基于QT/C++的红外探测器多区域性能分析系统

针对不同类型红外探测器对测试数据分析筛选需求的差异性问题，提出了一种基于QT/C++的红外探测器多区域性能分析系统。该系统以传统红外探测器测试系统为基础，使用QT软件及C++语言扩展开发性能分析软件。所开发的软件嵌入OpenCV插件库，具备区域划分、盲元筛选、指标计算和盲元簇识别等功能。使用640×512甚长波碲镉汞探测器测试数据验证所开发软件的性能分析功能。结果表明，所开发的软件具备高效数据处理及准确性能分析的能力，并能够提供盲元位置及盲元簇图。与现有测试系统相比，所提出的分析系统可提高针对全阵列尺寸和不同材料探测器的性能分析能力及测试效率。

The Multi-region Performance Analysis System for Infrared Detectors Based on QT/C++

A multi-region performance analysis system for infrared detector based on QT/C++ is proposed to address the differences in the requirements for testing data analysis and screening among different types of infrared detectors. The analysis system is based on traditional infrared detector testing system, and performance analysis software is developed using QT software and C++ language. The developed software is embedded in the OpenCV plugin library and has functions such as region partitioning, blind element filtering, index calculation, and blind element cluster recognition. The test data from the very-long-wavelength 640×512 HgCdTe detector is used to verify the performance analysis function of the developed software. The verification results prove that the developed software has the ability to efficiently process data and accurately analyze performance, and can provide blind element positions and blind element cluster maps. Compared with existing testing systems, the proposed analysis system can improve performance analysis capabilities and testing efficiency for detectors of full array size and different materials.