What do they all mean – the lascivious ape, autophagic dragons, pot-bellied heads, harp-playing asses, arse-kissing priests and somersaulting jongleurs to be found protruding from the edges of medieval buildings and in the margins of illuminated manuscripts? Michael Camille explores that riotous realm of marginal art, so often explained away as mere decoration or zany doodles, where resistance to social constraints flourished. Medieval image-makers focused attention on the underside of society, the excluded and the ejected. Peasants, servants, prostitutes and beggars all found their place, along with knights and clerics, engaged in impudent antics in the margins of prayer-books or, as gargoyles, on the outsides of churches. Camille brings us to an understanding of how marginality functioned in medieval culture and shows us just how scandalous, subversive, and amazing the art of the time could be.

It is here at the edge--of the monastery, the cathedral, the court, the city--that medieval artists found room for experimentation, for glossing, parodying, modernizing, and questioning cultural authority without ever undermining it. Viewing marginalia in their proper social and cultural context, Camille reveals scandalous and subversive aspects, as well as apparently paradoxical stabilizing functions. He rejects oppositions such as high and low, profane and sacred, and instead projects a vision of medieval culture in which marginal resistance, inversion, and transgression play an integral, even necessary, role.

Legendary nature photographer Art Wolfe presents an intimate, behind-the-scenes guide to the experiences, decisions, and methods that helped him capture images from some of the most exciting locations across the globe. In Photographs from the Edge, you'll discover the secrets behind forty years of awe-inspiring photography from around the world. Wolfe takes you from the mountains of the Himalayas to the sandy shores of Mnemba Island, with stops in the crowded streets of India and the alkali lakes of Africa along the way. You’ll learn the equipment, settings, and creative choices behind each photograph. From endangered species to cultural celebrations to natural wonders, Wolfe brings each subject to life through his stunning photography and the stories he shares in this one-of-a-kind photo safari.

Camille considers marginalia--in the cathedral, the court, the monastery--in direct and complex relation to the whole work. Ranging through the culture of the Middle Ages, he finds in the margins a distorted yet apt reflection of medieval conventions. It is here that medieval artists found room for experimentation, for parodying, modernizing, and questioning cultural authority without ever undermining it.

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

In the dynamic landscape of image processing, the pursuit of clarity and precision is unceasing. This book embarks on an exhaustive exploration of image enhancement, focusing on three pivotal domains: denoising, edge detection, and segmentation. These areas collectively form the cornerstone of image refinement, essential in applications ranging from medical diagnostics to artistic expression. The journey commences with a meticulous examination of Denoising Utilities, a multifaceted toolkit tailored for noise reduction. Techniques like wavelet denoising and adaptive filtering are dissected, providing readers with an extensive arsenal for image restoration. The incorporation of precise metrics ensures not only visual improvement but also quantifiable measures of enhancement. Edge Detection Utilities presents an array of algorithms designed to unveil crucial features within images. From the Sobel operator to the Gabor filter, each algorithm brings a unique perspective to the forefront. Beyond mere theoretical exposition, this section offers modified plotting utilities and seamless integration into the Main Program, enabling readers to wield these algorithms effectively. Segmentation Utilities usher readers into the realm of image partitioning, a process of dividing images into coherent regions. Techniques like Multi-Level Thresholding, K-Means Clustering, Watershed Algorithm, and Markov Random Fields (MRF) are explored. The inclusion of user-friendly forms and thoughtfully designed plotting utilities empowers readers to extract invaluable information from complex images. At the heart of this journey lies the Main Form, serving as the epicenter of operations. Its intuitive interface and seamless navigation pave the way for users to access a myriad of utilities, creating a cohesive and immersive experience. This form serves as the gateway to a world of image refinement and analysis. A critical component of image processing lies in visualizing the transformation. Plotting Utilities have been meticulously designed to offer dynamic visual representations of denoised, edge-detected, and segmented images. These tools bridge the gap between theoretical understanding and practical application. Understanding the effectiveness of denoising techniques is imperative. Wavelet Denoising Metrics provide a rigorous framework for quantifying the improvement achieved. These metrics offer insights into the impact of denoising on image quality, ensuring a scientifically grounded approach to enhancement. The efficacy of reaction-diffusion denoising techniques is assessed through specialized metrics. These metrics offer a quantitative assessment of the denoising process, enabling users to fine-tune parameters for optimal results. This section bridges theory with application, ensuring meaningful enhancements. Anisotropic diffusion denoising is evaluated using purpose-built metrics. These metrics provide a systematic evaluation of the denoising process, enabling users to make informed decisions regarding parameter selection. This section empowers users with the knowledge to achieve precise enhancements. The impact of spectral method denoising is quantified through dedicated metrics. These metrics offer a comprehensive assessment of the denoising process, enabling users to refine parameters for maximum effectiveness. This section ensures that enhancements are not only visually pleasing but also scientifically validated. This book, a compendium of practical knowledge and hands-on expertise, serves as a guide for both beginners and seasoned practitioners in the field of image processing. It aims to equip readers with not only an understanding of the intricacies of image enhancement but also the practical skills to wield this knowledge effectively. Through this journey, images cease to be mere representations; they become a source of profound insights, revealing hidden details and empowering users to extract meaningful information. So, let's embark on this illuminating voyage, where theory meets application, and images transform from pixels to a source of enlightenment.

The human ability to recognize objects on various backgrounds is amazing. Many times, industrial image processing tried to imitate this ability by its own techniques. This book discusses the recognition of defects on free-form edges and - homogeneous surfaces. My many years of experience has shown that such a task can be solved e?ciently only under particular conditions. Inevitably, the following questions must be answered: How did the defect come about? How and why is a person able to recognize a speci?c defect? In short, one needs an analysis of the process of defect creation as well as an analysis of its detection. As soon as the principle of these processes is understood, the processes can be described mathematically on the basis of an appropriate physical model and can then be captured in an algorithm for defect detection. This approach can be described as “image processing from a physicist’s perspective”. I have successfully used this approach in the development of several industrial image processingsystemsandimprovedupontheminthecourseoftime.Iwouldlike to present the achieved results in a hands-on book on the basis of edge-based algorithms for defect detection on edges and surfaces. I would like to thank all who have supported me in writing this book.