The Effects of Preprocessing on Colorectal Polyp Detecting by Fuzzy Algorithm

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the following study the effects of two image preprocessing methods, namely Gaussian filtering and Wiener filtering, is studied on the results of a fuzzy inference method previously developed by the authors, for determining whether a colonoscopy picture segment contains any colorectal polyp. As earlier results show that less blurry, less compressed and less noisy images tend to be better classifiable, the effects of noise suppression with a Gaussian filter, which makes the images also blurrier, was beneficial on noisy, compressed images, and rather maleficent in good quality pictures. The effects of the Wiener filter, which both decreases noise and enhances edges, did not really manifest in classification improvement.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer
Pages347-357
Number of pages11
DOIs
Publication statusPublished - 2021

Publication series

NameStudies in Fuzziness and Soft Computing
Volume393
ISSN (Print)1434-9922
ISSN (Electronic)1860-0808

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

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    Sziová, B., Nagy, S., & Kóczy, L. T. (2021). The Effects of Preprocessing on Colorectal Polyp Detecting by Fuzzy Algorithm. In Studies in Fuzziness and Soft Computing (pp. 347-357). (Studies in Fuzziness and Soft Computing; Vol. 393). Springer. https://doi.org/10.1007/978-3-030-47124-8_28