Three-dimensional surface microtopography recovery from a multifocus image sequence using an omnidirectional modified...

Area of Science:

• Optics and Photonics
• Computer Vision
• Materials Science

Background:

• Optical microscopy provides 2D images, limiting accurate 3D surface microtopography recovery.
• Existing focus evaluation operators for 3D reconstruction have limitations, including fixed window sizes and ignoring diagonal pixel information.

Purpose of the Study:

• To develop an improved focus evaluation operator for accurate 3D surface reconstruction.
• To address the limitations of fixed-size operators in capturing microtopography details.

Main Methods:

• Proposed a modified omnidirectional Laplacian operator with an adaptive window size.
• The window size dynamically adjusts based on local pixel color differences.
• Incorporated consideration for pixels in the diagonal direction.

Main Results:

• The adaptive window operator enhances the accuracy of 3D surface microtopography recovery.
• Overcame noise vulnerability and smoothing phenomena associated with fixed-size windows.
• Demonstrated improved 3D model generation from 2D image sequences.

Conclusions:

• The modified omnidirectional Laplacian operator with an adaptive window offers superior performance in 3D surface reconstruction.
• This adaptive approach provides a more accurate and intuitive representation of microtopography.
• Comprehensive experiments validated the effectiveness of the proposed method.