High-quality three-dimensional reconstruction and noise reduction of multifocal images from oversized samples

Martišek, Dalibor; Procházková, Jana; Ficker, T.

doi:10.1117/1.jei.24.5.053029

Cited by 8 publications

(12 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper follows up recent published works [ 1 , 2 ] about 3D reconstruction methods for images acquired by confocal and nonconfocal microscopes. Confocal microscopes are actually optical microscopes which are distinguished from other optical microscopes by two unique properties.…”

Section: Introductionmentioning

confidence: 89%

Registration of Partially Focused Images for 2D and 3D Reconstruction of Oversized Samples

Martišek

Druckmüllerová

2017

Scanning

Self Cite

View full text Add to dashboard Cite

Methods of fracture surface 3D reconstruction from a series of partially focused images acquired in a small field of view (e.g., by confocal microscope or CCD camera) are well known. In this case, projection rays can be considered parallel and recorded images do not differ in any geometrical transformation from each other. In the case of larger samples (oversized for microscope or CCD camera), it is necessary to use a wider viewing field (e.g., standard cameras); taken images primarily differ in scaling but may also differ in shifting and rotation. These images cannot be used for reconstruction directly; they must be registered; that is, we must determine all transformations in which the images differ and eliminate their effects. There are several ways to do this. This paper deals with the registration based on phase correlation.

show abstract

Section: Introductionmentioning

confidence: 89%

Registration of Partially Focused Images for 2D and 3D Reconstruction of Oversized Samples

Martišek

Druckmüllerová

2017

Scanning

Self Cite

View full text Add to dashboard Cite

show abstract

“…This transform does not suffer by edge jump. The expression � is the value of the amplitude spectrum of the cosine Fourier transform in pixel [ ; ] of the -th image) [22]. Focused 2D image is the composition of the particular pixels with maxima of the focusing criterion.…”

Section: Methods Shape From Focusmentioning

confidence: 99%

The Analysis of Rock Surface Asperities

Martišek¹,

Procházková²

2018

mendel

View full text Add to dashboard Cite

The analysis of rock surface is commonly used in technical practice. The nature discontinuity rocks are often represented by specific degree of roughness. This value has the significant effect on the rock slope stability. It is defined by the asperities and the computation is based on the visual comparison of discontinuity traces or discontinuity surfaces with standard two-dimensional graphs. The visual comparison is a subjective method, so that we propose novel method for roughness-angles analysis. Our method consists of the application of cosine Fourier series. We tested the method on the sample of limestone. The article also describes the method Surface from Focus that reconstruct the 3D surface from a set of partially focused images.

show abstract

“…This problem was solved by several ways: varying size of computational pixel windows [33,36], averaging multiple snapshots taken at each vertical position [26], or input data averaging [37]. However, these methods are able to decrease a noise but the noise cannot be zeroed.…”

Section: The Thirdmentioning

confidence: 99%

3D Reconstruction of the Surface Using a Standard Camera

Martišek

2017

Mathematical Problems in Engineering

Self Cite

View full text Add to dashboard Cite

This paper deals with 3D reconstructions of series of partially focussed images. Some of these methods are known in case of images which were acquired in small field of view (by confocal microscope or CCD camera, e.g.). In this case, recorded images do not differ in any geometrical transformation from each other. In case of larger samples (oversized for microscope or CCD camera), it is necessary to use wider viewing field (standard cameras, e.g.), and taken images primarily differ in scaling but may also differ in shifting and rotation too. These images cannot be used for reconstruction directly; they must be registered; that is, we must determine all transformations which the images differ and eliminate their effects. There are several ways to do this. This paper deals with the registration based on phase correlation. After this registration, it is necessary to identify the sharp parts and to compose a 2D and 3D model. Present methods are very sensitive to noise and their results are not satisfactory in many cases. We introduce a new method for 3D reconstruction which is significantly better.

show abstract

High-quality three-dimensional reconstruction and noise reduction of multifocal images from oversized samples

Cited by 8 publications

References 20 publications

Registration of Partially Focused Images for 2D and 3D Reconstruction of Oversized Samples

Registration of Partially Focused Images for 2D and 3D Reconstruction of Oversized Samples

The Analysis of Rock Surface Asperities

3D Reconstruction of the Surface Using a Standard Camera

Contact Info

Product

Resources

About