Research On Agv Visual Perception Dynamic Exposure Algorithm Based On Gray Entropy Threshold Difference Value

• doi: 10.1109/CTISC54888.2022.9849781
• title: Research on AGV visual perception dynamic exposure algorithm based on gray entropy threshold difference value
• publisher: IEEE
• isbn: 978-1-6654-5873-3
• issn:
• rank: 3454
• access_type: LOCKED
• content_type: Conferences
• abstract: For the narrow dynamic range camera commonly equipped on outdoor AGV vehicles, when the traditional exposure algorithm is used in the environment with variable light intensity, sometimes over-exposure and under-exposure will occur, which makes it difficult to obtain balanced exposure effect. In order to solve the problem of poor adaptability of traditional exposure algorithm to AGV narrow dynamic range CMOS sensor, an exposure algorithm based on gray entropy threshold difference value is proposed in this paper. Firstly, according to the distribution characteristics of key road information in the image obtained by AGV, regions of interest in the image are divided to exclude the interference of background information on subsequent processing. Then, the gray entropy threshold difference value is obtained by combining the OTSU threshold and the one-dimensional entropy value of the image, and it is used as a final control parameters to dynamically adjust the exposure time. This parameter has the advantages of gray threshold selection method and image information entropy method, it can feedback the current image quality more reasonably. Experimental results show that the algorithm can effectively adjust exposure under different illumination intensity. The algorithm can not only get better exposure effect, but also has better adaptability and stability in comparison with the conventional algorithm.
• article_number: 9849781
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9849781
• html_url: https://ieeexplore.ieee.org/document/9849781/
• abstract_url: https://ieeexplore.ieee.org/document/9849781/
• publication_title: 2022 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC)
• conference_location: Suzhou, China
• conference_dates: 22-24 April 2022
• publication_number: 9849705
• is_number: 9849682
• publication_year: 2022
• publication_date: 22-24 April 2022
• start_page: 1
• end_page: 6
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 88
• insert_date: 20220815
• index_terms:
  • ieee_terms:
    • Visualization
    • Heuristic algorithms
    • Roads
    • Lighting
    • Dynamic range
    • Entropy
    • Real-time systems
  • author_terms:
    • AGV
    • Exposure time
    • gray entropy threshold difference value
    • OTSU
    • Image one-dimensional entropy
  • dynamic_index_terms:
    • Dynamic Algorithm
    • Gray Threshold
    • Grey Threshold
    • Illumination
    • Lighting
    • Exposure Time
    • Light Intensity
    • Effects Of Exposure
    • Image Quality
    • Dynamic Range
    • Control Parameters
    • Image Information
    • Value Of Image
    • Information Methods
    • Information Method
    • Information Entropy
    • Gray Images
    • Grey Images
    • Interest In Images
    • Image Thresholding
    • Otsu Thresholding
    • Variations In Light Intensity
    • Grey Method
    • Gray Method
    • Road Information
    • Light Environment
    • Image Entropy
    • Ideal Range
    • Grayscale
    • Greyscale
    • Gray Level
    • Information Content
    • Surprisal
    • Strong Light
    • Adjustment Time
    • Threshold Segmentation
    • Evaluation Index
    • Evaluation Indices
    • Index Rate
    • Field Of View
    • Field-of-view
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-5873-3, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-5872-6, isbnType: New-2005
• authors:
  • Author Name: Junbao Zheng
    Affiliation: School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China
    Author URL: https://ieeexplore.ieee.org/author/37672976500
    ID: 37672976500
    Order: 1
    Author Affiliations:
    • School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China
  • Author Name: Zihan Zhang
    Affiliation: School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China
    Author URL: https://ieeexplore.ieee.org/author/37089482451
    ID: 37089482451
    Order: 2
    Author Affiliations:
    • School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: narrow
• pixel_size: not specified
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

Applications & Benefits

• cell_imaging: not specified
• benefits: enables digital imaging in a variety of applications such as smartphones, medical devices, and automotive systems

Supporting Organizations

• supported_by: R&D Program of Work Safety Science of Zhejiang

Manuscript Details

• publication_date: 22-24 April 2022

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits
  • publication_date

Processed JSON Filename

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