Shape Analysis and Classification: Theory and Practice by Luciano Da Fontoura Costa, Roberto Marcondes Cesar Jr.

By Luciano Da Fontoura Costa, Roberto Marcondes Cesar Jr.

Advances match research effect a variety of disciplines, from arithmetic and engineering to drugs, archeology, and paintings. somebody simply getting into the sector, despite the fact that, could locate the few current books on form research too particular or complicated, and for college kids drawn to the explicit challenge of form reputation and characterization, conventional books on machine imaginative and prescient are too general.Shape research and class: conception and perform bargains an built-in and conceptual creation to this dynamic box and its myriad functions. starting with the fundamental mathematical ideas, it offers with form research, from photo trap to development category, and offers a few of the such a lot complex and robust suggestions utilized in perform. The authors discover the correct features of either form characterization and popularity, and provides targeted realization to useful matters, reminiscent of instructions for implementation, validation, and assessment.Shape research and class presents a wealthy source for the computational characterization and class of normal shapes, from characters to organic entities. either scholars and researchers can at once use its cutting-edge thoughts and methods to unravel their very own difficulties related to the characterization and type of visible shapes.

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Shape Analysis and Classification: Theory and Practice (Image Processing Series)

Advances healthy research impression quite a lot of disciplines, from arithmetic and engineering to medication, archeology, and paintings. a person simply coming into the sphere, besides the fact that, could locate the few present books on form research too particular or complex, and for college students attracted to the explicit challenge of form popularity and characterization, conventional books on desktop imaginative and prescient are too basic.

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Additional resources for Shape Analysis and Classification: Theory and Practice (Image Processing Series)

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3 Shape Description or Characterization Some of the most important problems involving shape analysis techniques require extracting information about objects in the real world. For example, one might want to investigate physical properties of biological entities by analyzing their shape, such as when studying spatial coverage, a concept that is also related to shape complexity. Such spatial coverage properties, particularly important in branching structures, can be related to the capacity of an object to interact with its surrounding environment, such as the capacity of roots of trees to extract water and food from the soil or of neural cells to interact with the extracellular medium, including other cells.

The composed function h (t ) = γ ( g (t )) can be graphically sketched by reflecting the values of g (t ) at the function γ ( x) , as illustrated by the dashed lines for the points A and B. In this case, the composition with the sigmoid function provides equalization of the magnitude of the input function g (t ) . 10. e. ò gσ ( x )dx = 1 ; and µand σ correspond to the mean and -¥ the standard deviation of the Gaussian, respectively. 11 illustrates three normalized Gaussian functions characterized by distinct means and standard deviations.

Exp ( ax) > 0 for any real values a and x. f (x ) = e a . 6). Such values are called parameters. A function can have several parameters, each defining a specific property of the function. Examples of other functions involving parameters © 2001 by CRC Press LLC are the sigmoid and Gaussian. The concept of parameter can also be extended to techniques, programs and models. 6: The exponential function for several values of its parameter a. 7: The sinc function. Observe that this function crosses the x-axis at x = ±1, ± 2, L .

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