Chaotic and fractal dynamics: introduction for applied by Francis C. Moon

By Francis C. Moon

A revision of a pro textual content at the phenomena of chaotic vibrations in fluids and solids. significant adjustments replicate the newest advancements during this fast-moving subject, the advent of difficulties to each bankruptcy, extra arithmetic and functions, extra insurance of fractals, quite a few desktop and actual experiments. comprises 8 pages of 4-color photos.

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M to produce the images in Fig. 20. By way of a second sample of image displays, consider displaying three different images in three different ways. The method used to produce Fig. 8. Fig. 21 Three image displays (cell, spine, and onions) % Display m u l t i p l e images % what ’ s h a p p e n i n g ? tif’ ) ; % c h o o s e . tif’ ) ; % c h o o s e 2 nd . png’ ) ; % c h o o s e . m to produce the images in Fig. 21. 10 Digital Image Formats There are a number of important, commonly available digital image formats, briefly summarised as follows.

13 To see the colour channel values for a pixel, try the following experiment. % Experiment with a p i x e l i n a c o l o u r image % % What ’ s h a p p e n i n g ? m to produce the image in Fig. 28. Fig. 2) K Compare and contrast the rgb and hsv colour models. Hint: Check Wikipedia introductions and Matlab documentation for these two colour models. png and your own choice of a colour image). 13 Colour Lookup Table 37 Fig. 29 Sample imtool hsv image display g = imread( pepper s. png image, move the cursor over the image to see the real values that correspond to each hsv colour.

For example, try impr o f ile(im, [r 1, c1], [r 2, c2], Color , r , LineW idth , 3); % red line Notice that the set of pixels in a line segment is an example of a simple convex set. In general, a set of points is a convex set, provided the straight line segment connecting 40 1 Basics Leading to Machine Vision Fig. 32 Sample line segment intensities each pair of points in the set is contained in the set. A line segment is an example of one-sided convex polygon. The combination of the line and improfile functions gives a glimpse of what is known as the texture of an image.

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