Effective Hybrid Compression Model for Medical Images - Softcover

Kumar, B. P. Santosh

Softcover

ISBN 10: 6202797622 ISBN 13: 9786202797627

Verlag: LAP LAMBERT Academic Publishing, 2020

Inhaltsangabe

The main objective of this work is to propose efficient ROI based hybrid compression models that can efficiently extract the ROI by segmentation and compress medical images very effectively with good level of visual quality. The work proposes a multiple approach of extracting the ROI such as the sequence of morphological operations for MR Brain images, gradient based approaches and morphological operations for CT Abdomen images and ultra-contour models & structural edge detectors for CT Lung images.To improve the performance of the compression the Convolutional Neural Network (CNN) based segmentation method is used for ROI extraction of MR brain images and the extracted region is compressed with BPT (Binary Plane Technique) operated in both lossy and lossless for NROI and ROI. It is found that the DNN (Deep Neural Network) approach is attained better segmentation efficiency when compared with Satheesh’s approach in terms of accuracy, similarity index and correct detection ratio. The efficiency is improved by 6% than earlier methods.

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Über die Autorin bzw. den Autor

B. P. Santosh Kumar, Assistant Professor, Department of ECE, YSR Engineering College of YVU, Proddatur, India. He received the B.Tech. degree from JNTU Hyderabad, India, the M.Tech. degree from Kerala University, Thiruvananthapuram, India and Ph.D. degree from YVU, kadapa, India. India. His current research interests include image processing

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 6202797622
• ISBN 13: 9786202797627
• Einband: Taschenbuch
• Anzahl der Seiten: 124
• Kontakt zum Hersteller: Fastbook Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland