Digital Image Processing: Concepts, Algorithms, and by Professor Dr. Bernd Jähne (auth.)

By Professor Dr. Bernd Jähne (auth.)

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MOPS: million operations per second. 3 Pentium 166 1(3) 167 2(3) 83 PentiumPro 200 1(3) 200* 2(5)* 100* Performance increase 3600 2900 *Floating-point multiplication and addition can be executed in parallel Within the short history of microprocessors and personal computers, computing power has increased tremendously. 4 illustrate by the example of the Intel X86 processor family that within the time frame from 1978 to 1996 the clock rate has increased by a factor of almost 50. The speed of elementary operations such as integer addition and multiplication or floating-point addition and multiplication has increased even more.

1: Representation of digital images by arrays of discrete points on a rectangular grid: a 2-D image, b 3-D image. arrays of points. Apoint on the 2-D grid is called a pixel or pel. Both words are abbreviations of the word picture element. Apixel represents the irradiance at the corresponding grid position. In the simplest case, the pixels are located on a rectangular grid. The position of the pixel is given in the common notation for matrices. The first index, m, denotes the position of the row, the second, n, the position of the column (Fig.

11), and motion determination by filter techniques (Chap. 13). 18 CHAPTER 1. 6 Components of an Image Processing System This section briefly outlines the capabilities of modern image processing systems. A general purpose image acquisition and processing system typically consists of four essential components: 1. An image acquisition system. In the simplest case, this could be a CCD camera, a flatbed scanner, or a video recorder. 2. A device known as a frame grabber to convert the electrical signal (normally an analog video signal) of the image acquisition system into a digital image that can be stored.

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