{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:53:25Z","timestamp":1743026005184,"version":"3.40.3"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031154706"},{"type":"electronic","value":"9783031154713"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-15471-3_39","type":"book-chapter","created":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T09:04:42Z","timestamp":1662887082000},"page":"455-465","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Aspects on\u00a0Image Edge Detection Based on\u00a0Sensitive Swarm Intelligence"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8740-8575","authenticated-orcid":false,"given":"Cristina","family":"Ticala","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2338-2454","authenticated-orcid":false,"given":"Camelia-M.","family":"Pintea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1795-2297","authenticated-orcid":false,"given":"Gloria Cerasela","family":"Crisan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0319-8318","authenticated-orcid":false,"given":"Oliviu","family":"Matei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3135-1244","authenticated-orcid":false,"given":"Mara","family":"Hajdu-Macelaru","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0626-9284","authenticated-orcid":false,"given":"Petrica C.","family":"Pop","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,12]]},"reference":[{"key":"39_CR1","unstructured":"Matei, O.: Defining an ontology for the radiograph images segmentation. In: Proceedings International Conference on Development and Application Systems, Suceava, Romania, pp. 266\u2013271 (2008)"},{"issue":"3","key":"39_CR2","first-page":"324","volume":"14","author":"O Matei","year":"2006","unstructured":"Matei, O.: Applying evolution strategies for chest radiographs segmentation. Comp. Sci. J. Moldova 14(3), 324\u2013344 (2006)","journal-title":"Comp. Sci. J. Moldova"},{"key":"39_CR3","doi-asserted-by":"publisher","unstructured":"Marginean, A.N., et al.: Reliable learning with PDE-based CNNs and dense nets for detecting COVID-19, pneumonia, and tuberculosis from chest X-ray images. Mathematics 9, 1\u201320 (2021). https:\/\/doi.org\/10.3390\/math9040434","DOI":"10.3390\/math9040434"},{"key":"39_CR4","doi-asserted-by":"crossref","unstructured":"Grass\u00e9, P.-P.: La Reconstruction du nid et les coordinations interindividuelles chez bellicositermes Natalensis et Cubitermes sp. La theorie de la stigmergie: Essai d\u2019interpretation du comportement des termites constructeurs. Insect Sociaux 6, 41\u201380 (1959)","DOI":"10.1007\/BF02223791"},{"key":"39_CR5","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1613\/jair.530","volume":"9","author":"G Di Caro","year":"1998","unstructured":"Di Caro, G., Dorigo, M.: AntNet: distributed stigmergetic control for communications networks. J. Artif. Intell. Res. 9, 317\u2013365 (1998)","journal-title":"J. Artif. Intell. Res."},{"issue":"3","key":"39_CR6","first-page":"175","volume":"9","author":"C Chira","year":"2006","unstructured":"Chira, C., et al.: Stigmergic agent optimization. Romanian J. Inf. Sci. Technol. 9(3), 175\u2013183 (2006)","journal-title":"Romanian J. Inf. Sci. Technol."},{"key":"39_CR7","series-title":"NATO ASI Series, vol 102","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1007\/978-3-642-58069-7_38","volume-title":"Robots and Biological Systems: Towards a New Bionics?","author":"G Beni","year":"1993","unstructured":"Beni, G., Wang, J.: Swarm intelligence in cellular robotic systems. In: Dario, P., et al. (eds.) Robots and Biological Systems: Towards a New Bionics? NATO ASI Series, vol 102, pp. 703\u2013712. Springer, Heidelberg (1993). https:\/\/doi.org\/10.1007\/978-3-642-58069-7_38"},{"key":"39_CR8","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-34956-3_1","volume-title":"Swarm Intelligence in Data Mining","author":"C Grosan","year":"2006","unstructured":"Grosan, C., Abraham, A., Chis, M.: Swarm intelligence in data mining. In: Abraham, A., Grosan, C., Ramos, V. (eds.) Swarm Intelligence in Data Mining. Studies in Computational Intelligence, vol. 34, pp. 1\u201320. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/978-3-540-34956-3_1"},{"key":"39_CR9","volume-title":"Swarm Intelligence Optimization: Algorithms and Applications","author":"A Kumar","year":"2021","unstructured":"Kumar, A., Rathore, P.S., Diaz, V.G., Agrawal, R.: Swarm Intelligence Optimization: Algorithms and Applications. Wiley-Scrivener, Beverly (2021)"},{"key":"39_CR10","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1290.001.0001","volume-title":"Ant Colony Optimization","author":"M Dorigo","year":"2004","unstructured":"Dorigo, M., St\u00fctzle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)"},{"key":"39_CR11","doi-asserted-by":"publisher","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN 1995 International Conference on Neural Networks, Perth, WA, Australia, vol. 4, pp. 1942\u20131948. IEEE (1995). https:\/\/doi.org\/10.1109\/ICNN.1995.488968","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"13","key":"39_CR12","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: GSA: a gravitational search algorithm. Inf. Sci. 179(13), 2232\u20132248 (2009)","journal-title":"Inf. Sci."},{"key":"39_CR13","doi-asserted-by":"crossref","unstructured":"Meshoul, S., Batouche, M.: Ant colony system with extremal dynamics for point matching and pose estimation. In: Proceedings of the 16th International Conference on Pattern Recognition, Quebec, Canada, vol. 3, pp. 823\u2013826. IEEE (2002)","DOI":"10.1109\/ICPR.2002.1048148"},{"issue":"7","key":"39_CR14","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1007\/s00500-005-0511-y","volume":"10","author":"H Nezamabadi-Pour","year":"2006","unstructured":"Nezamabadi-Pour, H., Saryazdi, S., Rashedi, E.: Edge detection using ant algorithms. Soft. Comput. 10(7), 623\u2013628 (2006)","journal-title":"Soft. Comput."},{"key":"39_CR15","doi-asserted-by":"crossref","unstructured":"Jevti\u0107, A., et al.: Edge detection using ant colony search algorithm and multiscale contrast enhancement. In: International Conference on Systems, Man and Cybernetics, San Antonio, Texas, USA, pp. 2193\u20132198. IEEE (2009)","DOI":"10.1109\/ICSMC.2009.5345922"},{"key":"39_CR16","doi-asserted-by":"crossref","unstructured":"Verma, O.P., Singhal, P., Garg, S., Chauhan, D.S.: Edge detection using adaptive thresholding and ant colony optimization. In: Proceedings of the World Congress Information and Communication Technologies, WICT 2011, pp. 313\u2013318 (2011)","DOI":"10.1109\/WICT.2011.6141264"},{"key":"39_CR17","doi-asserted-by":"publisher","unstructured":"Chaudhary, R., Patel, A., Kumar, S., Tomar, S.: Edge detection using particle swarm optimization technique. In: International Conference on Computing, Communication and Automation (ICCCA), pp. 363\u2013367. IEEE, Gagotias University, India (2017). https:\/\/doi.org\/10.1109\/CCAA.2017.8229843","DOI":"10.1109\/CCAA.2017.8229843"},{"issue":"11","key":"39_CR18","doi-asserted-by":"publisher","first-page":"3730","DOI":"10.1016\/j.patcog.2010.05.035","volume":"43","author":"C Lopez-Molina","year":"2010","unstructured":"Lopez-Molina, C., Bustince, H., Fernandez, J., Couto, P., De Baets, B.: A gravitational approach to edge detection based on triangular norms. Pattern Recogn. 43(11), 3730\u20133741 (2010)","journal-title":"Pattern Recogn."},{"key":"39_CR19","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-642-33018-6","volume-title":"Advances in Intelligent Systems and Computing","author":"C-M Pintea","year":"2013","unstructured":"Pintea, C.-M., Pop, P.C.: Sensor networks security based on sensitive robots agents. A conceptual model. In: Herrero, \u00c1. (ed.) Advances in Intelligent Systems and Computing, vol. 189, pp. 47\u201356. Springer, Cham (2013). https:\/\/doi.org\/10.1007\/978-3-642-33018-6"},{"key":"39_CR20","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/978-3-319-01854-6_42","volume-title":"Advances in Intelligent and Soft Computing","author":"C-M Pintea","year":"2014","unstructured":"Pintea, C.-M., Pop, P.C.: Sensitive ants for denial jamming attack on wireless sensor network. In: Herrero, \u00c1. (ed.) Advances in Intelligent and Soft Computing, vol. 239, pp. 409\u2013418. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-01854-6_42"},{"key":"39_CR21","doi-asserted-by":"crossref","unstructured":"Ticala, C., Pintea, C.-M., Ludwig, S.A., Hajdu-Macelaru, M., Matei, O., Pop, P.C.: Fuzzy index evaluating image edge detection obtained with ant colony optimization. In: FUZZ-IEEE 2022, Padua Italy. IEEE (2022, accepted paper)","DOI":"10.1109\/FUZZ-IEEE55066.2022.9882851"},{"key":"39_CR22","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/978-3-319-62524-9_8","volume-title":"Soft Computing Applications","author":"C-M Pintea","year":"2018","unstructured":"Pintea, C.-M., Matei, O., Ramadan, R.A., Pavone, M., Niazi, M., Azar, A.T.: A fuzzy approach of sensitivity for multiple colonies on ant colony optimization. In: Balas, V.E., Jain, L.C., Balas, M.M. (eds.) SOFA 2016. AISC, vol. 634, pp. 87\u201395. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-62524-9_8"},{"issue":"1040","key":"39_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/math8061040","volume":"8","author":"C Ticala","year":"2020","unstructured":"Ticala, C., Zelina, I., Pintea, C.-M.: Admissible perturbation of demicontractive operators within ant algorithms for medical images edge detection. Mathematics 8(1040), 1\u201313 (2020). https:\/\/doi.org\/10.3390\/math8061040","journal-title":"Mathematics"},{"key":"39_CR24","doi-asserted-by":"publisher","unstructured":"Ticala, C., Pintea, C.-M., Matei, O.: Sensitive ant algorithm for edge detection in medical images. Appl. Sci. 11(23), 1\u201310, Article no. 11303 (2021). https:\/\/doi.org\/10.3390\/app112311303","DOI":"10.3390\/app112311303"},{"key":"39_CR25","series-title":"Smart Innovation, Systems and Technologies","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-3-319-26860-6_7","volume-title":"Combinations of Intelligent Methods and Applications","author":"C-M Pintea","year":"2016","unstructured":"Pintea, C.-M., Ticala, C.: Medical image processing: a brief survey and a new theoretical hybrid ACO model. In: Hatzilygeroudis, I., Palade, V., Prentzas, J. (eds.) Combinations of Intelligent Methods and Applications. SIST, vol. 46, pp. 117\u2013134. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-26860-6_7"},{"key":"39_CR26","doi-asserted-by":"crossref","unstructured":"Tian, J., Yu, W., Xie, S.: An ant colony optimization algorithm for image edge detection. In: Congress on Evolutionary Computation, pp. 751\u2013756. IEEE (2008)","DOI":"10.1109\/CEC.2008.4630880"},{"issue":"3","key":"39_CR27","first-page":"337","volume":"29","author":"C Chira","year":"2010","unstructured":"Chira, C., et al.: Learning sensitive stigmergic agents for solving complex problems. Comput. Inform. 29(3), 337\u2013356 (2010)","journal-title":"Comput. Inform."},{"key":"39_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/978-3-540-77566-9_48","volume-title":"SOFSEM 2008: Theory and Practice of Computer Science","author":"C-M Pintea","year":"2008","unstructured":"Pintea, C.-M., Chira, C., Dumitrescu, D., Pop, P.C.: A sensitive metaheuristic for solving a large optimization problem. In: Geffert, V., Karhum\u00e4ki, J., Bertoni, A., Preneel, B., N\u00e1vrat, P., Bielikov\u00e1, M. (eds.) SOFSEM 2008. LNCS, vol. 4910, pp. 551\u2013559. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-77566-9_48"},{"issue":"1","key":"39_CR29","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62\u201366 (1979)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"39_CR30","unstructured":"X-Ray Hand. Vista Medical pack. License: Free for non commercial use. ID, 236487. https:\/\/www.iconspedia.com\/. Accessed 5 Aug 2021"},{"key":"39_CR31","unstructured":"Head CT. Online medical free image. https:\/\/www.libpng.org\/pub\/png\/pngvrml\/ct2.9-128x128.png. Accessed 5 Aug 2021"},{"key":"39_CR32","unstructured":"Denoise image using Deep Neural Network. MATLAB Central. https:\/\/www.mathworks.com\/help\/images\/ref\/denoiseimage.html"},{"key":"39_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/978-3-319-45507-5_6","volume-title":"Availability, Reliability, and Security in Information Systems","author":"A Holzinger","year":"2016","unstructured":"Holzinger, A., Plass, M., Holzinger, K., Cri\u015fan, G.C., Pintea, C.-M., Palade, V.: Towards interactive Machine Learning (iML): applying ant colony algorithms to solve the traveling salesman problem with the human-in-the-loop approach. In: Buccafurri, F., Holzinger, A., Kieseberg, P., Tjoa, A.M., Weippl, E. (eds.) CD-ARES 2016. LNCS, vol. 9817, pp. 81\u201395. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45507-5_6"},{"issue":"2","key":"39_CR34","doi-asserted-by":"publisher","first-page":"121","DOI":"10.37193\/CMI.2019.02.04","volume":"28","author":"A Holzinger","year":"2019","unstructured":"Holzinger, A., Plass, M., Holzinger, K., Crisan, G.C., Pintea, C.M., Palade, V.: A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop. Creative Math. Inf. 28(2), 121\u2013134 (2019)","journal-title":"Creative Math. Inf."},{"issue":"7","key":"39_CR35","doi-asserted-by":"publisher","first-page":"2401","DOI":"10.1007\/s10489-018-1361-5","volume":"49","author":"A Holzinger","year":"2019","unstructured":"Holzinger, A., et al.: Interactive machine learning: experimental evidence for the human in the algorithmic loop: a case study on ant colony optimization. Appl. Intell. 49(7), 2401\u20132414 (2019). https:\/\/doi.org\/10.1007\/s10489-018-1361-5","journal-title":"Appl. Intell."},{"key":"39_CR36","doi-asserted-by":"publisher","unstructured":"Chira, C., Pintea, C.-M., Dumitrescu, D.: Heterogeneous sensitive ant model for combinatorial optimization. In: GECCO 2008 Proceedings, Atlanta, Georgia, USA, pp. 163\u2013164 (2008). https:\/\/doi.org\/10.1145\/1389095.1389120","DOI":"10.1145\/1389095.1389120"},{"key":"39_CR37","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-3-540-74972-1_6","volume-title":"Advances in Soft Computing","author":"C Chira","year":"2008","unstructured":"Chira, C., Pintea, C.-M., Dumitrescu, D.: Sensitive stigmergic agent systems: a hybrid approach to combinatorial optimization. In: Corchado, E., et al. (eds.) Advances in Soft Computing, vol. 44, pp. 33\u201339. Springer, Cham (2008). https:\/\/doi.org\/10.1007\/978-3-540-74972-1_6"},{"key":"39_CR38","unstructured":"Chira, C., Pintea, C.-M., Dumitrescu, D.: Sensitive stigmergic agent systems. In: Tuyls, K., et al. (eds.) ALAMAS Symposium Proceedings, Maastricht, Netherlands, no. 07\u201304, pp. 51\u201357 (2007)"}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-15471-3_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T17:01:36Z","timestamp":1727974896000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-15471-3_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031154706","9783031154713"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-15471-3_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"12 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Artificial Intelligence Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salamancaa","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hais2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2022.haisconference.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":"67","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":"43","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":"64% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}