数字图像处理与边缘检测

数字图像处理与边缘检测(中文8900字,英文8400字)
数字图像处理
数字图像处理方法的研究源于两个主要应用领域：其一是为了便于人们分析而对图像信息进行改进：其二是为使机器自动理解而对图像数据进行存储、传输及显示。
一幅图像可定义为一个二维函数f(x,y)，这里x和y是空间坐标，而在任何一对空间坐标（x,y）上的幅值f 称为该点图像的强度或灰度。当x,y和幅值f为有限的、离散的数值时，称该图像为数字图像。数字图像处理是指借用数字计算机处理数字图像，值得提及的是数字图像是由有限的元素组成的，每一个元素都有一个特定的位置和幅值，这些元素称为图像元素、画面元素或像素。像素是广泛用于表示数字图像元素的词汇。
Digital Image Processing and Edge Detection
Digital Image Processing
Interest in digital image processing methods  stems from two principal  applica- tion areas: improvement of pictorial information for human interpretation;  and processing  of image data for storage, transmission, and representation for au- 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 gray level of the image at that point. When x, y, and the amplitude  values 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 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.