An Improved Edge Detection Algorithm for Noisy Coloured Images
3 Angebote vergleichen
Bester Preis: € 47,40 (vom 02.01.2017)1
An Improved Edge Detection Algorithm for Noisy Coloured Images
DE HC NWISBN: 9783330013896 bzw. 3330013893, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
This work presents an improved edge detection algorithm using particle swarm optimization based on vector order statistics. The algorithm addressed the performance of edge detection in coloured images, with a view to minimizing broken, false and thick edges whilst reducing the presence of noise as well as computational time. A collection scheme based on step and ramp edges was developed for the edge detection algorithm, which explores a larger area in the images in order to reduce false and This work presents an improved edge detection algorithm using particle swarm optimization based on vector order statistics. The algorithm addressed the performance of edge detection in coloured images, with a view to minimizing broken, false and thick edges whilst reducing the presence of noise as well as computational time. A collection scheme based on step and ramp edges was developed for the edge detection algorithm, which explores a larger area in the images in order to reduce false and broken edges. The algorithm was also applied to facial and remotely sensed images in order to test the algorithm on real life images. The Pratt Figure of Merit (PFOM) was used as a quantitative comparison between the developed algorithm and the proven edge detection algorithms such as the roberts, prewitt, canny and laplacian edge detection algorithms. Lieferzeit 1-2 Werktage.
This work presents an improved edge detection algorithm using particle swarm optimization based on vector order statistics. The algorithm addressed the performance of edge detection in coloured images, with a view to minimizing broken, false and thick edges whilst reducing the presence of noise as well as computational time. A collection scheme based on step and ramp edges was developed for the edge detection algorithm, which explores a larger area in the images in order to reduce false and This work presents an improved edge detection algorithm using particle swarm optimization based on vector order statistics. The algorithm addressed the performance of edge detection in coloured images, with a view to minimizing broken, false and thick edges whilst reducing the presence of noise as well as computational time. A collection scheme based on step and ramp edges was developed for the edge detection algorithm, which explores a larger area in the images in order to reduce false and broken edges. The algorithm was also applied to facial and remotely sensed images in order to test the algorithm on real life images. The Pratt Figure of Merit (PFOM) was used as a quantitative comparison between the developed algorithm and the proven edge detection algorithms such as the roberts, prewitt, canny and laplacian edge detection algorithms. Lieferzeit 1-2 Werktage.
2
An Improved Edge Detection Algorithm for Noisy Coloured Images
EN NWISBN: 9783330013896 bzw. 3330013893, in Englisch, neu.
Lieferung aus: Deutschland, Versandfertig innerhalb von 3 Wochen.
An Improved Edge Detection Algorithm for Noisy Coloured Images, This work presents an improved edge detection algorithm using particle swarm optimization based on vector order statistics. The algorithm addressed the performance of edge detection in coloured images, with a view to minimizing broken, false and thick edges whilst reducing the presence of noise as well as computational time. A collection scheme based on step and ramp edges was developed for the edge detection algorithm, which explores a larger area in the images in order to reduce false and broken edges. The algorithm was also applied to facial and remotely sensed images in order to test the algorithm on real life images. The Pratt Figure of Merit (PFOM) was used as a quantitative comparison between the developed algorithm and the proven edge detection algorithms such as the roberts, prewitt, canny and laplacian edge detection algorithms.
An Improved Edge Detection Algorithm for Noisy Coloured Images, This work presents an improved edge detection algorithm using particle swarm optimization based on vector order statistics. The algorithm addressed the performance of edge detection in coloured images, with a view to minimizing broken, false and thick edges whilst reducing the presence of noise as well as computational time. A collection scheme based on step and ramp edges was developed for the edge detection algorithm, which explores a larger area in the images in order to reduce false and broken edges. The algorithm was also applied to facial and remotely sensed images in order to test the algorithm on real life images. The Pratt Figure of Merit (PFOM) was used as a quantitative comparison between the developed algorithm and the proven edge detection algorithms such as the roberts, prewitt, canny and laplacian edge detection algorithms.
3
Symbolbild
DESIGN VAN DE 20STE EEUW DISPLAY 10 EX (2016)
DE PB NW RPISBN: 9783330013896 bzw. 3330013893, in Deutsch, Uitgever onbekend, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Lade…