB
C#
using System;
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using System.Collections.Concurrent;
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using System.Collections.Generic;
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using System.Threading;
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using System.Threading.Tasks;
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using System.Windows.Media.Imaging;
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using Emgu.CV;
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using Emgu.CV.Structure;
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using ImageProcessing.Core;
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using ImageProcessing.Processors;
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using Serilog;
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namespace XplorePlane.Services
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{
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public class ImageProcessingService : IImageProcessingService
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{
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private readonly ILogger _logger;
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private readonly ConcurrentDictionary<string, ImageProcessorBase> _processorRegistry;
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private readonly ConcurrentDictionary<string, ImageProcessorBase16> _processorRegistry16;
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public ImageProcessingService(ILogger logger)
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{
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_logger = logger ?? throw new ArgumentNullException(nameof(logger));
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_processorRegistry = new ConcurrentDictionary<string, ImageProcessorBase>();
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_processorRegistry16 = new ConcurrentDictionary<string, ImageProcessorBase16>();
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RegisterBuiltInProcessors();
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}
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private void RegisterBuiltInProcessors()
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{
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// 8-bit processors
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_processorRegistry["GaussianBlur"] = new GaussianBlurProcessor();
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_processorRegistry["Threshold"] = new ThresholdProcessor();
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_processorRegistry["Division"] = new DivisionProcessor();
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_processorRegistry["Contrast"] = new ContrastProcessor();
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_processorRegistry["Gamma"] = new GammaProcessor();
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_processorRegistry["Morphology"] = new MorphologyProcessor();
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_processorRegistry["Contour"] = new ContourProcessor();
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_processorRegistry["ShockFilter"] = new ShockFilterProcessor();
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_processorRegistry["BandPassFilter"] = new BandPassFilterProcessor();
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// 16-bit processors (separate registry due to different base class)
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_processorRegistry16["GaussianBlur16"] = new GaussianBlurProcessor16();
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_processorRegistry16["FlatFieldCorrection16"] = new FlatFieldCorrectionProcessor16();
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_logger.Information("Registered {Count8} 8-bit and {Count16} 16-bit built-in image processors",
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_processorRegistry.Count, _processorRegistry16.Count);
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}
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public IReadOnlyList<string> GetAvailableProcessors()
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{
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var all = new List<string>(_processorRegistry.Keys);
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all.AddRange(_processorRegistry16.Keys);
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return all.AsReadOnly();
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}
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public void RegisterProcessor(string name, ImageProcessorBase processor)
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{
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if (string.IsNullOrWhiteSpace(name)) throw new ArgumentException("Processor name cannot be empty", nameof(name));
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if (processor == null) throw new ArgumentNullException(nameof(processor));
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_processorRegistry[name] = processor;
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_logger.Information("Registered processor: {ProcessorName}", name);
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}
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public IReadOnlyList<ProcessorParameter> GetProcessorParameters(string processorName)
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{
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if (_processorRegistry.TryGetValue(processorName, out var processor))
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return processor.GetParameters().AsReadOnly();
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if (_processorRegistry16.TryGetValue(processorName, out var processor16))
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return processor16.GetParameters().AsReadOnly();
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throw new ArgumentException($"Processor not registered: {processorName}", nameof(processorName));
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}
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public async Task<BitmapSource> ProcessImageAsync(
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BitmapSource source,
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string processorName,
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IDictionary<string, object> parameters,
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IProgress<double> progress = null,
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CancellationToken cancellationToken = default)
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{
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cancellationToken.ThrowIfCancellationRequested();
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if (!_processorRegistry.TryGetValue(processorName, out var processor))
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throw new ArgumentException($"Processor not registered: {processorName}", nameof(processorName));
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return await Task.Run(() =>
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{
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cancellationToken.ThrowIfCancellationRequested();
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try
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{
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var emguImage = ImageConverter.ToEmguCV(source);
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if (parameters != null)
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{
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foreach (var kvp in parameters)
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processor.SetParameter(kvp.Key, kvp.Value);
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}
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progress?.Report(0.1);
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var processedEmgu = processor.Process(emguImage);
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progress?.Report(0.9);
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var result = ImageConverter.ToBitmapSource(processedEmgu);
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progress?.Report(1.0);
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return result;
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}
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catch (OperationCanceledException)
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{
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throw;
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}
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catch (ArgumentException)
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{
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throw;
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}
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catch (Exception ex)
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{
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_logger.Error(ex, "Image processing failed for processor: {ProcessorName}", processorName);
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throw new ImageProcessingException($"Image processing failed: {ex.Message}", ex);
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}
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}, cancellationToken);
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}
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public async Task<ushort[]> ProcessRawFrameAsync(
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ushort[] pixelData,
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int width,
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int height,
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string processorName,
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IDictionary<string, object> parameters,
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CancellationToken cancellationToken = default)
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{
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if (pixelData == null)
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throw new ArgumentException("pixelData cannot be null", nameof(pixelData));
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if (pixelData.Length != width * height)
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throw new ArgumentException(
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$"pixelData length {pixelData.Length} does not match width*height {width * height}");
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if (!_processorRegistry16.TryGetValue(processorName, out var processor))
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throw new ArgumentException($"Processor not registered: {processorName}", nameof(processorName));
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return await Task.Run(() =>
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{
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cancellationToken.ThrowIfCancellationRequested();
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var image = new Image<Gray, ushort>(width, height);
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for (int y = 0; y < height; y++)
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for (int x = 0; x < width; x++)
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image.Data[y, x, 0] = pixelData[y * width + x];
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if (parameters != null)
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{
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foreach (var kvp in parameters)
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processor.SetParameter(kvp.Key, kvp.Value);
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}
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var processed = processor.Process(image);
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var result = new ushort[width * height];
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for (int y = 0; y < height; y++)
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for (int x = 0; x < width; x++)
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result[y * width + x] = processed.Data[y, x, 0];
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return result;
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}, cancellationToken);
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}
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public void Dispose()
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{
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foreach (var processor in _processorRegistry.Values)
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{
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if (processor is IDisposable disposable)
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disposable.Dispose();
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}
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_processorRegistry.Clear();
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foreach (var processor in _processorRegistry16.Values)
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{
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if (processor is IDisposable disposable)
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disposable.Dispose();
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}
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_processorRegistry16.Clear();
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}
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}
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}
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