版本6和7间的区别
于2007-03-03 23:02:14修订的的版本6
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于2007-03-03 23:19:46修订的的版本7
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删除的内容标记成这样。 加入的内容标记成这样。
行号 11: 行号 11:
== 像素的值表示什么意义 == == 图像上的的值代表什么 ==
Unlike humans, who are limited to the visual band of the electromagnetic(EM) spectrum, imaging machines cover almost the entire EM spectrum, ranging from gamma to radio waves. They can operate also on images generated by sources that humans are not accustomed to associating with images. These include ultrasound, electron microscopy, and computer-generated images. Thus, digital image processing encompasses a wide and varied field of applications.
  1. 什么是图像?
  2. 什么是数字图像?
  3. 一个数字图像处理系统的组成和处理过程是怎样的?
  4. 数字图像处理可以在哪些领域应用?
  5. 进行数字图像处理需要什么工具?

什么是图像

  • An image may be defined as a two-dimensional function, f(x, y), where x and y are spatial 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.

图像上的的值代表什么

Unlike humans, who are limited to the visual band of the electromagnetic(EM) spectrum, imaging machines cover almost the entire EM spectrum, ranging from gamma to radio waves. They can operate also on images generated by sources that humans are not accustomed to associating with images. These include ultrasound, electron microscopy, and computer-generated images. Thus, digital image processing encompasses a wide and varied field of applications.

图像处理分为哪些层次

  • Low-level processes involve primitive operations such as image preprocessing to reduce noise, contrast enhancement, and image sharpening. A low-level process is characterized by the fact that both its inputs and outputs are images. Mid-level processes on images involve tasks such as segmentation (partitioning an image into regions or objects), description of those objects to reduce them to a form suitable for computer processing, and classification (recognition) of individual objects. A mid-level process is characterized by the fact that its inputs generally are images, but its outputs are attributes extracted from those images(e.g., edges, contours, and the identity of individual objects). High-level processing involves "making sense" of an ensemble of recognized objects, as in image analysis, and at the far end of the continuum, performing the cognitive functions normally associated with human vision.

Matlab工具如何使用

什么是数字图像处理 (2008-02-24 19:31:49由czk编辑)

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