Optimal Multilevel Threshold Selection for Brain MR Image Segmentation: Optimal MR Image Thresholding using bio and nature inspired algorithms - Softcover

Injeti, Satish Kumar; Kotte, Sowjanya

 
9786139970469: Optimal Multilevel Threshold Selection for Brain MR Image Segmentation: Optimal MR Image Thresholding using bio and nature inspired algorithms
Softcover
ISBN 10: 6139970466 ISBN 13: 9786139970469
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

Medical image processing is one of the real research regions in the most recent four decades. Segmentation partitions an image into constituent parts. This basic operation helps to analyze and interpret a certain region of interest of an image. Image segmentation helps in diagnosing abnormality in brain or any part of the body from the MRI scan or PET scan. Presently MRI is the most popular clinical diagnostic procedure for detection of any brain disorder, as it is a complete non-invasive method. Moreover, its ability to produce high resolution spatial images and its sensitivity towards differentiating neurological tissues help in diagnosis, prognosis, pre-surgical and post-surgical treatment planning for various diseases. If image segmentation can be done in an effective way, then the lesions, or the disorder, if present, can be classified to an effectual micro-level. This book presents a fast and efficient nature inspired optimization approaches for the optimal selection of threshold levels for brain MR image pre segmentation. We hope this book is most useful for the researchers and masters level students who were in the area of digital image processing.

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Über die Autorin bzw. den Autor

Dr. Satish Kumar Injeti was Assistant Professor in Electrical Engineering, National Institute of Technology Warangal, Telengana State, India. He received her B.Tech., M.Tech., and Ph.D. from JNTU Hyderabad, JNTU Anantapur and JNTU Kakinada respectively. His research interests: power, energy system optimization, digital signal and image processing.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
6139970466
ISBN 13 
9786139970469
Einband
Taschenbuch
Anzahl der Seiten
96
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Edicoes Nosso Conhecimento
customerservice@vdm-vsg.de

SIA
Riga
1039
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