## Abstract Finding the point in time at which the wind pattern changes its direction is an important problem with a broad scope of application in atmospheric boundary layer modelling. In many cases such a change of pattern can be extracted using subjective methods, which involves a subjective post
An automatic rotation invariant recognition technique for colour objects and patterns
β Scribed by D.P. Mital; W.L. Goh
- Publisher
- Elsevier Science
- Year
- 1993
- Weight
- 698 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0745-7138
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β¦ Synopsis
A simple, very reliable and effective technique has been proposed for recognition of colour objects and patterns. The technique is invariant under translation, scaling and rotation, and is very useful for real-time industrial applications. The colour objects are recognized on the basis that they must satisfy both the colour and shape requirements, orientation and alignment are not critical at all. The features of the object are extracted and processed with Fourier transformation. The transformed image, together with a mapping from Cartisian Plane to the Logarithmic Plane provides a suitable transformation which removes translation, scaling and rotational dependencies. The mapped image is finally processed by using Laplacian-of-the-Gaussian filter and Log-Polar mapping. No reference points are required for processing and the image can be placed on any colour background.
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