A new edge detector based on Fresnel diffraction

Diao, Luhong; Yu, Bin; Li, Hua

doi:10.1016/j.patrec.2006.12.004

Cited by 5 publications

(1 citation statement)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At first, according to Fresnel diffraction mode, we convolve an edge enhancement mask of size 3 × 3 with images [10] . The Equation (1) Then, the canny algorithm is employed to extract the edges [11] .…”

Section: Feature Extractionmentioning

confidence: 99%

Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance

2007

View full text Add to dashboard Cite

This paper presents a suited approach to deal with the template coarse matching of synthetic aperture radar (SAR) and optical images based on wavelet subbands and Hausdorff distance. Firstly, we analyze the discrepancy of imaging character between SAR and optical images. Secondly, we occupy the max flat wavelet decomposition to obtain the template images, which also can suppress the speckle in SAR. Thirdly, improved canny algorithm is employed to extract the edge feature of SAR and optical images after image enhancement, respectively. Finally, this paper applies the modified Hausdorff distance with the optimum coefficient to the similarity measurement for the matching. The experimental results demonstrate the validity of the proposed methodology.

show abstract

Section: Feature Extractionmentioning

confidence: 99%

Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance

2007

View full text Add to dashboard Cite

show abstract

Electron tomography using a geometric surface-tangent algorithm: Application to atom probe specimen morphology

Petersen

Ringer

2009

Journal of Applied Physics

View full text Add to dashboard Cite

To adapt electron tomography for the specific study of specimen morphology, a novel reconstruction algorithm is proposed which treats strong intensity gradients in images as arising from the projected edges of surfaces. Images portraying scattering interfaces arising from absorption, elastic, or Fresnel diffraction processes are used to identify edge maps that define the abscissa of projected surface tangents. Differential geometry is used to calculate the shape of these surfaces by considering smooth variations of measured tangent abscissa to infer local tangent intersections. The approach outlined here is not restricted to convex shapes and is designed for cases where morphology is more important than retrieval of the three-dimensional scattering density. The proposed algorithm is tested on simulated data, experimental benchmark specimens of MgO nanoparticles and is then applied to a nanosized atom probe tip, for which the approach here was specifically developed.

show abstract

Intelligent brain hemorrhage diagnosis using artificial neural networks

Balasooriya

Perera

2012

2012 IEEE Business, Engineering &Amp; Industrial Applications Colloquium (BEIAC)

View full text Add to dashboard Cite

A new edge detector based on Fresnel diffraction

Cited by 5 publications

References 42 publications

Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance

Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance

Electron tomography using a geometric surface-tangent algorithm: Application to atom probe specimen morphology

Intelligent brain hemorrhage diagnosis using artificial neural networks

Contact Info

Product

Resources

About