Processing of Hyperspectral Medical Images: Applications in Dermatology Using Matlab®: Studies in Computational Intelligence, cartea 682
Autor Robert Koprowskien Limba Engleză Hardback – 16 dec 2016
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Paperback (1) | 633.34 lei 43-57 zile | |
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Springer International Publishing – 16 dec 2016 | 639.42 lei 43-57 zile |
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Specificații
ISBN-13: 9783319504896
ISBN-10: 3319504894
Pagini: 127
Ilustrații: XIII, 127 p. 56 illus., 54 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.38 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319504894
Pagini: 127
Ilustrații: XIII, 127 p. 56 illus., 54 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.38 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Processing of Hyperspectral Medical Images: Applications in Dermatology Using Matlab®.- Foreword.- Preface.- Acknowledgments.- List of selected symbols.- Chapter1: Introduction.- Chapter2: Image acquisition.- Chapter3: Image pre-processing.- Chapter4: Image processing.- Chapter5: Classification.- Chapter6: Sensitivity to parameter changes.- Chapter7: Conclusions.- Appendix.- References.- Summary.
Textul de pe ultima copertă
This book presents new methods of analyzing and processing hyperspectral medical images, which can be used in diagnostics, for example for dermatological images. The algorithms proposed are fully automatic and the results obtained are fully reproducible. Their operation was tested on a set of several thousands of hyperspectral images and they were implemented in Matlab. The presented source code can be used without licensing restrictions. This is a valuable resource for computer scientists, bioengineers, doctoral students, and dermatologists interested in contemporary analysis methods.
Caracteristici
Introduces methods of analysis and processing of hyperspectral medical images which have been tested in practice in the Matlab® environment Presents the applied source code and describes it in detail Can also be used to teach advanced engineering students in fields related to computer science