At first sight, the concept of web personalization looks deceivingly simple. A web personalization system is a software component that collects information on visitors to a web site and leverages this knowledge to deliver them the right content, tailoring presentation to the user's needs. All over the world, web designers and web content managers rely on web personalization solutions to improve the effectiveness and - ability of their web-based applications. Still, the scientific foundation of web personalization remains a controversial issue. Practitioners know very well that when properly implemented, personalization del- ers a much better user experience; but when it is poorly implemented, personalization may backfire and even distract the user's attention away from some useful (and co- ly-to-develop) enriched content. In other words, tailoring content, and varying it routinely, may make a site more attractive; but an unstable site look can have a negative impact on the overall m- sage. Everybody seems to agree that this is a real danger; but there are specific qu- tions that are much harder to answer convincingly.

At first sight, the concept of web personalization looks deceivingly simple. A web personalization system is a software component that collects information on visitors to a web site and leverages this knowledge to deliver them the right content, tailoring presentation to the user's needs. All over the world, web designers and web content managers rely on web personalization solutions to improve the effectiveness and - ability of their web-based applications. Still, the scientific foundation of web personalization remains a controversial issue. Practitioners know very well that when properly implemented, personalization del- ers a much better user experience; but when it is poorly implemented, personalization may backfire and even distract the user's attention away from some useful (and co- ly-to-develop) enriched content. In other words, tailoring content, and varying it routinely, may make a site more attractive; but an unstable site look can have a negative impact on the overall m- sage. Everybody seems to agree that this is a real danger; but there are specific qu- tions that are much harder to answer convincingly.

This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medium level such as thresholding, enhancement, edge detection, morphological filters, and segmentation and shows how fuzzy logic approaches apply. The book is divided into two parts. The first includes vagueness and ambiguity in digital images, fuzzy image processing, fuzzy rule based systems, and fuzzy clustering. The second part includes applications to image processing, image thresholding, color contrast enhancement, edge detection, morphological analysis, and image segmentation. Throughout, they describe image processing algorithms based on fuzzy logic under methodological aspects in addition to applicative aspects. Implementations in java are provided for the various applications.