By Luciano Da Fontoura Costa, Roberto Marcondes Cesar Jr.
ISBN-10: 0849334934
ISBN-13: 9780849334931
Advances fit research impression quite a lot of disciplines, from arithmetic and engineering to medication, archeology, and paintings. someone simply getting into the sphere, besides the fact that, may well locate the few latest books on form research too particular or complicated, and for college students drawn to the explicit challenge of form attractiveness and characterization, conventional books on laptop imaginative and prescient are too general.Shape research and type: idea and perform bargains an built-in and conceptual advent to this dynamic box and its myriad functions. starting with the elemental mathematical thoughts, it bargains with form research, from photo trap to development category, and provides a number of the so much complex and strong recommendations utilized in perform. The authors discover the correct facets of either form characterization and popularity, and provides designated consciousness to functional matters, reminiscent of guidance for implementation, validation, and assessment.Shape research and category presents a wealthy source for the computational characterization and class of common shapes, from characters to organic entities. either scholars and researchers can at once use its state of the art innovations and strategies to resolve their very own difficulties concerning the characterization and category of visible shapes.
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Extra info for Shape Analysis and Classification: Theory and Practice (Image Processing Series)
Sample text
Such nonpreserving techniques are nevertheless usually adopted as shape measures that are useful for shape characterization and classification, as discussed in Chapter 4. Indeed, both approaches, which have their advantages and shortcomings, are frequently applied to shape analysis problems. In addition, it should be observed that some techniques only allow partial reconstruction of the shape. A more fundamental criterion for characterizing shape representation techniques involves their classification as boundary-based and region-based.
A digital straight contour segment involving hundreds of points can be almost exactly represented in terms of its two extremities). Other examples of shape decompositions are those based on circle segments and 2D polygonal regions, the latter being applied in region-based techniques. Proceeding a step further, the syntactic approach to pattern recognition problems associates abstract symbols to each geometric primitive in such a way that each shape can be represented by a sequence of such symbols.
As a matter of fact, the Fourier transform is one of the most powerful and versatile transforms. Some other examples of important transforms are the wavelet, the Gabor and the Karhunen-Loève transform. It should be observed that invertible transforms could also be understood as means for representation of shape. 7). 15: Shape description by using its Fourier transform. Observe that the complete Fourier transform also includes phase information, in addition to the magnitude shown in this figure.