A setup based on CMOS sensor and ARM microcontroller is designed to measure the γ-rays.STM32F103 is used as the main platform to control realtime online analysis of the image collected by the OV7670 CAMERACHIP^(TM) a...A setup based on CMOS sensor and ARM microcontroller is designed to measure the γ-rays.STM32F103 is used as the main platform to control realtime online analysis of the image collected by the OV7670 CAMERACHIP^(TM) and send the image into the LCD at the desired frame rate. Accuracy of sampling interval can be regulated and controlled. The frame number of image is adjusted by STM32F103 to achieve better monitoring. Two methods are adopted to analyze the image data from the CMOS sensor. Although the CMOS sensor is of low efficiency for γ-ray detection, the results show that it is able to discriminate the ^(60)Co γ-rays.展开更多
Complementary metal-oxide-semiconductor(CMOS) sensors can convert X-rays into detectable signals; therefore, they are powerful tools in X-ray detection applications. Herein, we explore the physics behind X-ray detecti...Complementary metal-oxide-semiconductor(CMOS) sensors can convert X-rays into detectable signals; therefore, they are powerful tools in X-ray detection applications. Herein, we explore the physics behind X-ray detection performed using CMOS sensors. X-ray measurements were obtained using a simulated positioner based on a CMOS sensor, while the X-ray energy was modified by changing the voltage, current, and radiation time. A monitoring control unit collected video data of the detected X-rays. The video images were framed and filtered to detect the effective pixel points(radiation spots).The histograms of the images prove there is a linear relationship between the pixel points and X-ray energy. The relationships between the image pixel points, voltage, and current were quantified, and the resultant correlations were observed to obey some physical laws.展开更多
基金supported by the Plan for Scientific Innovation Talent of Henan Province(No.154100510007)the Natural and Science Foundation in Henan Province(No.162300410179)
文摘A setup based on CMOS sensor and ARM microcontroller is designed to measure the γ-rays.STM32F103 is used as the main platform to control realtime online analysis of the image collected by the OV7670 CAMERACHIP^(TM) and send the image into the LCD at the desired frame rate. Accuracy of sampling interval can be regulated and controlled. The frame number of image is adjusted by STM32F103 to achieve better monitoring. Two methods are adopted to analyze the image data from the CMOS sensor. Although the CMOS sensor is of low efficiency for γ-ray detection, the results show that it is able to discriminate the ^(60)Co γ-rays.
基金supported by the Plan for Science Innovation Talent of Henan Province(No.154100510007)the Natural and Science Foundation in Henan Province(No.162300410179)the Cultivation Foundation of Henan Normal University National Project(No.2017PL04)
文摘Complementary metal-oxide-semiconductor(CMOS) sensors can convert X-rays into detectable signals; therefore, they are powerful tools in X-ray detection applications. Herein, we explore the physics behind X-ray detection performed using CMOS sensors. X-ray measurements were obtained using a simulated positioner based on a CMOS sensor, while the X-ray energy was modified by changing the voltage, current, and radiation time. A monitoring control unit collected video data of the detected X-rays. The video images were framed and filtered to detect the effective pixel points(radiation spots).The histograms of the images prove there is a linear relationship between the pixel points and X-ray energy. The relationships between the image pixel points, voltage, and current were quantified, and the resultant correlations were observed to obey some physical laws.
