A Cmos Image Sensor Extracting Color Image Feature Values For Object
Categorization System
- doi: 10.1109/ICSENS.2008.4716598
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title: A CMOS image sensor extracting color image
feature values for object categorization system
- publisher: IEEE
- isbn: 978-1-4244-2581-5
- issn: 1930-0395
- partnum: 08CH38040
- rank: 594
- access_type: LOCKED
- content_type: Conferences
-
abstract: A CMOS image sensor having the functions with
extracting color image feature values for real time object
categorization system has been developed. The CMOS image sensor has the
pixels of 5.6-mum-pitch and 640 H x 360 V, and the column arithmetic
logic units (ALUs) which output 36-bit/pixel image feature values
consisting of color information (8-bit/R, G, B) and edge information
(4-bit/R, G, B) in every 240-fps. As a result, the object categorization
system having both high-speed and high-functional processing has been
demonstrated.
- article_number: 4716598
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4716598
-
html_url:
https://ieeexplore.ieee.org/document/4716598/
-
abstract_url:
https://ieeexplore.ieee.org/document/4716598/
- publication_title: SENSORS, 2008 IEEE
- conference_location: Lecce, Italy
- conference_dates: 26-29 Oct. 2008
- publication_number: 4703548
- is_number: 4716361
- publication_year: 2008
- publication_date: 26-29 Oct. 2008
- start_page: 949
- end_page: 952
- citing_paper_count: 1
- citing_patent_count: 0
- download_count: 81
- insert_date: 20081216
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index_terms:
-
ieee_terms:
- CMOS image sensors
- Color
- Feature extraction
- Pixel
- Real time systems
- Image processing
- Interpolation
- Image sensors
- Data mining
- Field programmable gate arrays
-
dynamic_index_terms:
- Feature Values
- Characteristic Values
- Image Sensor
- Camera Sensor
- Value Of Imaging Features
- Color Information
- Edge Information
- High-speed Processing
- High Processing Speed
- Edge Coloring
- Image Processing
- Center Of Mass
- Center Of Gravity
- Extraction Process
- Processing Unit
- Image Object
- Real-time Performance
- Real-time Processing
- Real-time Operation
- Directed Graph
- Directed Edge
- Gradient Direction
- Real Process
- Previous Frame
- Amount Of Cost
- Closed Curve
- Reference Pixels
- List Of Objects
- Interpolation Accuracy
-
isbn_formats:
-
format: CD,
value: 978-1-4244-2581-5,
isbnType: New-2005
-
format: Print ISBN,
value: 978-1-4244-2580-8,
isbnType: New-2005
-
authors:
-
Author Name: T. Kubo
Affiliation: Graduate School of Engineering,
University of Tohoku, Sendai, Japan
Author URL:
https://ieeexplore.ieee.org/author/37648887100
ID: 37648887100
Order: 1
Author Affiliations:
-
Graduate School of Engineering, University of Tohoku, Sendai,
Japan
-
Author Name: S. Sugawa
Affiliation: Graduate School of Engineering,
University of Tohoku, Sendai, Japan
Author URL:
https://ieeexplore.ieee.org/author/37284703100
ID: 37284703100
Order: 2
Author Affiliations:
-
Graduate School of Engineering, University of Tohoku, Sendai,
Japan
Image Sensor
- sensor_type: CMOS
- resolution: 640H x 360V
- dynamic_range: Not specified
- pixel_size: 5.6 μm
- 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: Applicable in human recognition, scene
segmentation, factory automation, intelligent transport systems, and
image database construction.
-
benefits: Enables real-time object categorization with
high speed and accurate processing.
Supporting Organizations
- supported_by: Tohoku University
Manuscript Details
- publication_date: 26-29 Oct. 2008
Relevancy Score
- score: 10
-
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_261a2da4-9f64-4c33-8d7f-ff7aaebbfb22-a_cmos_image_sensor_extracting_color_image_feature_values_for_object_categorization_system.json