- Tapa blanda: 276 páginas
- Editor: Springer; Edición: 1st ed. 2009 (31 de agosto de 2011)
- Colección: Undergraduate Topics in Computer Science
- Idioma: Inglés
- ISBN-10: 1848001908
- ISBN-13: 978-1848001909
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
- Clasificación en los más vendidos de Amazon: nº274.481 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
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Principles of Digital Image Processing: Fundamental Techniques (Undergraduate Topics in Computer Science) (Inglés) Tapa blanda – 31 ago 2011
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Descripción del producto
From the reviews:
"This slim volume is the first of a three-volume set. … the book’s overall coverage is sound--well written, with plenty of illustrative examples and elegant diagrams. … this book is a fine introduction to image processing, and some topics--color, in particular--are very well done indeed. … In summary, this is mostly a fine text. … with the addition of more exercises, this would be an excellent introduction to the field." (Alasdair McAndrew, ACM Computing Reviews, August, 2009)
Reseña del editor
This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.Ver Descripción del producto
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I would like to have seen a bit more content about the concepts and principles of to the hardware of image capture in the first chapter. I would maintain that, to appreciate fully the operations that are done with software to change an image histogram, one should first understand how the hardware "camera" system captures an image in the first place. Discussions about such things as the effects on image histograms by changing the equivalent parameters to f-stop or shutter speed merit some consideration. So do discussions about the differences between the pixels in a detector versus the pixels on a monitor that is used to view the captured image.
I also admit, the codes that are provided in the book for ImageJ are of little interest to me directly or as a primary part of my teaching exercises. I take more of a "plug-and-play" approach to image processing with software right now. OTOH, I admit that having the codes is nice as reference should I ever change my mind.
This book was highly recommended on a professional network forum as the response to a question about the best book to learn image processing. I concur with the recommendation.
The 3 stars are due to the fact that Amazon sells it in black and white. The original book, as sold on the publisher's website, is in color. This is a very crucial difference, as Chapter 8 deals with color images, which is very hard to follow when the "color images" that it deals with are actually printed in shades of gray. I am going to return my copy.