Automating porosity features extraction from second harmonic generation images of cervical tissue

Siamak Yousefi, Boram Kim, Nasser Kehtarnavaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Image analysis of collagen SHG (Second Harmonic Generation) signal has potential in preterm birth detection and staging pregnancy. Current interactive methods for extracting collagen features, such as porosity, are cumbersome, subjective, time consuming and prone to error. An automated image processing pipeline is presented in this paper to automate the whole process of porosity features extraction. The proposed automated pipeline includes the following image processing components: nonlinear intensity illumination correction by arithmetic filtering, noise reduction by adaptive Wiener filtering, thresholding by Otsu to obtain a binary image representing pore areas, and finally particle analysis to obtain the porosity features including number of pores, pore size, and pore density. The effectiveness of the developed automated pipeline is examined by comparing the classification outcomes of the interactive manual and automated approaches.

Original languageEnglish (US)
Title of host publicationProceedings of the IASTED International Conference on Signal and Image Processing, SIP 2011
Pages129-132
Number of pages4
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event13th International Conference on Signal and Image Processing, SIP 2011 - Dallas, TX, United States
Duration: Dec 14 2011Dec 16 2011

Other

Other13th International Conference on Signal and Image Processing, SIP 2011
CountryUnited States
CityDallas, TX
Period12/14/1112/16/11

Fingerprint

Harmonic generation
Feature extraction
Pipelines
Porosity
Tissue
Collagen
Image processing
Adaptive filtering
Binary images
Noise abatement
Density (specific gravity)
Image analysis
Pore size
Lighting

All Science Journal Classification (ASJC) codes

  • Signal Processing

Cite this

Yousefi, S., Kim, B., & Kehtarnavaz, N. (2011). Automating porosity features extraction from second harmonic generation images of cervical tissue. In Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2011 (pp. 129-132) https://doi.org/10.2316/P.2011.759-041

Automating porosity features extraction from second harmonic generation images of cervical tissue. / Yousefi, Siamak; Kim, Boram; Kehtarnavaz, Nasser.

Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2011. 2011. p. 129-132.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yousefi, S, Kim, B & Kehtarnavaz, N 2011, Automating porosity features extraction from second harmonic generation images of cervical tissue. in Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2011. pp. 129-132, 13th International Conference on Signal and Image Processing, SIP 2011, Dallas, TX, United States, 12/14/11. https://doi.org/10.2316/P.2011.759-041
Yousefi S, Kim B, Kehtarnavaz N. Automating porosity features extraction from second harmonic generation images of cervical tissue. In Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2011. 2011. p. 129-132 https://doi.org/10.2316/P.2011.759-041
Yousefi, Siamak ; Kim, Boram ; Kehtarnavaz, Nasser. / Automating porosity features extraction from second harmonic generation images of cervical tissue. Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2011. 2011. pp. 129-132
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