Titlebook: Digital Image Processing; Concepts, Algorithms Bernd J?hne Book 19932nd edition Springer-Verlag Berlin Heidelberg 1993 Bildfolgen.Mustererk

Heterodoxy

Michael Jüttner,Sébastien Ferreira-CercaWhen objects are detected with suitable operators and their shape is described (see chapter 11), image processing has reached its goal for some applications. For other applications, further tasks remain to be solved. In this introduction we explore several examples which illustrate how the image processing tasks depend on the questions we pose.

抗原

Rejuvenate

挑剔小責(zé)

遠(yuǎn)地點(diǎn)

沉積物

Image Formation and Digitization,ages requires a good understanding of the image formation process. Only with a profound knowledge of all the steps involved in image acquisition, is it possible to interpret the contents of an image correctly. The steps necessary for an object in the three-dimensional world to become a digital image

拋物線

Space and Wave Number Domain,and digitization. Throughout the whole discussion in the last chapter we used the continuous Fourier transform. Proceeding now to discrete imagery, the question arises whether there is a discrete analogue to the continuous Fourier transform. Such a transformation would allow us to decompose a discre

自然環(huán)境

Pixels,essing. The simplest processing is to handle these pixels as individual objects or measuring points. This approach enables us to regard image formation as a measuring process which is corrupted by noise and systematic errors. Thus we learn to handle image data as statistical quantities. As long as w

使害羞

PATRI

Mean and Edges,termination of a correct mean value also includes the suppression of distortions in the gray values caused by sensor noise or transmission errors. Changes in the gray value mean, in the simplest case, the edges of objects. Thus . and . are complementary operations. While smoothing gives adequate ave