Literature DB >> 18255509

Shape from focus using multilayer feedforward neural networks.

M Asif1, T S Choi.   

Abstract

The conventional shape-from-focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a scheme for SFF based on representation of three-dimensional (3-D) FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.

Year:  2001        PMID: 18255509     DOI: 10.1109/83.967395

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

1.  Jitter noise modeling and its removal using recursive least squares in shape from focus systems.

Authors:  Husna Mutahira; Vladimir Shin; Unsang Park; Mannan Saeed Muhammad
Journal:  Sci Rep       Date:  2022-08-18       Impact factor: 4.996

2.  3D Measurement Method for Saturated Highlight Characteristics on Surface of Fuel Nozzle.

Authors:  Yeni Li; Liang Hou; Yun Chen
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

  2 in total

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