Abstract
This chapter introduces various ways to visualize pixel intensity distributions. Also included here are pointers to sources of generating points useful in image tessellations and triangulations. In other words, image structure visualizations carries with it tacit insights about image geometry.
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- 1.
Instead of clabel, try a combination of set and get, e.g.,
$$ \gg set(h,'ShowText','on','TextStep', get(h,'LevelStep')) $$This approach to labelling contour lines will give control over the height labels that are displayed on the contour lines. For example, try \(get(h,'LevelStep')*2\) to inhibit the lower height labels.
- 2.
The shoe image in Fig. 3.17, showing refracted light from the windows overlooking on an upper staircase landing in building E2, EITC, U of Manitoba, was captured by Chido Uchime with a cell phone camera.
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Peters, J.F. (2017). Visualising Pixel Intensity Distributions. In: Foundations of Computer Vision. Intelligent Systems Reference Library, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-52483-2_3
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DOI: https://doi.org/10.1007/978-3-319-52483-2_3
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52481-8
Online ISBN: 978-3-319-52483-2
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