Genetic Learning for Adaptive Image Segmentation

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160,49 

The Springer International Series in Engineering and Computer Science 287

ISBN: 0792394917
ISBN 13: 9780792394914
Autor: Bhanu, Bir/Sungkee Lee
Verlag: Springer Verlag GmbH
Umfang: xix, 271 S.
Erscheinungsdatum: 30.09.1994
Produktform: Gebunden/Hardback
Einband: GEB

Presents the closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year and weather.

Artikelnummer: 1523148 Kategorie:

Beschreibung

InhaltsangabeList of Figures. Preface. 1. Introduction. 2. Image Segmentation Techniques. 3. Segmentation as an Optimization Problem. 4. Baseline Adaptive Image Segmentation Using a Genetic Algorithm. 5. Basic Experimental Results -- Indoor Imagery. 6. Basic Experimental Results -- Outdoor Imagery. 7. Evaluating the Effectiveness of the Baseline Technique -- Further Experiments. 8. Hybrid Search Scheme for Adaptive Image Segmentation. 9. Simultaneous Optimization of Global and Local Evaluation Measures. 10. Summary. References. Index.

Inhaltsverzeichnis

List of Figures. Preface. 1. Introduction. 2. Image Segmentation Techniques. 3. Segmentation as an Optimization Problem. 4. Baseline Adaptive Image Segmentation Using a Genetic Algorithm. 5. Basic Experimental Results -- Indoor Imagery. 6. Basic Experimental Results -- Outdoor Imagery. 7. Evaluating the Effectiveness of the Baseline Technique -- Further Experiments. 8. Hybrid Search Scheme for Adaptive Image Segmentation. 9. Simultaneous Optimization of Global and Local Evaluation Measures. 10. Summary. References. Index.

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