A New Laser Collimating Method Based On Image Processing
- doi: 10.1109/AICI.2009.437
-
title: A New Laser Collimating Method Based on Image
Processing
- publisher: IEEE
- isbn: 978-0-7695-3816-7
- issn:
- partnum: 09PR3816
- rank: 849
- access_type: LOCKED
- content_type: Conferences
-
abstract: Aiming at the need of verticality and
parallelity in the process of equipping elevator for high building. The
method is in operation in which frosted glass are rayed by laser
collimating beam brought with concentric circles interference fringes,
the image can be captured by using CMOS sensor, and can be processed
automatically when carried into computer by USB I/O. Based on Hough
transform algorithm, the center of concentric circles diffraction
fringes can be automatically acquired and tracked at quasi-real-time
condition. The range is 128 × 96 mm2 which the circle diffraction fringe
can be received, and the precision of center coordinates is about 1 or 2
pixels. It is proved that the method can greatly meet the need of
building measurement, and that can be applied to all sorts of highly
precise collimating measures.
- article_number: 5376752
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5376752
-
html_url:
https://ieeexplore.ieee.org/document/5376752/
-
abstract_url:
https://ieeexplore.ieee.org/document/5376752/
-
publication_title: 2009 International Conference on
Artificial Intelligence and Computational Intelligence
- conference_location: Shanghai, China
- conference_dates: 7-8 Nov. 2009
- publication_number: 5375738
- is_number: 5376487
- publication_year: 2009
- publication_date: 7-8 Nov. 2009
- start_page: 452
- end_page: 456
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 74
- insert_date: 20100112
-
index_terms:
-
ieee_terms:
- Collimators
- Image processing
- CMOS image sensors
- Diffraction
- Elevators
- Glass
- Laser beams
- Interference
- CMOS process
- Universal Serial Bus
-
author_terms:
- Circle diffraction fringes
- Hough Transform
- Gradient direction
- Edge detection
- Laser collimation
-
dynamic_index_terms:
- Image Processing
- Coordinating Center
- Hough Transform
- Hough Space
- Frosted Glass
- Textured Glass
- Laser Beam
- Binary Image
- Gradient Direction
- Center Of The Circle
- Diffraction Rings
- Airy Disk
- Airy Pattern
- Light Spot
- Threshold Segmentation
- Effective Pixel
- Single Circle
-
isbn_formats:
-
format: CD,
value: 978-0-7695-3816-7,
isbnType: New-2005
-
format: Print ISBN,
value: 978-1-4244-3835-8,
isbnType: New-2005
-
authors:
-
Author Name: Lou Yuehuan
Affiliation: Department of Computer Science and
Technology, Shanghai University of Electric Power Shanghai,
Shanghai, China
Author URL:
https://ieeexplore.ieee.org/author/37671779800
ID: 37671779800
Order: 1
Author Affiliations:
-
Department of Computer Science and Technology, Shanghai
University of Electric Power Shanghai, Shanghai, China
-
Author Name: He Ping'an
Affiliation: Department of Photoelectric
Information Engineering, Wuhan University Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37085938236
ID: 37085938236
Order: 2
Author Affiliations:
-
Department of Photoelectric Information Engineering, Wuhan
University Wuhan, China
Image Sensor
- sensor_type: CMOS
- resolution: 128 × 96
- dynamic_range: Not specified
- 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: Not specified
Supporting Organizations
- supported_by: Not specified
Manuscript Details
- publication_date: 7-8 Nov. 2009
Relevancy Score
- score: 7
-
missing_fields:
- 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
- supported_by
Processed JSON Filename
request_f95969d4-9d22-4f43-aea9-0e7fad00c6ab-a_new_laser_collimating_method_based_on_image_processing.json