SHAPE FROM FOCUS

被引：905

作者：

NAYAR, SK ^{[1
]}

NAKAGAWA, Y ^{[1
]}

机构：

[1] HITACHI LTD,PROD ENGN RES LAB,TOTSUKA KU,YOKOHAMA 244,JAPAN

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1994年 / 16卷 / 08期

关键词：

DEFOCUS; FOCUS OPERATOR; FOCUS MEASURE FUNCTION; DEPTH ESTIMATION; ROUGHNESS AND TEXTURE; AUTOMATIC SHAPE FROM FOCUS;

D O I：

10.1109/34.308479

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：824 / 831

页数：8

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