IEEE Trans Image Process - Nonlinear approach for enhancement of image focus volume in shape from focus.

Tópicos

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Resumo

Mostly, shape-from-focus algorithms use local averaging using a fixed rectangle window to enhance the initial focus volume. In this linear filtering, the window size affects the accuracy of the depth map. A small window is unable to suppress the noise properly, whereas a large window oversmoothes the object shape. Moreover, the use of any window size smoothes focus values uniformly. Consequently, an erroneous depth map is obtained. In this paper, we suggest the use of iterative 3-D anisotropic nonlinear diffusion filtering (ANDF) to enhance the image focus volume. In contrast to linear filtering, ANDF utilizes the local structure of the focus values to suppress the noise while preserving edges. The proposed scheme is tested using image sequences of synthetic and real objects, and results have demonstrated its effectiveness.

Resumo Limpo

most shapefromfocus algorithm use local averag use fix rectangl window enhanc initi focus volum linear filter window size affect accuraci depth map small window unabl suppress nois proper wherea larg window oversmooth object shape moreov use window size smooth focus valu uniform consequ erron depth map obtain paper suggest use iter d anisotrop nonlinear diffus filter andf enhanc imag focus volum contrast linear filter andf util local structur focus valu suppress nois preserv edg propos scheme test use imag sequenc synthet real object result demonstr effect

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