The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.08 - August (1994 vol.16)
pp: 824-831
ABSTRACT
<p>The shape from focus method presented here uses different focus levels to obtain a sequence of object images. The sum-modified-Laplacian (SML) operator is developed to provide local measures of the quality of image focus. The operator is applied to the image sequence to determine a set of focus measures at each image point. A depth estimation algorithm interpolates a small number of focus measure values to obtain accurate depth estimates. A fully automated shape from focus system has been implemented using an optical microscope and tested on a variety of industrial samples. Experimental results are presented that demonstrate the accuracy and robustness of the proposed method. These results suggest shape from focus to be an effective approach for a variety of challenging visual inspection tasks.</p>
INDEX TERMS
image sequences; image texture; shape from focus method; sum-modified-Laplacian operator; image focus quality; depth estimation algorithm; optical microscope; accuracy; robustness; visual inspection tasks
CITATION
S.K. Nayar, Y. Nakagawa, "Shape from Focus", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.16, no. 8, pp. 824-831, August 1994, doi:10.1109/34.308479
21 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool