Files
Jungfraujoch/image_analysis/roi/ROIIntegration.h
T
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

47 lines
1.7 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <cstdint>
#include <map>
#include <string>
#include <vector>
#include "../../common/JFJochMessages.h"
#include "../image_preprocessing/ImagePreprocessorBuffer.h"
class DiffractionExperiment;
// Computes per-ROI statistics over an assembled image: sum, sum of squares,
// good-pixel count, maximum and intensity-weighted centre of mass. Each pixel
// carries a 16-bit mask selecting which of up to 16 ROIs it belongs to, so a
// single pixel can contribute to none, one, or several ROIs at once. This is
// the software counterpart of the FPGA roi_calc kernel.
class ROIIntegration {
protected:
std::vector<uint16_t> roi_map; // per-pixel ROI bitmask, assembled (converted) geometry
size_t width; // assembled image width, to recover x/y from a pixel index
size_t npixel;
uint16_t roi_count;
std::vector<std::string> roi_name; // ROI name indexed by bit position
// Result accumulators, filled by Run() in the derived class
std::vector<int64_t> roi_sum;
std::vector<uint64_t> roi_sum2;
std::vector<uint64_t> roi_pixels;
std::vector<int64_t> roi_x_weighted;
std::vector<int64_t> roi_y_weighted;
std::vector<int64_t> roi_max;
void Export(std::map<std::string, ROIMessage> &out) const;
public:
explicit ROIIntegration(const DiffractionExperiment &experiment);
virtual ~ROIIntegration() = default;
[[nodiscard]] uint16_t Count() const { return roi_count; }
[[nodiscard]] bool empty() const { return roi_count == 0; }
virtual void Run(const ImagePreprocessorBuffer &image, std::map<std::string, ROIMessage> &out) = 0;
};