Genetic Algorithm based Canny distributed edge detection using Xilinx
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Book{Mahalakshmi-Malini:book,
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author = "G. {Mahalakshmi Malini} and R. Sudarmani",
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title = "Genetic Algorithm based {Canny} distributed edge
detection using Xilinx",
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publisher = "Lambert Academic Publishing",
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year = "2020",
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address = "Republic of Moldova, Chisinau-2068, str. A.Russo 15,
of.61",
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month = "25 " # may,
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keywords = "genetic algorithms, genetic programming, EHW,
evolvable hardwarey, image processing",
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isbn13 = "978-6202563628",
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URL = "https://www.lap-publishing.com/catalog/details/store/gb/book/978-620-2-56362-8/genetic-algorithm-based-canny-distributed-edge-detection-using-xilinx",
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URL = "https://www.amazon.co.uk/GENETIC-ALGORITHM-DISTRIBUTED-DETECTION-XILINX/dp/6202563621",
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size = "108 pages",
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abstract = "Edge detection plays a vital role in the areas of
feature detection and feature extraction.
Conventionally, manual operations were performed to set
the window size for extracting edge features. Noise
rejection and edge localisation are the two
contradicting offset in selection of window size. To
overcome this drawback genetic programming is proposed
to search pixels automatically to construct new edge
features for detecting edges in real images. The
proposed method avoids the problem of blurring (large
window) and noise effect (small window) by selecting
the window size. Genetic programming is used for
feature detection and feature extraction to produce
rich information and improves classification accuracy.
The main aim of feature extraction is to reduce the
unwanted data and transform the data bit into a reduced
set of features. MATLAB and Verilog is used for
simulation and implemented on Xilinx virtex-5 FPGA.",
- }
Genetic Programming entries for
G Mahalakshmi Malini
R Sudarmani
Citations