Skip to Main content Skip to Navigation
Conference papers

Kohonen SOM for Image Slides Sequencing

Abstract : In this paper we present a new approach to sequencing of 2-D slide images with the goal of 3-D object reconstructions. We focus our attention mostly on microscope images obtained from serial sections of biological tissues. For adequate 3-D body reconstruction the correct sequence of section should be available. We propose a modified SOM Kohonen networks with open chain topology for true sequence estimation based on based on 2-D image features invariant to section image translation and rotation, but sensitive to a scale of an object on the slide. We provide an experimental validation of the proposed method using artificial section images of a mechanical device and real microscopic histological section images.
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal.inria.fr/hal-01637466
Contributor : Hal Ifip <>
Submitted on : Friday, November 17, 2017 - 3:43:44 PM
Last modification on : Saturday, November 18, 2017 - 1:16:37 AM
Long-term archiving on: : Sunday, February 18, 2018 - 4:05:36 PM

File

419526_1_En_32_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Ewa Skubalska-Rafajłowicz, Aneta Górniak. Kohonen SOM for Image Slides Sequencing. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.352-365, ⟨10.1007/978-3-319-45378-1_32⟩. ⟨hal-01637466⟩

Share

Metrics

Record views

77

Files downloads

142