Two-dimensional object recognition using a two-dimensional polar transform
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Cited by (26)
The spirals of the Slope Chain Code
2019, Pattern RecognitionCitation Excerpt :The chain elements produce finite alphabets which allow us to use grammatical techniques for shape classification. Most chain code methods presented in literature [2,10–14] are based on the representation of contour shapes by means of constant straight-line segments at different previous-defined directions. In 2D domain, there are methods to represent 2D curves via chain coding for example in refs. [2,10,12–15].
A chain code for representing high definition contour shapes
2019, Journal of Visual Communication and Image RepresentationCitation Excerpt :Thus, chain code techniques may be a useful tool for representing contour shapes in computer vision and pattern recognition. Most chain code methods presented in literature [1–6] are based on the representation of contour shapes by means of constant straight-line segments at different previous-defined directions. The above-mentioned methods produce low definition contour shapes.
A measure of tortuosity based on chain coding
2013, Pattern RecognitionCitation Excerpt :The result is a chain for every curve, where each element of the chain represents the slope change at a given point. The SCC is similar to other chain codes [7,12,13] since it uses numerical sequences, but has some important differences from them. The main characteristics of the SCC are: independence of translation, rotation, and optionally, of scaling; it does not use a grid; the straight-line segment size (l) is always the same for the whole shape; and the range of slope changes is unlimited (goes continuously from −1 to 1).
Efficiency of chain codes to represent binary objects
2007, Pattern RecognitionCitation Excerpt :Classical methods for processing chains are referred to [4]. Other interesting coding schemes that are related to chain code are available in Refs. [5–9]. The vertex chain code (VCC) was presented in 1999 [10].
Visibility concepts in orthogonal polygon recognition
2001, Pattern Recognition LettersShape matching and recognition using a physically based object model
2001, Computers and Graphics (Pergamon)Citation Excerpt :In [13–15], the boundary of a region is represented by a sequence of numbers and the shape matching is accomplished by string matching. Other shape-matching methods involve finding the polar transform of the shape sample [16] or calculating the distances of the feature points from the centroid [17], etc. In [18], the shape matching is accomplished by graph matching for multilevel structural descriptions of shape samples.