06-10-2010, 10:46 AM
DIGITAL IMAGE PROCESSING.pptx (Size: 41.13 KB / Downloads: 168)
DIGITAL IMAGE PROCESSING
Abstract:
Over the past dozen years forensic and medical applications of technology first developed to record and transmit pictures from outer space have changed the way we see things here on earth, including Old English manuscripts. With their talents combined, an electronic camera designed for use with documents and a digital computer can now frequently enhance the legibility of formerly obscure or even invisible texts. The computer first converts the analogue image, in this case a videotape, to a digital image by dividing it into a microscopic grid and numbering each part by its relative brightness. Specific image processing programs can then radically improve the contrast, for example by stretching the range of brightness throughout the grid from black to white, emphasizing edges, and suppressing random background noise that comes from the equipment rather than the document. Applied to some of the most illegible passages in the Beowulf manuscript, this new technology indeed shows us some things we had not seen before and forces us to reconsider some established readings.
Introduction to Digital Image Processing:
¢ Vision allows humans to perceive and understand the world surrounding us.
¢ Computer vision aims to duplicate the effect of human vision by electronically perceiving and understanding an image.
¢ Giving computers the ability to see is not an easy task - we live in a three dimensional (3D) world, and when computers try to analyze objects in 3D space, available visual sensors (e.g., TV cameras) usually give two dimensional (2D) images, and this projection to a lower number of dimensions incurs an enormous loss of information.
¢ In order to simplify the task of computer vision understanding, two levels are usually distinguished; low-level image processing and high level image understanding.
¢ Usually very little knowledge about the content of images
¢ High level processing is based on knowledge, goals, and plans of how to achieve those goals. Artificial intelligence (AI) methods are used in many cases. High-level computer vision tries to imitate human cognition and the ability to make decisions according to the information contained in the image.
¢ This course deals almost exclusively with low-level image processing, high level in which is a continuation of this course.
¢ Age processing is discussed in the course Image Analysis and Understanding, which is a continuation of this course
Reference: https://seminarproject.net/Thread-digita...z11YJyBaWw