DEEP LEARNING METHODS FOR IMAGE PROCESSING WORKFLOWS - Softcover

J, Rajeswari; S, Piriyadharshini; S, Senthil Kumar

Softcover

ISBN 10: 6209438954 ISBN 13: 9786209438950

Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

Deep learning has fundamentally transformed image processing from hand-crafted algorithmic pipelines into end-to-end learned systems capable of human-surpassing performance across classification, detection, segmentation, generation, and restoration tasks. Convolutional neural networks replace decades-old filtering, thresholding, and feature engineering with hierarchical feature extractors learning directly from raw pixels through millions of parameterized filters trained via gradient descent. This paradigm shift eliminates brittle cascade architectures where edge detection failure propagates through Hough voting to tracking collapse, replacing sequential failure modes with robust holistic understanding emerging from statistical training. Modern vision transformers extend convolutional foundations through global self-attention mechanisms modeling long-range spatial dependencies absent from purely local receptive fields.

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Über die Autorin bzw. den Autor

Dr. J. Rajeswari is working as Assistant Professor in Biomedical Engineering Department in Agni College of Technology.Mrs. S. Piriyadharshini is working as Assistant Professor in ECE Department in Agni College of Technology.Dr. S. Senthil Kumar is working as Professor in ECE Department in Agni College of Technology.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 6209438954
• ISBN 13: 9786209438950
• Einband: Taschenbuch
• Anzahl der Seiten: 156
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland