文档介绍：Digital Image Processing and Edge Detection Digital Image Processing Interest in digital image processing methods stems from two principal application areas: improvement of pictorial information for human interpretation; and processing of image data for storage, transmission, and representation for autonomous machine perception. An image may be defined asa two-dimensional function, f(x,y), where x and y are spatial (plane) coordinates, and the amplitude off at any pair of coordinates (x, y) is called the intensity or gray level of the image at that point. When x, y, and the amplitude values off are all finite, discrete quantities, we call the image a digital image. The field of digital image processing refers to processing digital images by means ofa puter. Note that a digital image posed ofa finite number of elements, each of which has a particular location and value. These elements are referred to as picture elements, image elements, pels, and pixels. Pixel is the term most widely used to denote the elements ofa digital image. Vision is the most advanced ofour senses, so it isnot surprising that images play the single most important role in human perception. However, unlike humans, who are limited to the visual band of the ic (EM) spectrum, imaging machines cover almost the entire EM spectrum, ranging from gamma to radio waves. They can operate on images generated by sources that humans are not accustomed to associating with images. These include ultrasound, electron microscopy, puter generated images. Thus, digital image processing passes a wide and varied field of applications. There isno general agreement among authors regarding where image processing stops and other related areas, such as image analysis puter vision, start. Sometimes a distinction is made by defining image processing asa discipline in which both the input and output ofa process are images. We believe this tobea limiting and somewhat artificial boundary. For example, under this definition,even