Radiation Event Extraction Algorithm For Cmos Cameras In Dynamic Environments

• doi: 10.1109/CISP-BMEI60920.2023.10373259
• title: Radiation Event Extraction Algorithm for CMOS Cameras in Dynamic Environments
• publisher: IEEE
• isbn: 979-8-3503-3076-2
• issn:
• rank: 3363
• access_type: LOCKED
• content_type: Conferences
• abstract: CMOS sensors, which can directly interact with high-energy radiation and are widely distributed at an affordable price, have opened up a new avenue for nuclear security. When using CMOS sensors to detect nuclear radiation events, the main sources of interference are moving objects and changes in lighting conditions. This paper presents a radiation event extraction algorithm based on multi-scale spatial processing, combining frame differencing and the CNT algorithm. The input video sequence undergoes a pyramid transformation to obtain three layers of images at different resolutions. Three-frame differencing is applied at each resolution level, followed by thresholding and result fusion to extract radiation and motion information. Simultaneously, the CNT algorithm, morphological operations, and median filtering are applied at different resolution levels to extract motion information. Finally, radiation information is obtained by subtracting motion information from the fused radiation and motion result. Experimental results demonstrate that multi-scale spatial processing can reduce the impact of dynamic backgrounds and lighting variations. Additionally, the number of radiation event frames at various distances fits a square inverse relationship with the distance from the radiation source, allowing for accurate radiation event extraction.
• article_number: 10373259
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10373259
• html_url: https://ieeexplore.ieee.org/document/10373259/
• abstract_url: https://ieeexplore.ieee.org/document/10373259/
• publication_title: 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
• conference_location: Taizhou, China
• conference_dates: 28-30 Oct. 2023
• publication_number: 10373215
• is_number: 10373216
• publication_year: 2023
• publication_date: 28-30 Oct. 2023
• start_page: 1
• end_page: 6
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 47
• insert_date: 20240102
• index_terms:
  • ieee_terms:
    • Heuristic algorithms
    • Dynamics
    • Video sequences
    • Signal processing algorithms
    • Lighting
    • Interference
    • Signal processing
  • author_terms:
    • CMOS camera
    • nuclear radiation detection
    • radiation spots
  • dynamic_index_terms:
    • Effects Of Radiation
    • Effects Of Radiotherapy
    • Effect Of Irradiation
    • Decay Rate
    • Radioactive Decay
    • Radiation Source
    • Radioactive Source
    • Irradiation Source
    • Median Filter
    • Video Sequences
    • Variable Light
    • Motion Information
    • Extraction Accuracy
    • Morphological Operations
    • High-energy Radiation
    • High-energy Irradiation
    • Changing Light Conditions
    • Nuclear Security
    • Visible Light
    • Visible Region
    • Visible Spectrum
    • Unit Time
    • Radiation Dose
    • Irradiation Dose
    • Information Extraction
    • Point Source
    • Convolution Kernel
    • Binary Image
    • Removal Of Information
    • Multiscale Method
    • Dynamic Scenes
    • Multiscale Algorithm
    • Nuclear Technology
    • Nuclear Engineering
    • Grayscale Value
    • Greyscale Values
    • Scale Resolution
    • Current Frame
    • Shading Conditions
    • Pyramidal Layer
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-3076-2, isbnType: New-2005
  • format: USB ISBN, value: 979-8-3503-3074-8, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-3075-5, isbnType: New-2005
• authors:
  • Author Name: Jie Gu
    Affiliation: Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/490321420775528
    ID: 490321420775528
    Order: 1
    Author Affiliations:
    • Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
    • Shunde Innovation School, University of Science and Technology Beijing, Foshan, China
  • Author Name: Jiang N
    Affiliation: Beijing Novel Medical Equipment Ltd, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/365369059285258
    ID: 365369059285258
    Order: 2
    Author Affiliations:
    • Beijing Novel Medical Equipment Ltd, Beijing, China
  • Author Name: Hou Y
    Affiliation: Beijing Novel Medical Equipment Ltd, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/837706654889621
    ID: 837706654889621
    Order: 3
    Author Affiliations:
    • Beijing Novel Medical Equipment Ltd, Beijing, China
  • Author Name: Wei Q
    Affiliation: Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/214760130287880
    ID: 214760130287880
    Order: 4
    Author Affiliations:
    • Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

Image Sensor

• sensor_type: CMOS
• resolution: 1920x1080
• dynamic_range: Not specified
• pixel_size: 3mm x 3mm
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 30fps

Applications & Benefits

• cell_imaging: Used in medical devices for imaging applications.
• benefits: Low power consumption, small size, and wide availability.

Supporting Organizations

• supported_by: National Key R&D Program of China, National Natural Science Foundation of China, Research and development plan in key areas of Guangdong Province.

Manuscript Details

• publication_date: 28-30 Oct. 2023

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_39871ba8-86e2-435a-8ec5-f66f32329018-radiation_event_extraction_algorithm_for_cmos_cameras_in_dynamic_environments.json