Genetic Algorithm based Canny distributed edge detection using Xilinx

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Book{Mahalakshmi-Malini:book,

• author = "G. {Mahalakshmi Malini} and R. Sudarmani",
• title = "Genetic Algorithm based {Canny} distributed edge detection using Xilinx",
• publisher = "Lambert Academic Publishing",
• year = "2020",
• address = "Republic of Moldova, Chisinau-2068, str. A.Russo 15, of.61",
• month = "25 " # may,
• keywords = "genetic algorithms, genetic programming, EHW, evolvable hardwarey, image processing",
• isbn13 = "978-6202563628",
• 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",
• URL = "https://www.amazon.co.uk/GENETIC-ALGORITHM-DISTRIBUTED-DETECTION-XILINX/dp/6202563621",
• size = "108 pages",
• 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