By J.N.P. Hume, R.C. Holt
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Extra info for Structured programming using PL/1 and SP/k
3 Image Capture The processing of still photos or scientiﬁc images can be done quite effectively using scanned image or data from digital cameras. The availability of digital image data has increased many-fold over the past decade, and it is no longer unusual to ﬁnd a digital camera, a scanner, and a video camera in a typical household or small college laboratory. Other kinds of data and other devices can be quite valuable sources of images for a vision system, key among these the webcam. These are digital cameras, almost always USB powered, having image sizes of 640x480 or larger.
Depth An integer specifying the number of bits per pixel. origin The origin of the coordinate system. An integer: 0=upper left, 1=lower left. widthStep An integer specifying, in bytes, the size of one row of the image. imageSize An integer specifying, in bytes, the size of the image ( = widthStep * height). imageDataOrigin A pointer to the origin (root, base) of the image. roi A pointer to a structure that deﬁnes a region of interest within this image that is being processed. When an image is created or read in from a ﬁle, an instance of an IplImage is created for it, and the appropriate ﬁelds are given values.
8: Standard test images for edge-detector evaluation. There are three step edges and two stairs, plus a real sampled image; all have been subjected to normally distributed zero mean noise with known standard deviations of 3, 9, and 18. Chapter 2 ■ Edge-Detection Techniques In addition, it would be nice to have a numerical measure of how successful an edge-detection scheme is in an absolute sense. There is no such measure in general, but something usable can be constructed by thinking about the ways in which an edge detector can fail or be wrong.
Structured programming using PL/1 and SP/k by J.N.P. Hume, R.C. Holt