4 eBooks tagged "Image and with"
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Posted: January 31st, 2008, 10:07pm CET
Self-contained text covering practical image processing methods and theory for image texture analysis.
Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, medicine and the geo-sciences. In biological vision, texture is an important cue allowing humans to discriminate objects. This is because the brain is able to decipher important variations in data at scales smaller than those of the viewed objects. In order to deal with texture in digital data, many techniques have been developed by image processing researchers.
With a wholly practical approach and many worked examples, Image Processing: Dealing with Texture is a comprehensive guide to these techniques, including chapters on mathematical morphology, fractals, Markov random fields, Gabor functions and wavelets. Structured around a series of questions and answers, enabling readers to easily locate information on specific problems, this book also:
* provides detailed descriptions of methods used to analyse binary as well as grey texture images
* presents information on two levels: an easy-to-follow narrative explaining the basics, and an advanced, in-depth study of mathematical theorems and concepts
* looks at 'good' and 'bad' image processing practice, with wrongly designed algorithms illustrating 'what not to do'
* includes an accompanying website, setting out all algorithms discussed within the text.
An ideal self-teachin Read more...
Posted: January 31st, 2008, 10:07pm CET
Self-contained text covering practical image processing methods and theory for image texture analysis.
Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, medicine and the geo-sciences. In biological vision, texture is an important cue allowing humans to discriminate objects. This is because the brain is able to decipher important variations in data at scales smaller than those of the viewed objects. In order to deal with texture in digital data, many techniques have been developed by image processing researchers.
With a wholly practical approach and many worked examples, Image Processing: Dealing with Texture is a comprehensive guide to these techniques, including chapters on mathematical morphology, fractals, Markov random fields, Gabor functions and wavelets. Structured around a series of questions and answers, enabling readers to easily locate information on specific problems, this book also:
* provides detailed descriptions of methods used to analyse binary as well as grey texture images
* presents information on two levels: an easy-to-follow narrative explaining the basics, and an advanced, in-depth study of mathematical theorems and concepts
* looks at 'good' and 'bad' image processing practice, with wrongly designed algorithms illustrating 'what not to do'
* includes an accompanying website, setting out all algorithms discussed within the text.
An ideal self-teachin Read more...
Posted: September 27th, 2007, 7:42pm CEST by E-Books
This book brings together everything you need to achieve superior results with PC-based image processing and analysis. Expert Thomas Klinger combines a highly accessible overview of the field's key concepts, tools, and techniques; the first expert introduction to NI's breakthrough IMAQ Vision software; and several start-to-finish application case studies. You also get an extensive library of code and image samples, as well as a complete trial version of IMAQ Vision for Windows®. Coverage includes:
* Defining what to measure and how to measure it
* Acquiring images: working with CCDs, cameras, frame grabber cards, and leading medical image sources, including ultrasound, CT, and MRI
* Distributing images: compression techniques, image format standards, and DICOM medical imaging
* Processing images: gray-scale operations, spatial image filtering, frequency filtering,
* and morphology functions
* Analyzing images: pixel value and quantitative analyses, shape and pattern matching, bar codes, and more
With 300+ figures and 50+ exercises-all listed up front for easy access-this is the definitive image processing tutorial for every professional.
The accompanying CD-ROM contains IMAQ Vision multimedia demonstration software, plus an evaluation version of NI's Vision Builder for Automated Inspection evaluation software for Windows 98/NT/Me/2000/XP. It also contains application examples, color images, and code examples-including several open source, platform-independent VIs.
Download Here
Posted: January 25th, 2008, 7:59pm CET
Real World Image Sharpening with Adobe Photoshop CS2
Peachpit Press; 1 edition | ISBN: 0321449916 | 304 pages | July 28, 2006 | CHM | 30 Mb
It's a sad but undeniable fact of life: Whether you scan, shoot, or capture, the process of digitizing images introduces softness, and to get great-looking results, you'll need to sharpen the great majority of digital images. The softness introduced during digitizing results from the very nature of the digitizing process. To represent images digitally, we must transform them from continuous gradations of tone and color to points on a grid. In the process details gets "averaged" into the pixels, softening the overall appearance. For some types of printed output, further softness is introduced when the image pixels are converted to dots of ink or toner. As a result, just about every digital image requires sharpening. But another sad fact of digital photography is that most images are sharpened badly--either not enough, too much, or using the wrong methods--creating chunky details and harsh edges. Author, Bruce Fraser is here to teach readers all they need to know about sharpening including when to use it, why it's needed, how to use the camera's features, how to recognize an image needs sharpening, how much to use, what's bad sharpening and how to fix over sharpening.
