The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images

S. Nagy, Brigita Sziová, L. Kóczy

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

1 Citation (Scopus)

Abstract

Previous studies showed that intensities, intensity variation, edge densities, structural entropies of colonoscopy images and their wavelet transforms are good candidates for being selected as antecedents in fuzzy decision methods using KH interpolation for determining whether an image segment contains colorectal polyp segment. In the present consideration, we check which possible antecedent dimensions need interpolation, whether the average and variation of the gradients makes the classification more effective and whether some of the features can be omitted for some classes of images. The method is tested on three available databases consisting of images of three different resolutions, and according to the results, different resolutions, different types of polyps require different classification schemes, thus a hierarchical decision system needs to be built.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-July
ISBN (Electronic)9781509060207
DOIs
Publication statusPublished - Oct 12 2018
Event2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Rio de Janeiro, Brazil
Duration: Jul 8 2018Jul 13 2018

Other

Other2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018
CountryBrazil
CityRio de Janeiro
Period7/8/187/13/18

Fingerprint

Hierarchical Classification
Fuzzy Classification
Interpolation
Interpolate
Wavelet transforms
Entropy
Fuzzy Decision
Decision System
Hierarchical Systems
Wavelet Transform
Gradient

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Nagy, S., Sziová, B., & Kóczy, L. (2018). The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images. In 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings (Vol. 2018-July). [8491479] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2018.8491479

The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images. / Nagy, S.; Sziová, Brigita; Kóczy, L.

2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. 8491479.

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

Nagy, S, Sziová, B & Kóczy, L 2018, The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images. in 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. vol. 2018-July, 8491479, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018, Rio de Janeiro, Brazil, 7/8/18. https://doi.org/10.1109/FUZZ-IEEE.2018.8491479
Nagy S, Sziová B, Kóczy L. The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images. In 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Vol. 2018-July. Institute of Electrical and Electronics Engineers Inc. 2018. 8491479 https://doi.org/10.1109/FUZZ-IEEE.2018.8491479
Nagy, S. ; Sziová, Brigita ; Kóczy, L. / The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images. 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018.
@inproceedings{ff4d5ed9a62a41039b4eb298cdb18567,
title = "The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images",
abstract = "Previous studies showed that intensities, intensity variation, edge densities, structural entropies of colonoscopy images and their wavelet transforms are good candidates for being selected as antecedents in fuzzy decision methods using KH interpolation for determining whether an image segment contains colorectal polyp segment. In the present consideration, we check which possible antecedent dimensions need interpolation, whether the average and variation of the gradients makes the classification more effective and whether some of the features can be omitted for some classes of images. The method is tested on three available databases consisting of images of three different resolutions, and according to the results, different resolutions, different types of polyps require different classification schemes, thus a hierarchical decision system needs to be built.",
author = "S. Nagy and Brigita Sziov{\'a} and L. K{\'o}czy",
year = "2018",
month = "10",
day = "12",
doi = "10.1109/FUZZ-IEEE.2018.8491479",
language = "English",
volume = "2018-July",
booktitle = "2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - Towards hierarchical fuzzy classification of coloscopic still images

AU - Nagy, S.

AU - Sziová, Brigita

AU - Kóczy, L.

PY - 2018/10/12

Y1 - 2018/10/12

N2 - Previous studies showed that intensities, intensity variation, edge densities, structural entropies of colonoscopy images and their wavelet transforms are good candidates for being selected as antecedents in fuzzy decision methods using KH interpolation for determining whether an image segment contains colorectal polyp segment. In the present consideration, we check which possible antecedent dimensions need interpolation, whether the average and variation of the gradients makes the classification more effective and whether some of the features can be omitted for some classes of images. The method is tested on three available databases consisting of images of three different resolutions, and according to the results, different resolutions, different types of polyps require different classification schemes, thus a hierarchical decision system needs to be built.

AB - Previous studies showed that intensities, intensity variation, edge densities, structural entropies of colonoscopy images and their wavelet transforms are good candidates for being selected as antecedents in fuzzy decision methods using KH interpolation for determining whether an image segment contains colorectal polyp segment. In the present consideration, we check which possible antecedent dimensions need interpolation, whether the average and variation of the gradients makes the classification more effective and whether some of the features can be omitted for some classes of images. The method is tested on three available databases consisting of images of three different resolutions, and according to the results, different resolutions, different types of polyps require different classification schemes, thus a hierarchical decision system needs to be built.

UR - http://www.scopus.com/inward/record.url?scp=85060441451&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060441451&partnerID=8YFLogxK

U2 - 10.1109/FUZZ-IEEE.2018.8491479

DO - 10.1109/FUZZ-IEEE.2018.8491479

M3 - Conference contribution

AN - SCOPUS:85060441451

VL - 2018-July

BT - 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -