Hands-On Image Processing with Python

Should have been colour print , how Cann one understand image processing when they are in grey mode.

Das Buch liefert als Hands-On Handbuch, die Möglichkeit, die im Buch beschriebenen Beispiele mit vergleichsweise wenig Aufwand selbst nachzuvollziehen. Faktisch auf dem eigenen Laptop Python zu installieren, die relevanten Pakete runterzuladen und dann anhand der Download-baren Skripte und Bilder von Packt.com die angegebenen Beispiele auf dem eigenen Laptop durchzurechnen. Damit ist für mich die Anforderung an ein Hands-On Handbuch absolut erfüllt. Ich habe vorher noch nie mit Python gearbeitet, habe aber umfangreiche Programmiererfahrung mit Matlab und C++. Das erfolgreiche Ausführen eines der Beispiele zum Inpainting in Kapitel 12 Seiten 450 bis 452 hat etwa 3 Stunden gedauert (inkl. der gesamten Installation der notwendigen SW).

I bought this book to learn basic tools and techniques of image (pre)processing, and at the same time learning to do it with Python. First: the book delivers both, an overview over the basic techniques using for image processing, enhancement and manipulation; and a lot of code blocks to do this. BUT: it's probably not worth spending money on that book. Rather find relevant code in the internet, and most probably even better code examples and by far better documented and explained. This book in most parts is no more than a printout of collected Python code. And even not the best one, using partly deprecated functions. Moreover, the code blocks (delivered in jupyter notebooks) are inconsistently written, so some errors have to be found and corrected by the user (as an excersise?). Most of all, the code is very very poorly explained and commented, the author leaves it to the reader to find out what is going on. So for the more complicated tasks / programming examples the marooned reader may decide by himself if it's worth the effort to understand the idea of the code or to skip it. But the critics is not the bad and poorly commented code but the sparse and missing explanations of what is done for image processing, and why. Presenting a technique (a filter, a function, ...) by showing just an example is in no way an explanation of how image processing should be done, or even what the tool itself really does. Besides the general explanation and discussion (! there are a lot of sentences "... as will be discussed in a later section", but there simply is no discussion) I missed detailed explanations of the code - e.g. why the parameters where chosen as they were implemented in the code, what the purpose and effect of these parameters is, some mathematical background, and I absolutely missed the discussion of when the presented tool should be used outsided the classroom. Instead, the author leaves it to the reader to find out which tool fits to her own usecase and how to tune the parameters in a useful way. That's not a textbook to learn and understand the basics and make the reader ready to apply the newly gained knowlegde to the real world. All in all I got the impression of a sloppy collection of sometimes confusing, not stringent Python code with almost no code explanations. Poorly edited text connects the code blocks with meaningless comments. Besides having chapters and chapter numbers the text is completely unstructured and text blocks are not always ordered in a logical way. Poor review, but eventually a nice and well done layout makes the book nice to look at, at least (that would be worth two stars). Third star is just a half one for a quite comprehensive collection of Python code for image processing, that at least can give the reader some starting point to look for real explanations and useful disucssions in the internet.

The whole book was supposed to be colorful as it is an Image processing book. Instead, it's like the whole book is just photo copied and even the page quality is really bad