Rough Fuzzy Image Analysis

Stylish and attractive scrapbook pages are easy to put together with the help of this colorful and comprehensive guide to techniques. Learn to make the most of your collection of photographs by displaying them to effect in beautiful album pages and preserving the memories for years to come.

This easy manual details all the materials and equipment that a complete beginner will need to get started, as well as some of the `must have' buys that are guaranteed to add extra sparkle to album pages. There are plenty of creative suggestions for using ready-made printed background papers as well as making your own backgrounds by layering textured, pearlescent and opaque papers, creating tom and fancy edges, and making interesting mounts for your images. A section on design looks at colors and design looks at colors and design themes and how to put ideas together to make them work with your photographs.

With the background in place the decorative bit begins with a whole host of ideas for embellishing the pages and the photographs with motifs, stamps and stencils, using a wide array of craft techniques. Make your own embossed metal and sculpted clay shapes, or use beads, buttons, and hand- and machine-embroidered decorative details to add extra dimensions. Layer sheer fabrics, add paint glitter and sequins, and finish the design with the written details of the story in different styles, including stylized calligraphy. For those who like to work on the computer, information is provided on putting pages together digitally.

With plenty of completed album pages to look at in a whole range of styles, each featuring designs that embrace a range of popular themes, this comprehensive guide to scrapbooking is all you need to get started with an exciting new hobby.

Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, Rough Fuzzy Image Analysis: Foundations and Methodologies introduces the fundamentals and applciations in the state of the art of rough fuzzy image analysis.

In the first chapter, the distinguished editors explain how fuzzy, near, and rough sets provide the basis for the stages of pictorial pattern recognition: Image transformation, feature extraction, and classification. The text then discusses hybrid approaches that combine fuzzy sets and rough sets in image analysis, illustrates how to perform image analysis using only rough sets, and describes tolerance spaces and a perceptual systems approach to image analysis. It also presents a free, downloadable implementation of near sets using the Near Set Evaluation and Recognition (NEAR) system, which visualizes concepts from near set theory. In addition, the book covers an array of applications, particularly in medical imaging involving breast cancer diagnosis, laryngeal pathology diagnosis, and brain MR segmentation.

Edited by two leading researchers and with contributions from some of the best in the field, this volume fully reflects the diversity and richness of rough fuzzy image analysis. It deftly examines the underlying set theories as well as the diverse methods and applications.