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Jungfraujoch/image_analysis/MXAnalysisWithoutFPGA.h
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leonarski_fandClaude Opus 4.8 58910274bf image_analysis: compute ROI statistics in the non-FPGA path
MXAnalysisWithoutFPGA never filled DataMessage.roi, so ROI integrals were
only available on the FPGA path. Add a software ROI engine that mirrors the
FPGA roi_calc kernel: per-ROI sum, sum of squares, good-pixel count, max and
intensity-weighted centre of mass, with each pixel carrying a 16-bit mask so
it can contribute to any subset of up to 16 ROIs.

New image_analysis/roi/ library (JFJochROIIntegration), structured like azint:
a base that precomputes the per-pixel mask and names, a templated CPU engine
(generic over pixel type for a future 16-bit path), and a GPU kernel using
per-block shared-memory atomics for the STXM case (half-detector ROIs).

Masked pixels are excluded entirely; saturated pixels are excluded from the
sums but still count towards the max, matching roi_calc exactly. The engine is
only constructed when at least one ROI is defined. Downstream CBOR/HDF5 already
consume message.roi, so no further changes are needed.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-17 21:15:54 +02:00

54 lines
1.8 KiB
C++

// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <mutex>
#include "../common/JFJochMessages.h"
#include "../common/DiffractionExperiment.h"
#include "../common/AzimuthalIntegrationMapping.h"
#include "../common/PixelMask.h"
#include "../common/AzimuthalIntegrationProfile.h"
#include "bragg_prediction/BraggPrediction.h"
#include "spot_finding/ImageSpotFinder.h"
#include "indexing/IndexerThreadPool.h"
#include "azint/AzIntEngine.h"
#include "roi/ROIIntegration.h"
#include "IndexAndRefine.h"
#include "image_preprocessing/ImagePreprocessor.h"
#include "image_preprocessing/ImagePreprocessorBuffer.h"
// MXAnalysisWithoutFPGA is not thread safe - it has to owned by a single thread
class MXAnalysisWithoutFPGA {
const DiffractionExperiment &experiment;
const AzimuthalIntegrationMapping &integration;
std::vector<uint8_t> decompression_buffer;
std::unique_ptr<ImagePreprocessor> preprocessor;
size_t npixels;
size_t xpixels;
std::unique_ptr<AzIntEngine> azint;
std::unique_ptr<ROIIntegration> roi;
std::unique_ptr<ImageSpotFinder> spotFinder;
IndexAndRefine &indexer;
std::unique_ptr<BraggPrediction> prediction;
std::unique_ptr<ImagePreprocessorBuffer> preprocessor_buffer;
const PixelMask &mask;
std::vector<bool> mask_resolution;
float mask_high_res;
float mask_low_res;
void UpdateMaskResolution(const SpotFindingSettings& settings);
public:
MXAnalysisWithoutFPGA(const DiffractionExperiment &experiment, const AzimuthalIntegrationMapping &integration,
const PixelMask &mask, IndexAndRefine &indexer);
void Analyze(DataMessage &output, AzimuthalIntegrationProfile &profile, const SpotFindingSettings &spot_finding_settings);
};