Image And Representation
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DIGITAL IMAGE REPRESENTATION AND IMAGE SEGMENTATION
Author: Mr. Sumit R. Vaidya
language: en
Publisher: Xoffencerpublication
Release Date: 2023-03-16
The human eye has the capability of seeing individual rays of light, but it is the human brain that has the capability of perceiving individuals, automobiles, buildings, and everything else that constitutes the world. A camera may be able to pick up on separate beams of light, but a computer has the ability to differentiate between each individual color dot. The frustrating disparity that exists between the visual perceptions of humans and computers has been a source of ongoing annoyance for those who work in the field of computer vision for a significant amount of time. Those who work in this field have been forced to deal with this issue for a significant amount of time. How is it that something as simple as a collection of dots of varying colors can become something as complex as a steaming mug of coffee? How are we going to teach computers to identify and organize all of the many sorts of things that they come across? It is immediately obvious that a single colored dot transmits relatively little information about the broader entity to which it belongs when one gives this subject any consideration at all. This understanding comes to one very immediately after beginning to reflect on the topic in question. It is not possible to identify a cheetah based solely on a single black dot; rather, a larger section of the visual field is required in order to recognize the distinct recurrent patches of black on golden fur that are characteristic of this species. If you have a larger visual field, you will be able to recognize a cheetah. This results in the difficult problem of choosing which feature of a picture has to be focused on in order to guarantee that an item can be recognized correctly. The answer to this question is obviously the pixels that make up the item; it should go without saying that this is the case. Unhappily, things may take on a confusing number of forms, and even a single item, like our cheetah, can significantly alter the way it looks from different viewpoints. This is one of the things that makes the world a fascinating and unpredictable place. This is only one example of the numerous terrible things that happen in the real world.
Image Representation and Processing
Author: V.V. Alexandrov
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Recently, much attention has been paid to image processing with multiresolution and hierarchical structures such as pyramids and trees. This volume deals with recursive pyramids, which combine the advantages of available multiresolution structures and which are convenient both for global and local image processing. Recursive pyramids are based on regular hierarchical (recursive) structures containing data on image fragments of different sizes. Such an image representation technique enables the effective manipulation of pictorial information as well as the development of special hardware or data structures. The major aspects of this book are two original mathematical models of greyscale and binary images represented by recursive structures. Image compression, transmission and processing are discussed using these models. A number of applications are presented, including optical character recognition, expert systems and special computer architecture for pictorial data processing. The majority of results are presented as algorithms applicable to discrete information fields of arbitrary dimensions (e.g. 2-D or 3-D images). The book is divided into six chapters: Chapter 1 provides a brief introduction. Chapter 2 then deals with recursive structures and their properties. Chapter 3 introduces pyramidal image models. Image coding and the progressive transmission of images with gradual refinement are discussed in Chapter 4. Chapters 5 and 6 are devoted to image processing with pyramidal-recursive structures and applications. The volume concludes with a comprehensive bibliography. For applied mathematicians and computer scientists whose work involves computer vision, information theory and other aspects of image representation techniques.
Image and Representation
Following on from the success of the first edition, this new text offers a revised andupdated introduction to the central concepts in media, culture and communication studies: language and representation. Remainingaccessible and lively, the new edition analyses recent devlopments in new media, withupdated case study material.