TY - CHAP AU - ISMAIL, RANEEM AU - Sziová, Brigita AU - Taha, Hussein AU - Nagy, Szilvia ED - Mitko, Kostov TI - The effect of different consequent setting on the effectiveness of Kóczy-Hirota fuzzy rule interpolation in colonoscopy image classification T2 - 2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway (NJ) SN - 9781665485005 PY - 2022 SP - 123 EP - 126 PG - 4 DO - 10.1109/ICEST55168.2022.9828693 UR - https://m2.mtmt.hu/api/publication/33079576 ID - 33079576 AB - The effect of the refinement of the consequent categories in Kï¿czy-Hirota fuzzy rule interpolation is studied in the model system of colonoscopy image classification. The colonoscopy image segments are classified based on 99 antecedents, which are statistical parameters of the image segments. The number of consequents is increased from 2 - contains polyp, or does not contain polyp - to a more refined set distribution based on the polyp content of the image segment. © 2022 IEEE. LA - English DB - MTMT ER - TY - JOUR AU - Nagy, Szilvia AU - Lilik, Ferenc AU - Sziová, Brigita AU - Szujó, Szonja AU - Kóczy, T. László TI - On the Selection the Rule Membership Functions and Fuzzy Rule Interpolation JF - STUDIES IN COMPUTATIONAL INTELLIGENCE J2 - STUD COMP INTELLIG VL - 959 PY - 2022 SP - 111 EP - 118 PG - 8 SN - 1860-949X DO - 10.1007/978-3-030-74970-5_13 UR - https://m2.mtmt.hu/api/publication/32253484 ID - 32253484 LA - English DB - MTMT ER - TY - BOOK AU - Sziová, Brigita TI - Orvosi felvételek wavelet, fuzzy Hough-transzformáció, entrópia és Hesse-szűrő alapú elemzése PY - 2021 UR - https://m2.mtmt.hu/api/publication/32947963 ID - 32947963 N1 - pp. 215-221 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Nagy, Szilvia AU - ISMAIL, RANEEM AU - Sziová, Brigita AU - Kóczy, T. László TI - On classical and fuzzy Hough transform in colonoscopy image processing T2 - 2021 IEEE AFRICON Conference PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway (NJ) SN - 1665419849 T3 - Proceedings - IEEE AFRICON Conference, ISSN 2153-0025 PY - 2021 PG - 6 DO - 10.1109/AFRICON51333.2021.9570897 UR - https://m2.mtmt.hu/api/publication/32499799 ID - 32499799 AB - Hough transform is used to find lines on edge-filtered images that are given in parametric form. As the fuzzy extension of the Hough transform has been proven to be more robust in environments where the lines to be found by them are not strictly following the formula given by the parametric equation of the Hough transform due to noise and weak and blurred contours, in the following considerations, we study the applicability of the circular fuzzy Hough transform for analyzing colonoscopy pictures and detecting colorectal polyps. LA - English DB - MTMT ER - TY - CHAP AU - Nagy, Szilvia AU - Lilik, Ferenc AU - Sziová, Brigita AU - Kovács, Melinda Ágnes AU - Kóczy, T. László ED - Marsala, Christophe ED - Lesot, Marie-Jeanne TI - On the Applicability of Fuzzy Rule Interpolation and Wavelet Analysis in Colorectal Image Segment Classification T2 - Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications PB - Springer International Publishing CY - Cham SN - 9783030543402 T3 - Studies in Fuzziness and Soft Computing, ISSN 1434-9922 ; 394. PY - 2021 SP - 243 EP - 255 PG - 13 DO - 10.1007/978-3-030-54341-9_21 UR - https://m2.mtmt.hu/api/publication/31872530 ID - 31872530 LA - English DB - MTMT ER - TY - JOUR AU - Sziová, Brigita AU - Nagy, Szilvia AU - Fazekas, Zoltán TI - Application of Structural Entropy and Spatial Filling Factor in Colonoscopy Image Classification JF - ENTROPY J2 - ENTROPY-SWITZ VL - 23 PY - 2021 IS - 8 PG - 30 SN - 1099-4300 DO - 10.3390/e23080936 UR - https://m2.mtmt.hu/api/publication/32112643 ID - 32112643 N1 - Cited By :2 Export Date: 5 September 2022 Correspondence Address: Sziová, B.; Department of Computer Science, Egyetem tér 1, Hungary; email: szi.brigitta@sze.hu LA - English DB - MTMT ER - TY - CHAP AU - Sziová, Brigita AU - Nagy, Szilvia AU - Kóczy, T. László ED - Kreinovich, Vladik ED - Balas, Valentina Emilia ED - Kacprzyk, Janusz ED - Shahbazova, Shahnaz N. TI - The Effects of Preprocessing on Colorectal Polyp Detecting by Fuzzy Algorithm T2 - Recent Developments and the New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 7th World Conference on Soft Computing PB - Springer International Publishing CY - Cham SN - 9783030471231 T3 - Studies in Fuzziness and Soft Computing, ISSN 1434-9922 ; 393. PY - 2021 SP - 347 EP - 357 PG - 11 DO - 10.1007/978-3-030-47124-8_28 UR - https://m2.mtmt.hu/api/publication/31925021 ID - 31925021 N1 - Cited By :2 Export Date: 31 July 2023 Correspondence Address: Sziová, B.; Department of Information Technology, Hungary; email: szi.brigitta@sze.hu LA - English DB - MTMT ER - TY - JOUR AU - Lilik, Ferenc AU - Solecki, Levente AU - Sziová, Brigita AU - Kóczy, T. László AU - Nagy, Szilvia TI - On wavelet based enhancing possibilities of fuzzy classification methods JF - JOURNAL OF AUTOMATION MOBILE ROBOTICS AND INTELLIGENT SYSTEMS J2 - J AUTOMAT MOBIL ROBOT INTELL SYST VL - 14 PY - 2020 IS - 2 SP - 32 EP - 41 PG - 10 SN - 1897-8649 DO - 10.14313/JAMRIS/2-2020/18 UR - https://m2.mtmt.hu/api/publication/31925018 ID - 31925018 N1 - Correspondence Address: Lilik, F.; Széchenyi István University, Egyetem tér 1, Hungary; email: lilikf@sze.hu LA - English DB - MTMT ER - TY - JOUR AU - Lilik, Ferenc AU - Solecki, Levente AU - Sziová, Brigita AU - Kóczy, T. László AU - Nagy, Szilvia TI - On Wavelet Based Enhancing Possibilities of Fuzzy Classification Methods JF - ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING J2 - ADV INT SYST COMPUT VL - 945 PY - 2020 SP - 56 EP - 73 PG - 18 SN - 2194-5357 DO - 10.1007/978-3-030-18058-4_5 UR - https://m2.mtmt.hu/api/publication/30772988 ID - 30772988 N1 - Correspondence Address: Lilik, F.; Széchenyi István University, Egyetem tér 1, Hungary; email: lilikf@sze.hu AB - If the antecedents of a fuzzy classification method are derived from pictures or measured data, it might have too many dimensions to handle. A classification scheme based on such data has to apply a careful selection or processing of the measured results: either a sampling, re-sampling is necessary or the usage of functions, transformations that reduce the long, high dimensional observed data vector or matrix into a single point or to a low number of points. Wavelet analysis can be useful in such cases in two ways.As the number of resulting points of the wavelet analysis is approximately half at each filters, a consecutive application of wavelet transform can compress the measurement data, thus reducing the dimensionality of the signal, i.e., the antecedent. An SHDSL telecommunication line evaluation is used to demonstrate this type of applicability, wavelets help in this case to overcome the problem of a one dimensional signal sampling.In the case of using statistical functions, like mean, variance, gradient, edge density, Shannon or Renyi entropies for the extraction of the information from a picture or a measured data set, and they don not produce enough information for performing the classification well enough, one or two consecutive steps of wavelet analysis and applying the same functions for the thus resulting data can extend the number of antecedents, and can distill such parameters that were invisible for these functions in the original data set. We give two examples, two fuzzy classification schemes to show the improvement caused by wavelet analysis: a measured surface of a combustion engine cylinder and a colonoscopy picture. In the case of the first example the wear degree is to be determine, in the case of the second one, the roundish polyp content of the picture. In the first case the applied statistical functions are Renyi entropy differences, the structural entropies, in the second case mean, standard deviation, Canny filtered edge density, gradients and the entropies.In all the examples stabilized KH rule interpolation was used to treat sparse rulebases.The preliminary version of this paper was presented at the 3rd Conference on Information Technology, Systems Research and Computational Physics, 2-5 July 2018, Cracow, Poland [1]. LA - English DB - MTMT ER - TY - JOUR AU - Nagy, Szilvia AU - Sziová, Brigita AU - Solecki, Levente TI - The effect of background and outlier subtraction on the structural entropy of two-dimensional measured data JF - INTERNATIONAL JOURNAL OF REASONING-BASED INTELLIGENT SYSTEMS J2 - INTERN. J. OF REASONING-BASED INTELLIGENT SYSTEMS VL - 12 PY - 2020 IS - 3 SP - 200 EP - 209 PG - 10 SN - 1755-0556 DO - 10.1504/IJRIS.2020.109652 UR - https://m2.mtmt.hu/api/publication/31793877 ID - 31793877 LA - English DB - MTMT ER -