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1、xxx学院信息工程学院姓名：学号：专业：电气工程及其自动化Digital Image Processing and Edge DetectionDigital Image ProcessingInterest in digital image processing methods stems from two principal applica- tion areas: improvement of pictorial information for human interpretation; and processing of image data
2、 for storage, transmission, and representation forau- tonomous machine perception.An image may be defined as a two,dimensional function, f(x, y), where x and y are spatial (plane) coordinates, and the amplitude of f at any pair of coordinates(x, y) is called the intensity or
3、graylevel of the image at that point. When x, y, and the amplitudevalues of f 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 of a digital computer. Note that a digital image
4、is composed of a 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 of a digital image.Vision is the most ad
5、vanced of our senses, so it is not surprising that images play the single most important rolein human perception. However, unlike humans, who are limited to the visual band of the electromagnetic (EM) spec- trum, imaging machines cover almost the entire EM spectrum, ranging
6、 from gamma to radio waves. They can operate on images generated by sources that humans are not accustomed to associating with images. Theseinclude ultra- sound, electron microscopy, and computergeneratedimages. Thus, digital image processing encompasses a wide and varied fie
7、ld of applications.There is no general agreement among authors regarding where image processing stops and other related areas, such as image analysis and computer vi- sion, start. Sometimes a distinction is made by defining image processing as a discipline in which both the i
8、nput
