Focusing on fractal geometry and surface modeling techniques, the author presents a thorough and approachable overview of the field. By addressing real-world applications, the book equips researchers with essential tools for data measurement and interpretation. This exploration aims to inspire further investigation into the reasons behind nature's preference for fractal shapes, potentially leading to deeper insights into the underlying patterns that define our world.
Computer-based image analysis systems, particularly for microscope images, are becoming increasingly prevalent due to advancements in technology. This book focuses on the various image analysis operations available, emphasizing the importance of understanding their advantages and limitations for successful application. It caters to users with minimal programming knowledge and assumes little mathematical background, though familiarity with statistical tests is beneficial. The text encourages readers to seek supplementary resources in statistics, microscopy, and specimen preparation for enhanced comprehension.
The book delves into geometric probability and its applications in stereology, emphasizing statistical concepts such as accuracy, precision, and various distributions. It covers different image types, manual measurement techniques, and size distributions, exploring both theoretical and practical aspects. Additionally, it includes programming examples tailored to various geometries, illustrating measurement methods. Contributions from several individuals highlight the collaborative effort behind the work, reflecting a blend of creativity and technical rigor in advancing stereological analysis.
This handbook presents an extensive collection of image processing tools, and explains the methods provided in packaged software. The author outlines frequency space methods with mathematical presentation and spatial domain processing. The CD-ROM contains images and Photoshop-compatible plug-ins.