Implementation Of Efficient Image Processing Algorithm On Fpga
- doi: 10.1109/ICMIRA.2013.70
-
title: Implementation of Efficient Image Processing
Algorithm on FPGA
- publisher: IEEE
- isbn: 978-0-7695-5013-8
- issn:
- rank: 2734
- access_type: LOCKED
- content_type: Conferences
-
abstract: FPGA is most popular for accelerating image
processing due to its flexibility and parallelism. An efficient image
processing algorithm (C3 - Algorithm) is proposed in this paper. The
proposed algorithm detects objects accurately from a reference image
irrespective of background while at the same time eliminating the
background. The main objective of proposed system is to track objects
accurately irrespective of background. The system uses Xilinx's Virtex-5
FPGA, a VMOD TFT board, and a C3088 camera module having CMOS image
sensor which eliminates the use of frame grabber. The proposed Algorithm
has been compared with Histogram and Correlation Algorithm in MATLAB and
better results are obtained in terms of pixels matching and time of
execution.
- article_number: 6918847
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918847
-
html_url:
https://ieeexplore.ieee.org/document/6918847/
-
abstract_url:
https://ieeexplore.ieee.org/document/6918847/
-
publication_title: 2013 International Conference on
Machine Intelligence and Research Advancement
- conference_location: Katra
- conference_dates: 21-23 Dec. 2013
- publication_number: 6917607
- is_number: 6918774
- publication_year: 2013
- publication_date: 21-23 Dec. 2013
- start_page: 335
- end_page: 339
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 428
- insert_date: 20141009
-
index_terms:
-
ieee_terms:
- Field programmable gate arrays
- Cameras
- Algorithm design and analysis
- Thin film transistors
- Image color analysis
- Machine vision
-
author_terms:
- FPGA
- Image Processing
- VHDL
- C3088
- VMOD TFT
-
dynamic_index_terms:
- Image Processing
- Reference Image
- Correlation Algorithm
- Camera Module
- Frame Grabber
- Expected Value
- Visual System
- Object Detection
- Background Subtraction
- Processing Power
- Sub-pixel
- Reference Object
- Portion Of The Image
- Help Of Images
- Discrete Cosine Transform
- System-on-chip
- Value Of Block
- Value Of Each Block
- Camera Control
- Target Window
-
isbn_formats:
-
format: Electronic ISBN,
value: 978-0-7695-5013-8,
isbnType: New-2005
-
authors:
-
Author Name: Rogin Khosla
Affiliation: ACS Division, Center for Development
of Advanced Computing, Mohali, India
Author URL:
https://ieeexplore.ieee.org/author/37085651443
ID: 37085651443
Order: 1
Author Affiliations:
-
ACS Division, Center for Development of Advanced Computing,
Mohali, India
-
Author Name: Balwinder Singh
Affiliation: ACS Division, Center for Development
of Advanced Computing, Mohali, India
Author URL:
https://ieeexplore.ieee.org/author/37085514836
ID: 37085514836
Order: 2
Author Affiliations:
-
ACS Division, Center for Development of Advanced Computing,
Mohali, India
Image Sensor
- sensor_type: CMOS
- resolution: not specified
- 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: 21-23 Dec. 2013
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
- supported_by
- publication_date
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