{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T23:40:02Z","timestamp":1715816402324},"reference-count":15,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,4,1]]},"abstract":"<p>In this paper, a pattern recognition module that makes use of 3-D images of objects is presented. The proposed module takes advantage of both the generalization capability of neural networks and the possibility of manipulating 3-D images to generate views at different poses of the object that is to be recognized. This allows the construction of a robust 3-D object recognition module that can find use in various applications including military, biomedical and mine detection applications. The paper proposes an efficient training procedure and decision making strategy for the suggested neural network. Sample results of testing the module on 3-D images of several objects are also included along with an insightful discussion of the implications of the results.<\/p>","DOI":"10.4018\/ijsda.2013040105","type":"journal-article","created":{"date-parts":[[2013,8,2]],"date-time":"2013-08-02T17:31:57Z","timestamp":1375464717000},"page":"66-79","source":"Crossref","is-referenced-by-count":5,"title":["A Probabilistic Neural Network-Based Module for Recognition of Objects from their 3-D Images"],"prefix":"10.4018","volume":"2","author":[{"given":"Onsy A.","family":"Abdel Alim","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Beirut University, Beirut, Lebanon"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amin","family":"Shoukry","sequence":"additional","affiliation":[{"name":"Computer Department, Egyptian Japanese University of Science and Technology (EJUST), Alexandria, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neamat A.","family":"Elboughdadly","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gehan","family":"Abouelseoud","sequence":"additional","affiliation":[{"name":"Department of Engineering, Alexandria University, Alexandria, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"ijsda.2013040105-0","doi-asserted-by":"publisher","DOI":"10.1109\/72.623216"},{"key":"ijsda.2013040105-1","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","author":"C.Bishop","year":"1995","journal-title":"Neural networks for pattern recognition"},{"key":"ijsda.2013040105-2","doi-asserted-by":"crossref","unstructured":"Colla, C., Juez Fernandez, A., Garanzini, S., & Marelli, M. (2010). Diagnostic by imaging: 3D GPR investigation of brick masonry and post-tensioned concrete. In Proceedings of the 2010 13th International Conference on Ground Penetrating Radar (GPR).","DOI":"10.1109\/ICGPR.2010.5550175"},{"key":"ijsda.2013040105-3","unstructured":"Ekstein, R. (1997). Anti-personal mine detection- signal processing and detection principles. Master Thesis, VUB-ETRO department. Retrieved from http:\/\/etro.vub.ac.be\/minedet\/groundbase\/publications\/html\/publications.html"},{"key":"ijsda.2013040105-4","author":"B.Gold","year":"2000","journal-title":"Speech and audio signal processing"},{"key":"ijsda.2013040105-5","author":"E.Gose","year":"1996","journal-title":"Pattern recognition and image analysis"},{"key":"ijsda.2013040105-6","doi-asserted-by":"crossref","unstructured":"Hamid, I., Senousy, H., & Abou-Elmakarem, M. (2008). An improved fuzzy logic controller for ship steering based on Ior operator and neural rule extraction. Faculty of Engineering - Ain Shams University, Computer Engineering & Systems Department Cairo, Egypt","DOI":"10.1109\/ICCES.2008.4773034"},{"key":"ijsda.2013040105-7","author":"S.Haykin","year":"2008","journal-title":"Neural networks and learning machines"},{"key":"ijsda.2013040105-8","doi-asserted-by":"publisher","DOI":"10.1109\/21.256541"},{"key":"ijsda.2013040105-9","unstructured":"Johansson, U. (2007). Obtaining accurate and comprehensible data mining models \u2013An evolutionary approach. Link\u00f6ping Studies in Science and Technology, Dissertation No. 1086, Department of Computer and Information Science, Link\u00f6pings universitet, SE-581 83 Link\u00f6ping, Sweden."},{"key":"ijsda.2013040105-10","doi-asserted-by":"crossref","unstructured":"Poggio T. (1990). A network that learns to recognize three-dimensional objects. Letters to Nature, 343.","DOI":"10.1038\/343263a0"},{"key":"ijsda.2013040105-11","doi-asserted-by":"publisher","DOI":"10.1109\/6.490058"},{"key":"ijsda.2013040105-12","doi-asserted-by":"publisher","DOI":"10.1109\/NNSP.1991.239511"},{"key":"ijsda.2013040105-13","unstructured":"Sarle, W. S. (1997). ai-faq\/neural-nets\/part1. Retrieved from ftp:\/\/ftp.sas.com\/pub\/neural\/FAQ.html"},{"key":"ijsda.2013040105-14","unstructured":"Senousy, H., & Abou-El, M. (2008). New reliable neural-based automatic diesel fault diagnosis systems. In Proceedings of the International Conference on Mechanical Engineering and Production MDP9, Cairo, Egypt."}],"container-title":["International Journal of System Dynamics Applications"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=78752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T23:27:24Z","timestamp":1715815644000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijsda.2013040105"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2013,4,1]]},"references-count":15,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2013,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijsda.2013040105","relation":{},"ISSN":["2160-9772","2160-9799"],"issn-type":[{"value":"2160-9772","type":"print"},{"value":"2160-9799","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,4,1]]}}}