{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:37:16Z","timestamp":1743061036835,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031399640"},{"type":"electronic","value":"9783031399657"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-39965-7_19","type":"book-chapter","created":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T16:01:37Z","timestamp":1692547297000},"page":"220-231","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["FIDOC: A New Combination of\u00a0Fuzzy Impulse Noise Detection and\u00a0Open-Close Filtering"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8457-7127","authenticated-orcid":false,"given":"Peter","family":"Sussner","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4984-387X","authenticated-orcid":false,"given":"Manuel","family":"Gonz\u00e1lez-Hidalgo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,21]]},"reference":[{"key":"19_CR1","series-title":"Studies in Fuzziness and Soft Computing","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-1847-5","volume-title":"Fuzzy Techniques in Image Processing","author":"EE Kerre","year":"2000","unstructured":"Kerre, E.E., Nachtegael, M.: Fuzzy Techniques in Image Processing. STUDFUZZ, vol. 52. Springer, New York (2000). https:\/\/doi.org\/10.1007\/978-3-7908-1847-5"},{"issue":"5","key":"19_CR2","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TIP.2005.864179","volume":"15","author":"S Schulte","year":"2006","unstructured":"Schulte, S., Nachtegael, M., De Witte, V., Van der Weken, D., Kerre, E.E.: A fuzzy impulse noise detection and reduction method. IEEE Trans. Image Process. 15(5), 1153\u20131162 (2006)","journal-title":"IEEE Trans. Image Process."},{"issue":"13","key":"19_CR3","doi-asserted-by":"publisher","first-page":"3659","DOI":"10.1007\/s00500-017-2669-5","volume":"21","author":"T Schuster","year":"2017","unstructured":"Schuster, T., Sussner, P.: An adaptive image filter based on the fuzzy transform for impulse noise reduction. Soft. Comput. 21(13), 3659\u20133672 (2017)","journal-title":"Soft. Comput."},{"issue":"3","key":"19_CR4","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1109\/MCI.2012.2200624","volume":"7","author":"ME Y\u00fcksel","year":"2012","unstructured":"Y\u00fcksel, M.E., Bast\u00fcrk, A.: Application of type 2 fuzzy logic filtering to reduce noise in color images. IEEE Comput. Intell. Mag. 7(3), 25\u201336 (2012)","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"11","key":"19_CR5","doi-asserted-by":"publisher","first-page":"4014","DOI":"10.1109\/TIP.2015.2456432","volume":"24","author":"CLP Chen","year":"2015","unstructured":"Chen, C.L.P., Liu, L., Chen, L., Tang, Y.Y., Zhou, Y.: Weighted couple sparse representation with classified regularization for impulse noise removal. IEEE Trans. Image Process. 24(11), 4014\u20134026 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"19_CR6","doi-asserted-by":"publisher","first-page":"37225","DOI":"10.1109\/ACCESS.2018.2850518","volume":"6","author":"K Panetta","year":"2018","unstructured":"Panetta, K., Bao, L., Agaian, S.: A new unified impulse noise removal algorithm using a new reference sequence-to-sequence similarity detector. IEEE Access 6, 37225\u201337236 (2018)","journal-title":"IEEE Access"},{"key":"19_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.measen.2022.100455","volume":"24","author":"S Rani","year":"2022","unstructured":"Rani, S., Chabbra, Y., Malik, K.: Adaptive window-based filter for high-density impulse noise suppression. Measur. Sens. 24, 100455 (2022)","journal-title":"Measur. Sens."},{"key":"19_CR8","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.asoc.2017.11.030","volume":"63","author":"M Gonzalez-Hidalgo","year":"2018","unstructured":"Gonzalez-Hidalgo, M., Massanet, S., Mir, A., Ruiz-Aguilera, D.: Improving salt and pepper noise removal using a fuzzy mathematical morphology-based filter. Appl. Soft Comput. 63, 167\u2013180 (2018)","journal-title":"Appl. Soft Comput."},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Sussner, P., Schuster, T.: Linear versus lattice fuzzy transforms: image algebra representation, observations, and results in image denoising. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20138 (2018)","DOI":"10.1109\/FUZZ-IEEE.2018.8491629"},{"key":"19_CR10","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1016\/j.fss.2005.11.012","volume":"157","author":"I Perfilieva","year":"2006","unstructured":"Perfilieva, I.: Fuzzy transforms: theory and applications. Fuzzy Sets Syst. 157, 993\u20131023 (2006)","journal-title":"Fuzzy Sets Syst."},{"key":"19_CR11","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.fss.2015.09.018","volume":"288","author":"P Sussner","year":"2016","unstructured":"Sussner, P.: Lattice fuzzy transforms from the perspective of mathematical morphology. Fuzzy Sets Syst. 288, 115\u2013128 (2016)","journal-title":"Fuzzy Sets Syst."},{"key":"19_CR12","volume-title":"Handbook of Computer Vision Algorithms in Image Algebra","author":"GX Ritter","year":"2001","unstructured":"Ritter, G.X., Wilson, J.N.: Handbook of Computer Vision Algorithms in Image Algebra, 2nd edn. CRC Press, Boca Raton (2001)","edition":"2"},{"issue":"9","key":"19_CR13","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1016\/0031-3203(94)00312-A","volume":"28","author":"I Bloch","year":"1995","unstructured":"Bloch, I., Maitre, H.: Fuzzy mathematical morphologies: a comparative study. Pattern Recogn. 28(9), 1341\u20131387 (1995)","journal-title":"Pattern Recogn."},{"key":"19_CR14","series-title":"Statistics, and Neural Network Approach","first-page":"53","volume-title":"Uncertainty Analysis in Engineering and Science: Fuzzy Logic","author":"B De Baets","year":"1997","unstructured":"De Baets, B.: Fuzzy morphology: a logical approach. In: Ayyub, B.M., Gupta, M.M. (eds.) Uncertainty Analysis in Engineering and Science: Fuzzy Logic. Statistics, and Neural Network Approach, pp. 53\u201367. Kluwer Academic Publishers, Norwell (1997)"},{"key":"19_CR15","series-title":"Studies in Fuzziness and Soft Computing","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69082-5","volume-title":"Fuzzy Implications","author":"M Baczy\u0144ski","year":"2008","unstructured":"Baczy\u0144ski, M., Jayaram, B.: Fuzzy Implications. STUDFUZZ, vol. 231. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-69082-5"},{"key":"19_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-9540-7","volume-title":"Triangular Norms","author":"EP Klement","year":"2000","unstructured":"Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Kluwer Academic Publishers, London (2000)"},{"issue":"22","key":"19_CR17","doi-asserted-by":"publisher","first-page":"31529","DOI":"10.1007\/s11042-022-12847-7","volume":"81","author":"N Bindal","year":"2022","unstructured":"Bindal, N., Ghumaan, R.S., Sohi, P.J.S., Sharma, N., Joshi, H., Garg, B.: A systematic review of state-of-the-art noise removal techniques in digital images. Multimed. Tools Appl. 81(22), 31529\u201331552 (2022)","journal-title":"Multimed. Tools Appl."},{"key":"19_CR18","volume":"102","author":"M Yin","year":"2022","unstructured":"Yin, M., Adam, T., Paramesran, R., Hassan, M.F.: An $$\\ell $$0-overlapping group sparse total variation for impulse noise image restoration. Signal Process.: Image Commun. 102, 116620 (2022)","journal-title":"Signal Process.: Image Commun."},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"Orazaev, A., Lyakhov, P., Baboshina, V., Kalita, D.: Neural network system for recognizing images affected by random-valued impulse noise. Appl. Sci. 13(3) (2023)","DOI":"10.3390\/app13031585"}],"container-title":["Lecture Notes in Computer Science","Fuzzy Logic and Technology, and Aggregation Operators"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39965-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T16:03:01Z","timestamp":1692547381000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39965-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031399640","9783031399657"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39965-7_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"21 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EUSFLAT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference of the European Society for Fuzzy Logic and Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Palma de Mallorca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eusflat2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.eusflat2023.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"161","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"71","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}