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portada Genetic Algorithm Based Canny Distributed Edge Detection Using Xilinx
Type
Physical Book
Author
Publisher
Language
English
Pages
108
Format
Paperback
Dimensions
22.9 x 15.2 x 0.7 cm
Weight
0.17 kg.
ISBN13
9786202563628
Categories

Genetic Algorithm Based Canny Distributed Edge Detection Using Xilinx

Mahalakshmi Malini G (Author) · Sudarmani R (Author) · LAP Lambert Academic Publishing · Paperback

Genetic Algorithm Based Canny Distributed Edge Detection Using Xilinx - G, Mahalakshmi Malini ; R, Sudarmani

New Book Imported to Taiwan
Delivery: 26 Aug - 04 Sep Shipping: 13 to 14 business days.
NT$ 2,066
NT$ 2,066

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Synopsis "Genetic Algorithm Based Canny Distributed Edge Detection Using Xilinx"

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 localization 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.

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