非均匀性校正精度是空间红外相机图像质量的一项重要指标,采用像元级双增益时间延迟积分(Time Delay and Integration,TDI)红外探测器得到的图像,其校正精度与图像数据重构之后的线性度直接相关。分析了红外TDI探测器像元级双增益成像...非均匀性校正精度是空间红外相机图像质量的一项重要指标,采用像元级双增益时间延迟积分(Time Delay and Integration,TDI)红外探测器得到的图像,其校正精度与图像数据重构之后的线性度直接相关。分析了红外TDI探测器像元级双增益成像时探测器输出信号的特点,在此基础上提出基于辐射定标的方法,精确得到探测器每个像元高低增益输出值之间的等量关系,确定每个像元的数据重构系数,提高重构之后的全动态范围内探测器信号的线性度,从而提高红外图像非均匀性校正精度。实验室测试数据验证结果表明,基于辐射定标的高精度线性重构方法,将红外图像的非均匀性校正精度由4.1%提高到1.2%。展开更多
Real-time detection for object size has now become a hot topic in the testing field and image processing is the core algorithm. This paper focuses on the processing and display of the collected dynamic images to achie...Real-time detection for object size has now become a hot topic in the testing field and image processing is the core algorithm. This paper focuses on the processing and display of the collected dynamic images to achieve a real-time image pro- cessing for the moving objects. Firstly, the median filtering, gain calibration, image segmentation, image binarization, cor- ner detection and edge fitting are employed to process the images of the moving objects to make the image close to the real object. Then, the processed images are simultaneously displayed on a real-time basis to make it easier to analyze, understand and identify them, and thus it reduces the computation complexity. Finally, human-computer interaction （HCI）-friendly in- terface based on VC ＋＋ is designed to accomplish the digital logic transform, image processing and real-time display of the objects. The experiment shows that the proposed algorithm and software design have better real-time performance and accu- racy which can meet the industrial needs.展开更多
In industrial X-ray inspection, in order to identify weld defects automatically, raise the identification ratio, and avoid processing of complex background, it is an important step for sequent processing to extract we...In industrial X-ray inspection, in order to identify weld defects automatically, raise the identification ratio, and avoid processing of complex background, it is an important step for sequent processing to extract weld from the image. According to the characteristics of weld radiograph image, median filter is adopted to reduce the noise with high frequency, then relative gray-scale of image is chosen as fuzzy characteristic, and image gray-scale fuzzy matrix is constructed and suitable membership function is selected to describe edge characteristic. A fuzzy algorithm is adopted for enhancing radiograph image processing. Based on the intensity distribution characteristic in weld, methodology of weld extraction is then designed. This paper describes the methodology of all the weld extraction, including reducing noise, fuzzy enhancement and weld extraction process. To prove its effectiveness, this methodology was tested with 64 weld negative images available for this study. The experimental results show that this methodology is very effective for extracting linear weld.展开更多
文摘非均匀性校正精度是空间红外相机图像质量的一项重要指标,采用像元级双增益时间延迟积分(Time Delay and Integration,TDI)红外探测器得到的图像,其校正精度与图像数据重构之后的线性度直接相关。分析了红外TDI探测器像元级双增益成像时探测器输出信号的特点,在此基础上提出基于辐射定标的方法,精确得到探测器每个像元高低增益输出值之间的等量关系,确定每个像元的数据重构系数,提高重构之后的全动态范围内探测器信号的线性度,从而提高红外图像非均匀性校正精度。实验室测试数据验证结果表明,基于辐射定标的高精度线性重构方法,将红外图像的非均匀性校正精度由4.1%提高到1.2%。
基金National Natural Science Foundation of China(No.61302159,61227003,61301259)Natual Science Foundation of Shanxi Province(No.2012021011-2)+2 种基金Specialized Research Fund for the Doctoral Program of Higher Education,China(No.20121420110006)Top Science and Technology Innovation Teams of Higher Learning Institutions of Shanxi Province,ChinaProject Sponsored by Scientific Research for the Returned Overseas Chinese Scholars,Shanxi Province(No.2013-083)
文摘Real-time detection for object size has now become a hot topic in the testing field and image processing is the core algorithm. This paper focuses on the processing and display of the collected dynamic images to achieve a real-time image pro- cessing for the moving objects. Firstly, the median filtering, gain calibration, image segmentation, image binarization, cor- ner detection and edge fitting are employed to process the images of the moving objects to make the image close to the real object. Then, the processed images are simultaneously displayed on a real-time basis to make it easier to analyze, understand and identify them, and thus it reduces the computation complexity. Finally, human-computer interaction （HCI）-friendly in- terface based on VC ＋＋ is designed to accomplish the digital logic transform, image processing and real-time display of the objects. The experiment shows that the proposed algorithm and software design have better real-time performance and accu- racy which can meet the industrial needs.
文摘In industrial X-ray inspection, in order to identify weld defects automatically, raise the identification ratio, and avoid processing of complex background, it is an important step for sequent processing to extract weld from the image. According to the characteristics of weld radiograph image, median filter is adopted to reduce the noise with high frequency, then relative gray-scale of image is chosen as fuzzy characteristic, and image gray-scale fuzzy matrix is constructed and suitable membership function is selected to describe edge characteristic. A fuzzy algorithm is adopted for enhancing radiograph image processing. Based on the intensity distribution characteristic in weld, methodology of weld extraction is then designed. This paper describes the methodology of all the weld extraction, including reducing noise, fuzzy enhancement and weld extraction process. To prove its effectiveness, this methodology was tested with 64 weld negative images available for this study. The experimental results show that this methodology is very effective for extracting linear weld.
