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Rating: 
Summary: Not for beginners
Review: I am afraid that this book is not for beginners who want to have a clear mind of the level set method. You will have to go to the library quite often to dig out all the references the author mentioned. I would say this book is for experienced researchers only.
Rating: 
Summary: Not a self contained book!
Review: I bought this book with the intent of understanding the level set method AND be able to implement it in code. The book fails on the later. He gives you some basic formulas/algorithms to start with, but they are not good enough for most problems. You need to get the references (and the references of those references) to obtain the actual algorithms people use to implement the level set method.The first six chapters are good for giving you a nice qualitative understanding of the method and the issues of implementing the method. And the rest of the book claims to show you the more advanced techniques, but whenever the nitty gritty details are needed, he refers you to the references. My advice: just get his references. If you are at a university, then you probably have free access to the online journals that contain his (and others) research articles. In fact, this book is basically a copy-paste of those articles! Literally!
Rating: 
Summary: Good introduction to level set methods
Review: I use these methods in the context of image analysis, for image segmentation essentially. The book is an inescapable introduction by one of the main inventors of these methods. It is easy to read and relatively complete. Be sure to get the second edition. The only slight problems are the remaining typos. There are quite a few, for a second edition, and they might throw off a beginner. You will need to read some introduction text on finite differences methods at least. The chapter in Numerical Recipes is enough.
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