{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T13:04:09Z","timestamp":1774530249896,"version":"3.50.1"},"reference-count":21,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T00:00:00Z","timestamp":1647734400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Multimedia"],"published-print":{"date-parts":[[2022,3,20]]},"abstract":"<jats:p>Lithology identification of rocks is an important part in the field of oil and gas exploration, mineral exploration, and geological analysis. How to accomplish rock classification is a key issue for the further development of the geology industry. The current main method for classifying rock pictures containing background is to select sample points or disregard the disturbance of the background. For more accurate classification, the rock part extraction method for rock images containing boundaries is designed to eliminate the influence of background. First, the rock parts are extracted based on the image gradient information and color information, respectively. Then, the two images are intersected to realize the refinement of pixel-level information to obtain a pure rock image. Ensemble ResNet18 (ERN18) is designed as an image classification model. It contains basic blocks to reduce the loss of features during the training process. The method breaks the neglect of most previous studies on background interference. The effect of misclassification in certain regions on the results is eliminated by ensemble learning based on the voting method. The classification results are further improved. Compared with the effects of LeNet, AlexNet, and ResNet, ERN18 has achieved significant results.<\/jats:p>","DOI":"10.1155\/2022\/3982892","type":"journal-article","created":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T03:16:37Z","timestamp":1647832597000},"page":"1-11","source":"Crossref","is-referenced-by-count":5,"title":["Automatic Rock Classification Algorithm Based on Ensemble Residual Network and Merged Region Extraction"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0326-1209","authenticated-orcid":true,"given":"Chenlu","family":"Guo","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0648-8436","authenticated-orcid":true,"given":"Zhiyuan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China"}]}],"member":"311","reference":[{"issue":"6","key":"1","first-page":"668","article-title":"Comparison between two methods for statistical study of detrital composition of sandstones","volume":"30","author":"S. W. Chu","year":"2007","journal-title":"Journal of Hefei University of Technology"},{"issue":"S1","key":"2","first-page":"21","article-title":"Petrochemistry characteristics and statistical analysis of ore (Cr)bearing nature of ultrabasic bodies from the Sartuohai of Xinjiang","volume":"24","author":"Y. S. Guo","year":"1988","journal-title":"Journal of Lanzhou University"},{"issue":"1","key":"3","first-page":"198","article-title":"Application of decision tree algorithm in lithologic identification of geological modeling","author":"Y. J. Wang","year":"2020","journal-title":"Urban Geotechnical Investigation & Surveying"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.gsf.2014.10.005"},{"issue":"4","key":"5","first-page":"3","article-title":"Research progress of computer vision and pattern recognition","volume":"10","author":"Z. N. Sun","year":"2019","journal-title":"E-science Technology & Application"},{"issue":"3","key":"6","first-page":"803","article-title":"Collapsing coal-rock identification based on fractal box dimension and wavelet packet energy moment","volume":"42","author":"Y. M. Li","year":"2017","journal-title":"Journal of China Coal Society"},{"issue":"2","key":"7","first-page":"611","article-title":"Application of support vector machine based on decision tree feature extraction in lithology classification","volume":"49","author":"Q. D. Han","year":"2019","journal-title":"Journal of Jilin University (Earth Science Edition)"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"issue":"2","key":"9","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"A. Krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-019-00433-9"},{"issue":"2","key":"12","first-page":"333","article-title":"Automatic identification and classification in lithology based on deep learning in rock images","volume":"34","author":"Y. Zhang","year":"2018","journal-title":"Acta Petrologica Sinica"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.3390\/math7080755"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/42.511747"},{"issue":"2","key":"15","first-page":"91","article-title":"Crack detection method of insulators based on improved canny operator","volume":"49","author":"H. R. Li","year":"2021","journal-title":"Power Grid Analysis & Study"},{"issue":"12","key":"16","first-page":"202","article-title":"Edge detection of noise image based on improved algorithm","volume":"28","author":"Z. R. Zhao","year":"2020","journal-title":"Computer Measurement & Control"},{"issue":"1","key":"17","first-page":"88","article-title":"Improvement and parallel implementation of dilation and erosion algorithms","volume":"22","author":"H. M. Du","year":"2017","journal-title":"Journal of Posts and Telecommunications"},{"issue":"20","key":"18","first-page":"38","article-title":"Research on image edge denoising algorithms based on median filtering","author":"B. Hao","year":"2019","journal-title":"Modern Computer"},{"issue":"2","key":"19","first-page":"180","article-title":"Optoelectronic convolutional neural networks based on time-stretch method","volume":"64","author":"Y. B. Zhang","year":"2021","journal-title":"Science China (Information Sciences)"},{"issue":"14","key":"20","first-page":"71","article-title":"Waste Bottle Classification system based on depth residuals network ResNet","author":"H. Wang","year":"2020","journal-title":"Science and Technology & Innovation"},{"issue":"3","key":"21","first-page":"597","article-title":"Recognition and environmental influence of speed bump based on ResNet18","volume":"54","author":"S. X. Guan","year":"2021","journal-title":"Communications Technology"}],"container-title":["Advances in Multimedia"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2022\/3982892.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2022\/3982892.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2022\/3982892.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T03:16:55Z","timestamp":1647832615000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/am\/2022\/3982892\/"}},"subtitle":[],"editor":[{"given":"Rajesh","family":"Kaluri","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,3,20]]},"references-count":21,"alternative-id":["3982892","3982892"],"URL":"https:\/\/doi.org\/10.1155\/2022\/3982892","relation":{},"ISSN":["1687-5699","1687-5680"],"issn-type":[{"value":"1687-5699","type":"electronic"},{"value":"1687-5680","type":"print"}],"subject":[],"published":{"date-parts":[[2022,3,20]]}}}