<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches. Scale space theory represents a systematic treatment of the issues of spatially uncorrelated noise with its main application being the detection of edges, using multiple resolution scales, which can be used for subsequent segmentation, classification or encoding. The present paper will give an overview of some recent applications of scale spaces into problems of microscopic image analysis. Particular overviews will be given to Gaussian and alpha-scale spaces. Some applications in the analysis of biomedical images will be presented. The implementation of filters will be demonstrated.</p></abstract>

Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches. Scale space theory represents a systematic treatment of the issues of spatially uncorrelated noise with its main application being the detection of edges, using multiple resolution scales, which can be used for subsequent segmentation, classification or encoding. The present paper will give an overview of some recent applications of scale spaces into problems of microscopic image analysis. Particular overviews will be given to Gaussian and alpha-scale spaces. Some applications in the analysis of biomedical images will be presented. The implementation of filters will be demonstrated.

Selected Applications of Scale Spaces in Microscopic Image Analysis

EHS, Interuniversity Microelectronics Center (IMEC), 3001 Leuven, Belgium

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Selected Applications of Scale Spaces in Microscopic Image Analysis"}

Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based...

Selected Applications of Scale Spaces in Microscopic Image Analysis

Online veröffentlicht: 19. Jan. 2016

Seitenbereich: 5 - 12

DOI: https://doi.org/10.1515/cait-2015-0084

Schlüsselwörter
Edge-detection, Gaussian filtering, alpha-stable distributions

© 2015 Dimiter Prodanov et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Selected Applications of Scale Spaces in Microscopic Image Analysis

Online veröffentlicht: 19. Jan. 2016

Seitenbereich: 5 - 12

DOI: https://doi.org/10.1515/cait-2015-0084

SchlüsselwörterEdge-detection, Gaussian filtering, alpha-stable distributions

© 2015 Dimiter Prodanov et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Edge-detection, Gaussian filtering, alpha-stable distributions