IEEE Trans Image Process - Adjoint active surfaces for localization and imaging.

Tópicos

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Resumo

This paper addresses the problem of localizing and segmenting regions embedded within a surrounding medium by characterizing their boundaries, as opposed to imaging the entirety of the volume. Active surfaces are used to directly reconstruct the shape of the region of interest. We describe the procedure for finding the optimal surface, which is computed iteratively via gradient descent that exploits the sensitivity of an error minimization functional to changes of the active surface. In doing so, we introduce the adjoint model to compute the sensitivity, and in this respect, the method shares common ground with several other disciplines, such as optimal control. Finally, we illustrate the proposed active surface technique in the framework of wave propagation governed by the scalar Helmholtz equation. Potential applications include electromagnetics, acoustics, geophysics, nondestructive testing, and medical imaging.

Resumo Limpo

paper address problem local segment region embed within surround medium character boundari oppos imag entireti volum activ surfac use direct reconstruct shape region interest describ procedur find optim surfac comput iter via gradient descent exploit sensit error minim function chang activ surfac introduc adjoint model comput sensit respect method share common ground sever disciplin optim control final illustr propos activ surfac techniqu framework wave propag govern scalar helmholtz equat potenti applic includ electromagnet acoust geophys nondestruct test medic imag

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