{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T02:49:05Z","timestamp":1747190945941,"version":"3.40.5"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T00:00:00Z","timestamp":1660608000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science and Technology Planning Project of Nanyang","award":["KJGG102","212102210492"],"award-info":[{"award-number":["KJGG102","212102210492"]}]},{"name":"Special Research and Development and Promotion Project of Henan Province","award":["KJGG102","212102210492"],"award-info":[{"award-number":["KJGG102","212102210492"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2022,8,16]]},"abstract":"<jats:p>Image classification and recognition has a very wide range of applications in computer vision, which involves many fields, such as image retrieval, image analysis, and robot positioning. Especially with the rise of brain science and cognitive science research, as well as the increasing diversification of imaging means, three-dimensional image data mainly based on magnetic resonance image plays an increasingly important role in image classification and recognition, especially in medical image classification and recognition. However, due to the high dimensional characteristics of human magnetic resonance images, human readability is reduced. Therefore, classification and recognition of 3-dimensional images is still a challenge. In order to better extract local features from images and effectively use their spatial information, this paper improved the \u201cfeature bag\u201d and \u201cspatial pyramid matching\u201d algorithms on the basis of 3D feature extraction algorithm and proposed an image classification framework based on 3D feature extraction algorithm. Firstly, the multiresolution \u201c3D spatial pyramid\u201d algorithm, the multiscale image segmentation and image representation method, and the SVM classifier and feature fusion method are described. Secondly, the gender information contained in the magnetic resonance images is classified and recognized on the three databases selected in the experiment. Experimental results show that this method can effectively utilize the spatial information of three-dimensional images and achieve satisfactory results in the classification and recognition of human magnetic resonance images.<\/jats:p>","DOI":"10.1155\/2022\/5859925","type":"journal-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T21:50:13Z","timestamp":1660686613000},"page":"1-14","source":"Crossref","is-referenced-by-count":1,"title":["Research on Image Classification and Key Technologies Based on 3D Feature Extraction Algorithm"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2880-2625","authenticated-orcid":true,"given":"Lei","family":"Lei","sequence":"first","affiliation":[{"name":"School of Computer and Software, Nanyang Institute of Technology, Nanyang 473000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqi","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Computer and Software, Nanyang Institute of Technology, Nanyang 473000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zechen","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer and Software, Nanyang Institute of Technology, Nanyang 473000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/4\/2\/R02"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-50943-9_25"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-4284-5_23"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.22270\/jddt.v10i3-s.4105"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-823395-5.00001-X"},{"key":"6","doi-asserted-by":"crossref","DOI":"10.1007\/11414353","volume-title":"Lecture Notes in Computer Science Cognitive Vision Systems","author":"H. 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