Analysis of kirlian images: Feature extraction and segmentation

Halkias, XC; Maragos, P

dc.contributor.author	Halkias, XC	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:42:29Z
dc.date.available	2014-03-01T02:42:29Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31017
dc.subject	Fractals	en
dc.subject	Geometric feature extraction	en
dc.subject	Kirlian images	en
dc.subject	Morphology	en
dc.subject	Segmentation	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer vision	en
dc.subject.other	Electromagnetic fields	en
dc.subject.other	Fractals	en
dc.subject.other	Information analysis	en
dc.subject.other	Morphology	en
dc.subject.other	Problem solving	en
dc.subject.other	Surface topography	en
dc.subject.other	Blob extraction	en
dc.subject.other	Edge extraction	en
dc.subject.other	Geometric feature extraction	en
dc.subject.other	Kirlian images	en
dc.subject.other	Image segmentation	en
dc.title	Analysis of kirlian images: Feature extraction and segmentation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICOSP.2004.1452775	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICOSP.2004.1452775	en
heal.publicationDate	2004	en
heal.abstract	Images of high geometrical complexity are found in various applications in the fields of image processing and computer vision. In this paper we utilize general processing techniques, mainly based on image morphology. We focus on Kirlian images, which due to their high complexity, comprise of features appearing in many biomedical images, In this paper, a first approach is given on the extraction of specific features dealing with the size and geometrical structure of Kirlian images. The extraction is implemented with the use of tools provided by the broader field of computer vision, thus providing a multi-faceted description of the images. Furthermore, this paper provides and promotes the use of automatically extracted information. Finally, efficient algorithms for obtaining the information on the size and structure of Kirlian images are presented and a number of conclusions are drawn and discussed that provide an insight on the underlying information within a highly complex image such as Kirlian images.	en
heal.journalName	International Conference on Signal Processing Proceedings, ICSP	en
dc.identifier.doi	10.1109/ICOSP.2004.1452775	en
dc.identifier.volume	1	en
dc.identifier.spage	765	en
dc.identifier.epage	768	en