{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:30Z","timestamp":1750220310305,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T00:00:00Z","timestamp":1642118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Intelligent Terminal Key Laboratory of Sichuan Province Open Project","award":["SCITLAB-0016"],"award-info":[{"award-number":["SCITLAB-0016"]}]},{"name":"Intelligent Terminal Key Laboratory of Sichuan Province Open Project","award":["SCITLAB-0009"],"award-info":[{"award-number":["SCITLAB-0009"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62075031"],"award-info":[{"award-number":["62075031"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,14]]},"DOI":"10.1145\/3512353.3512361","type":"proceedings-article","created":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T17:25:06Z","timestamp":1647278706000},"page":"48-54","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-level Efficient Perception Network for Grain's Edge Detection of Cross-polarized Petrographic Images"],"prefix":"10.1145","author":[{"given":"Jiazhou","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, China"}]},{"given":"Ping","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, China"}]},{"given":"Wen","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Geosciences and Environmental Engineering, SouthWest Jiaotong University, China"}]},{"given":"Liu","family":"Pu","sequence":"additional","affiliation":[{"name":"School of Geophysics, Chengdu University of Technology, China and Bureau of Geophysical Prospecting Inc., China National Petroleum Corporation, China"}]},{"given":"Xinyi","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, China"}]},{"given":"Yilong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, China"}]}],"member":"320","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/0098-3004(95)00129-8"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0098-3004(98)00054-5"},{"key":"e_1_3_2_1_3_1","volume-title":"Identification of mineral grains in a petrographic thin section using phi-and max-images. Mathematical geology, 36, 7","author":"Zhou Y.","year":"2004","unstructured":"Zhou , Y. , Starkey , J. , & Mansinha , L. Identification of mineral grains in a petrographic thin section using phi-and max-images. Mathematical geology, 36, 7 ( 2004 ), 781-801. Zhou, Y., Starkey, J., & Mansinha, L. Identification of mineral grains in a petrographic thin section using phi-and max-images. Mathematical geology, 36, 7 (2004), 781-801."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2006.12.007"},{"key":"e_1_3_2_1_5_1","volume-title":"A new intelligent method for minerals segmentation in thin sections based on a novel incremental color clustering. Computers & geosciences, 81","author":"Izadi H.","year":"2015","unstructured":"Izadi , H. , Sadri , J. , & Mehran , N. A. A new intelligent method for minerals segmentation in thin sections based on a novel incremental color clustering. Computers & geosciences, 81 ( 2015 ), 38-52. Izadi, H., Sadri, J., & Mehran, N. A. A new intelligent method for minerals segmentation in thin sections based on a novel incremental color clustering. Computers & geosciences, 81 (2015), 38-52."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8297009"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2018.03.010"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2014.07.002"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.petrol.2019.106382"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.marpetgeo.2020.104518"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2021.104778"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.622"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00395"},{"volume-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. (2020)","author":"Poma X. S.","key":"e_1_3_2_1_15_1","unstructured":"Poma , X. S. , Riba , E. , & Sappa , A. Dense extreme inception network: Towards a robust cnn model for edge detection . In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. (2020) , 1923-1932. Poma, X. S., Riba, E., & Sappa, A. Dense extreme inception network: Towards a robust cnn model for edge detection. In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. (2020), 1923-1932."},{"key":"e_1_3_2_1_16_1","volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861","author":"Howard A. G.","year":"2017","unstructured":"Howard , A. G. , Zhu , M. , Chen , B. , Kalenichenko , D. , Wang , W. , Weyand , T. , ... & Adam , H. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 ( 2017 ). Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., ... & Adam, H. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)."},{"key":"e_1_3_2_1_17_1","volume-title":"Efficientnetv2: Smaller models and faster training. arXiv preprint arXiv:2104.00298","author":"Tan M.","year":"2021","unstructured":"Tan , M. , & Le , Q. V. Efficientnetv2: Smaller models and faster training. arXiv preprint arXiv:2104.00298 ( 2021 ). Tan, M., & Le, Q. V. Efficientnetv2: Smaller models and faster training. arXiv preprint arXiv:2104.00298 (2021)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_20_1","volume-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","author":"Chen L. C.","year":"2017","unstructured":"Chen , L. C. , Papandreou , G. , Kokkinos , I. , Murphy , K. , & Yuille , A. L. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs . IEEE transactions on pattern analysis and machine intelligence, 40, 4 ( 2017 ), 834-848. Chen, L. C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence, 40, 4 (2017), 834-848."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_1_22_1","first-page":"1","article-title":"Detection based upon Neural Approximation Characteristics","volume":"1","author":"Manoj Kumar Singh","year":"2013","unstructured":"Manoj Kumar Singh , Image Reconstruction and Edge Detection based upon Neural Approximation Characteristics . Journal of Image and Graphics , 1 , 1 ( 2013 ), 12-16. Manoj Kumar Singh, Image Reconstruction and Edge Detection based upon Neural Approximation Characteristics. Journal of Image and Graphics, 1, 1 (2013), 12-16.","journal-title":"Journal of Image and Graphics"},{"key":"e_1_3_2_1_23_1","first-page":"135","article-title":"Entropy and the Canny Operator","volume":"2","author":"Yuexiang Li","unstructured":"Yuexiang Li , Siu-Yeung Cho and John Crowe, A Hybrid Edge Detection Method for Cell Images Based on Fuzzy Entropy and the Canny Operator . Journal of Image and Graphics , 2 , 2 (2014): 135 - 139 . Yuexiang Li, Siu-Yeung Cho and John Crowe, A Hybrid Edge Detection Method for Cell Images Based on Fuzzy Entropy and the Canny Operator. Journal of Image and Graphics, 2, 2 (2014): 135-139.","journal-title":"Journal of Image and Graphics"}],"event":{"name":"APIT 2022: 2022 4th Asia Pacific Information Technology Conference","acronym":"APIT 2022","location":"Virtual Event Thailand"},"container-title":["2022 4th Asia Pacific Information Technology Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512353.3512361","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3512353.3512361","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:11:42Z","timestamp":1750191102000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512353.3512361"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,14]]},"references-count":23,"alternative-id":["10.1145\/3512353.3512361","10.1145\/3512353"],"URL":"https:\/\/doi.org\/10.1145\/3512353.3512361","relation":{},"subject":[],"published":{"date-parts":[[2022,1,14]]},"assertion":[{"value":"2022-03-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}