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Synopsis
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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GENETIC ALGORITHM BASED CANNY DISTRIBUTED EDGE DETECTION USING XILINX
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LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10 : 6202563621
ISBN 13 : 9786202563628
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 108 pp. Englisch. N° de réf. du vendeur 9786202563628
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GENETIC ALGORITHM BASED CANNY DISTRIBUTED EDGE DETECTION USING XILINX
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202563621
ISBN 13 : 9786202563628
Neuf
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: G Mahalakshmi MaliniMrs. G. Mahalakshmi Malini, Assistant Professor & Dr. R. Sudarmani, Associate Professor currently working in the Department of Electronics and Communication Engineering, School of Engineering, Avinashilingam Insti. N° de réf. du vendeur 385947622
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GENETIC ALGORITHM BASED CANNY DISTRIBUTED EDGE DETECTION USING XILINX
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202563621
ISBN 13 : 9786202563628
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9786202563628
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GENETIC ALGORITHM BASED CANNY DISTRIBUTED EDGE DETECTION USING XILINX
Edité par
LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10 : 6202563621
ISBN 13 : 9786202563628
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9786202563628
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GENETIC ALGORITHM BASED CANNY DISTRIBUTED EDGE DETECTION USING XILINX
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202563621
ISBN 13 : 9786202563628
Neuf
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Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. GENETIC ALGORITHM BASED CANNY DISTRIBUTED EDGE DETECTION USING XILINX | Mahalakshmi Malini G (u. a.) | Taschenbuch | 108 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202563628 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 118712707
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