{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T07:27:47Z","timestamp":1768116467615,"version":"3.49.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T00:00:00Z","timestamp":1690243200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T00:00:00Z","timestamp":1690243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the National Science and Technology Resource Sharing Service Platform Project","award":["NCGRC-2020-57"],"award-info":[{"award-number":["NCGRC-2020-57"]}]},{"name":"the Henan Province Major Public Welfare Projects","award":["201300210300"],"award-info":[{"award-number":["201300210300"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s00371-023-02989-6","type":"journal-article","created":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T07:01:37Z","timestamp":1690268497000},"page":"2833-2855","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A registration algorithm for the infrared and visible images of apple based on active contour model"],"prefix":"10.1007","volume":"40","author":[{"given":"Haiping","family":"Si","sequence":"first","affiliation":[]},{"given":"Yunpeng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Weixia","family":"Li","sequence":"additional","affiliation":[]},{"given":"Li","family":"Wan","sequence":"additional","affiliation":[]},{"given":"Jiazhen","family":"Song","sequence":"additional","affiliation":[]},{"given":"Wenrui","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Changxia","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,25]]},"reference":[{"key":"2989_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.postharvbio.2021.111808","author":"ZP Wang","year":"2022","unstructured":"Wang, Z.P., Jin, L.Y., Wang, S., Xu, H.R.: Apple stem\/calyx real-time recognition using YOLO-v5 algorithm for fruit automatic loading system. Postharvest Biol. Technol. (2022). https:\/\/doi.org\/10.1016\/j.postharvbio.2021.111808","journal-title":"Postharvest Biol. Technol."},{"key":"2989_CR2","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.compag.2016.07.024","volume":"127","author":"J Li","year":"2016","unstructured":"Li, J., Karkee, M., Zhang, Q., Xiao, K.H., Feng, T.: Characterizing apple picking patterns for robotic harvesting. Comput. Electron. Agric. 127, 633\u2013640 (2016). https:\/\/doi.org\/10.1016\/j.compag.2016.07.024","journal-title":"Comput. Electron. Agric."},{"key":"2989_CR3","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.postharvbio.2016.04.001","volume":"118","author":"T Fadiji","year":"2016","unstructured":"Fadiji, T., Coetzee, C., Chen, L., Chukwu, O., Opara, U.L.: Susceptibility of apples to bruising inside ventilated corrugated paperboard packages during simulated transport damage. Postharvest Biol. Technol. 118, 111\u2013119 (2016). https:\/\/doi.org\/10.1016\/j.postharvbio.2016.04.001","journal-title":"Postharvest Biol. Technol."},{"key":"2989_CR4","doi-asserted-by":"publisher","DOI":"10.1111\/jfpe.13981","author":"YY Dong","year":"2022","unstructured":"Dong, Y.Y., Huang, Y.S., Xu, B.L., Li, B.C., Guo, B.: Bruise detection and classification in jujube using thermal imaging and DenseNet. J. Food Process Eng. (2022). https:\/\/doi.org\/10.1111\/jfpe.13981","journal-title":"J. Food Process Eng."},{"key":"2989_CR5","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1007\/s11694-018-9728-1","volume":"12","author":"NM Baneh","year":"2018","unstructured":"Baneh, N.M., Navid, H., Kafashan, J.: Mechatronic components in apple sorting machines with computer vision. J. Food Meas. Charact. 12, 1135\u20131155 (2018). https:\/\/doi.org\/10.1007\/s11694-018-9728-1","journal-title":"J. Food Meas. Charact."},{"key":"2989_CR6","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.inpa.2016.10.003","volume":"4","author":"P Moallem","year":"2017","unstructured":"Moallem, P., Serajoddin, A., Pourghassem, H.J.: Computer vision-based apple grading for golden delicious apples based on surface features. Inform. Process. Agric. 4, 8 (2017). https:\/\/doi.org\/10.1016\/j.inpa.2016.10.003","journal-title":"Inform. Process. Agric."},{"key":"2989_CR7","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.jfoodeng.2010.12.007","volume":"104","author":"HF Lu","year":"2011","unstructured":"Lu, H.F., Zheng, H., Hu, Y., Lou, H.Q., Kong, X.C.: Bruise detection on red bayberry (Myrica rubra Sieb. & Zucc.) using fractal analysis and support vector machine. J. Food Eng. 104, 149\u2013153 (2011). https:\/\/doi.org\/10.1016\/j.jfoodeng.2010.12.007","journal-title":"J. Food Eng."},{"key":"2989_CR8","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.jfoodeng.2017.02.008","volume":"203","author":"C Zhang","year":"2017","unstructured":"Zhang, C., Zhao, C.J., Huang, W.Q., Wang, Q.Y., Liu, S.G., Li, J.B., Guo, Z.M.: Automatic detection of defective apples using NIR coded structured light and fast lightness correction. J. Food Eng. 203, 69\u201382 (2017). https:\/\/doi.org\/10.1016\/j.jfoodeng.2017.02.008","journal-title":"J. Food Eng."},{"key":"2989_CR9","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.postharvbio.2006.06.010","volume":"42","author":"D Unay","year":"2006","unstructured":"Unay, D., Gosselin, B.: Automatic defect segmentation of \u201cJonagold\u201d apples on multi-spectral images: a comparative study. Postharvest Biol. Technol. 42, 271\u2013279 (2006). https:\/\/doi.org\/10.1016\/j.postharvbio.2006.06.010","journal-title":"Postharvest Biol. Technol."},{"key":"2989_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.postharvbio.2019.111090","author":"XY Zeng","year":"2020","unstructured":"Zeng, X.Y., Miao, Y., Ubaid, S., Gao, X.M., Zhuang, S.L.: Detection and classification of bruises of pears based on thermal images. Postharvest Biol. Technol. (2020). https:\/\/doi.org\/10.1016\/j.postharvbio.2019.111090","journal-title":"Postharvest Biol. Technol."},{"key":"2989_CR11","doi-asserted-by":"crossref","unstructured":"Li, H., Wu, X.J., Kittler, J.: Infrared and visible image fusion using a deep learning framework. In: 2018 24th international conference on pattern recognition (ICPR), (2018)","DOI":"10.1109\/ICPR.2018.8546006"},{"key":"2989_CR12","doi-asserted-by":"publisher","first-page":"4733","DOI":"10.1109\/tip.2020.2975984","volume":"29","author":"H Li","year":"2020","unstructured":"Li, H., Wu, X.J., Kittler, J.: MDLatLRR: a novel decomposition method for infrared and visible image fusion. IEEE Trans. Image Process. 29, 4733\u20134746 (2020). https:\/\/doi.org\/10.1109\/tip.2020.2975984","journal-title":"IEEE Trans. Image Process."},{"key":"2989_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01359-2","author":"JY Ma","year":"2021","unstructured":"Ma, J.Y., Jiang, X.Y., Fan, A.X., Jiang, J.J., Yan, J.C.: Image matching from handcrafted to deep features: a survey. Int. J. Comput. Vis. (2021). https:\/\/doi.org\/10.1007\/s11263-020-01359-2","journal-title":"Int. J. Comput. Vis."},{"key":"2989_CR14","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.inffus.2021.02.012","volume":"73","author":"XY Jiang","year":"2021","unstructured":"Jiang, X.Y., Ma, J.Y., Xiao, G.B., Shao, Z.F., Guo, X.J.: A review of multimodal image matching: methods and applications. Inform. Fus. 73, 22\u201371 (2021). https:\/\/doi.org\/10.1016\/j.inffus.2021.02.012","journal-title":"Inform. Fus."},{"key":"2989_CR15","doi-asserted-by":"publisher","first-page":"2559","DOI":"10.1109\/tpwrd.2020.3011962","volume":"36","author":"Q Jiang","year":"2021","unstructured":"Jiang, Q., Liu, Y.D., Yan, Y.J., Deng, J., Fang, J., Li, Z., Jiang, X.C.: A contour angle orientation for power equipment infrared and visible image registration. IEEE Trans. Power Deliv. 36, 2559\u20132569 (2021). https:\/\/doi.org\/10.1109\/tpwrd.2020.3011962","journal-title":"IEEE Trans. Power Deliv."},{"key":"2989_CR16","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.biosystemseng.2018.06.013","volume":"174","author":"H Gan","year":"2018","unstructured":"Gan, H., Lee, W.S., Alchanatis, V.: A photogrammetry-based image registration method for multi-camera systems\u2014with applications in images of a tree crop. Biosys. Eng. 174, 89\u2013106 (2018). https:\/\/doi.org\/10.1016\/j.biosystemseng.2018.06.013","journal-title":"Biosys. Eng."},{"key":"2989_CR17","doi-asserted-by":"publisher","DOI":"10.3390\/app12062828","author":"S Liu","year":"2022","unstructured":"Liu, S., Yang, B., Wang, Y., Tian, J.W., Yin, L.R., Zheng, W.F.: 2D\/3D multimode medical image registration based on normalized cross-correlation. Appl. Sci. (2022). https:\/\/doi.org\/10.3390\/app12062828","journal-title":"Appl. Sci."},{"key":"2989_CR18","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.compag.2010.04.007","volume":"73","author":"XZ Wang","year":"2010","unstructured":"Wang, X.Z., Yang, W.P., Wheaton, A., Cooley, N., Moran, B.: Automated canopy temperature estimation via infrared thermography: a first step towards automated plant water stress monitoring. Comput. Electron. Agric. 73, 74\u201383 (2010). https:\/\/doi.org\/10.1016\/j.compag.2010.04.007","journal-title":"Comput. Electron. Agric."},{"key":"2989_CR19","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1109\/tmi.2009.2021843","volume":"29","author":"D Loeckx","year":"2010","unstructured":"Loeckx, D., Slagmolen, P., Maes, F., Vandermeulen, D., Suetens, P.: Nonrigid image registration using conditional mutual information. IEEE Trans. Med. Imag. 29, 19\u201329 (2010). https:\/\/doi.org\/10.1109\/tmi.2009.2021843","journal-title":"IEEE Trans. Med. Imag."},{"key":"2989_CR20","doi-asserted-by":"publisher","DOI":"10.3390\/rs10111719","author":"YY Dong","year":"2018","unstructured":"Dong, Y.Y., Jiao, W.L., Long, T.F., He, G.J., Gong, C.J.: An extension of phase correlation-based image registration to estimate similarity transform using multiple polar fourier transform. Remote Sens. (2018). https:\/\/doi.org\/10.3390\/rs10111719","journal-title":"Remote Sens."},{"key":"2989_CR21","doi-asserted-by":"publisher","first-page":"4132","DOI":"10.1109\/tgrs.2019.2961245","volume":"58","author":"L Pallotta","year":"2020","unstructured":"Pallotta, L., Giunta, G., Clemente, C.: Subpixel SAR image registration through parabolic interpolation of the 2-D cross correlation. IEEE Trans. Geosci. Remote Sens. 58, 4132\u20134144 (2020). https:\/\/doi.org\/10.1109\/tgrs.2019.2961245","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2989_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-014-0040-2","author":"JM Deng","year":"2014","unstructured":"Deng, J.M., Yue, H.Z., Zhuo, Z.Z., Yan, H.G., Liu, D., Li, H.Y.: A stationary wavelet transform based approach to registration of planning CT and setup cone beam-CT images in radiotherapy. J. Med. Syst. (2014). https:\/\/doi.org\/10.1007\/s10916-014-0040-2","journal-title":"J. Med. Syst."},{"key":"2989_CR23","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4365\/ac7232","author":"B Liang","year":"2022","unstructured":"Liang, B., Chen, X., Yu, L., Feng, S., Guo, Y.F., Cao, W.D., Dai, W., Yang, Y.F., Yuan, D.: High-precision multichannel solar image registration using image intensity. Astrophys. J. Suppl. Ser. (2022). https:\/\/doi.org\/10.3847\/1538-4365\/ac7232","journal-title":"Astrophys. J. Suppl. Ser."},{"key":"2989_CR24","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/b:Visi.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60, 91\u2013110 (2004). https:\/\/doi.org\/10.1023\/b:Visi.0000029664.99615.94","journal-title":"Int. J. Comput. Vis."},{"key":"2989_CR25","doi-asserted-by":"publisher","unstructured":"Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.J.C.V.: Computer vision and image understanding, I.: speeded-up robust features (SURF).110, 346-359 (2008). https:\/\/doi.org\/10.1016\/j.cviu.2007.09.014","DOI":"10.1016\/j.cviu.2007.09.014"},{"key":"2989_CR26","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: 2011 international conference on computer vision, (2011)","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"2989_CR27","doi-asserted-by":"publisher","first-page":"8875","DOI":"10.1007\/s11042-018-6580-6","volume":"78","author":"CZ Lv","year":"2019","unstructured":"Lv, C.Z., Wu, Y.S., Fan, D., Lu, X.S.: Fast registration of UAV aerial images based on improved optical-flow model combined with feature-point matching. Multimed. Tools Appl. 78, 8875\u20138887 (2019). https:\/\/doi.org\/10.1007\/s11042-018-6580-6","journal-title":"Multimed. Tools Appl."},{"key":"2989_CR28","doi-asserted-by":"publisher","first-page":"4441","DOI":"10.1109\/jstars.2021.3073573","volume":"14","author":"K Yu","year":"2021","unstructured":"Yu, K., Zheng, X., Fang, B., An, P., Huang, X., Luo, W., Ding, J.F., Wang, Z., Ma, J.: Multimodal urban remote sensing image registration via roadcross triangular feature. Ieee J. Select. Top. Appl. Earth Observ. Remote Sens. 14, 4441\u20134451 (2021). https:\/\/doi.org\/10.1109\/jstars.2021.3073573","journal-title":"Ieee J. Select. Top. Appl. Earth Observ. Remote Sens."},{"key":"2989_CR29","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1109\/lgrs.2019.2899123","volume":"16","author":"HH Chang","year":"2019","unstructured":"Chang, H.H., Wu, G.L., Chiang, M.H.: Remote sensing image registration based on modified SIFT and feature slope grouping. IEEE Geosci. Remote Sens. Lett. 16, 1363\u20131367 (2019). https:\/\/doi.org\/10.1109\/lgrs.2019.2899123","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"2989_CR30","doi-asserted-by":"publisher","first-page":"5898479","DOI":"10.1155\/2022\/5898479","volume":"2022","author":"K Ejaz","year":"2022","unstructured":"Ejaz, K., Arif, M., Rahim, M.S.M., Izdrui, D., Craciun, D.M., Geman, O.: Confidence region identification and contour detection in MRI image. Comput. Intell. Neurosci. 2022, 5898479 (2022). https:\/\/doi.org\/10.1155\/2022\/5898479","journal-title":"Comput. Intell. Neurosci."},{"key":"2989_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2020.103549","author":"X Chen","year":"2020","unstructured":"Chen, X., Liu, L., Zhang, J.Z., Shao, W.B.: Registration of multimodal images with edge features and scale invariant PIIFD. Infrared Phys. Technol. (2020). https:\/\/doi.org\/10.1016\/j.infrared.2020.103549","journal-title":"Infrared Phys. Technol."},{"key":"2989_CR32","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s00138-017-0879-6","volume":"29","author":"YJ Chen","year":"2018","unstructured":"Chen, Y.J., Zhang, X.W., Zhang, Y.N., Maybank, S.J., Fu, Z.P.: Visible and infrared image registration based on region features and edginess. Mach. Vis. Appl. 29, 113\u2013123 (2018). https:\/\/doi.org\/10.1007\/s00138-017-0879-6","journal-title":"Mach. Vis. Appl."},{"key":"2989_CR33","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1007\/s11554-019-00858-x","volume":"17","author":"Q Zeng","year":"2020","unstructured":"Zeng, Q., Adu, J.H., Liu, J.X., Yang, J.X., Xu, Y.P., Gong, M.: Real-time adaptive visible and infrared image registration based on morphological gradient and C_SIFT. J. Real-Time Image Proc. 17, 1103\u20131115 (2020). https:\/\/doi.org\/10.1007\/s11554-019-00858-x","journal-title":"J. Real-Time Image Proc."},{"key":"2989_CR34","doi-asserted-by":"publisher","DOI":"10.3390\/rs13224618","author":"XP Zhang","year":"2021","unstructured":"Zhang, X.P., He, Z.Z., Ma, Z., Wang, Z.X., Wang, L.: LLFE: a novel learning local features extraction for UAV navigation based on infrared aerial image and satellite reference image matching. Remote Sens. (2021). https:\/\/doi.org\/10.3390\/rs13224618","journal-title":"Remote Sens."},{"key":"2989_CR35","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.isprsjprs.2017.12.012","volume":"145","author":"S Wang","year":"2018","unstructured":"Wang, S., Quan, D., Liang, X.F., Ning, M.D., Guo, Y.H., Jiao, L.C.: A deep learning framework for remote sensing image registration. ISPRS J. Photogramm. Remote Sens. 145, 148\u2013164 (2018). https:\/\/doi.org\/10.1016\/j.isprsjprs.2017.12.012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"2989_CR36","doi-asserted-by":"publisher","first-page":"1727","DOI":"10.1007\/s11517-016-1460-6","volume":"54","author":"M Valenti","year":"2016","unstructured":"Valenti, M., Ferrigno, G., Martina, D., Yu, W.M., Zheng, G.Y., Shandiz, M.A., Anglin, C., De Momi, E.: Gaussian mixture models based 2D\u20133D registration of bone shapes for orthopedic surgery planning. Med. Biol. Eng. Comput. 54, 1727\u20131740 (2016). https:\/\/doi.org\/10.1007\/s11517-016-1460-6","journal-title":"Med. Biol. Eng. Comput."},{"key":"2989_CR37","doi-asserted-by":"publisher","DOI":"10.3390\/app9224838","author":"YJ Chen","year":"2019","unstructured":"Chen, Y.J., He, P., Gao, M., Zhang, E.H.: Automatic feature region searching algorithm for image registration in printing defect inspection systems. Appl. Sci. (2019). https:\/\/doi.org\/10.3390\/app9224838","journal-title":"Appl. Sci."},{"key":"2989_CR38","unstructured":"Ministry of Commerce of the People's Republic of China: Fresh apple (National standards of the People's Republic of China GB10651\u201389). Ministry of Commerce of the People's Republic of China, Beijing (1989)."},{"key":"2989_CR39","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.postharvbio.2009.04.006","volume":"53","author":"P Baranowski","year":"2009","unstructured":"Baranowski, P., Mazurek, W., Witkowska-Walczak, B., Slawinski, C.: Detection of early apple bruises using pulsed-phase thermography. Postharvest Biol. Technol. 53, 91\u2013100 (2009). https:\/\/doi.org\/10.1016\/j.postharvbio.2009.04.006","journal-title":"Postharvest Biol. Technol."},{"key":"2989_CR40","doi-asserted-by":"crossref","unstructured":"Jianmin, Z., Qixian, Z., Juanjuan, L., Dongdong, X.: Design of on-line detection system for apple early bruise based on thermal properties analysis. In: 2010 international conference on intelligent computation technology and automation, (2010)","DOI":"10.1109\/ICICTA.2010.568"},{"key":"2989_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114948","author":"B Dong","year":"2021","unstructured":"Dong, B., Weng, G.R., Jin, R.: Active contour model driven by self organizing maps for image segmentation. Expert Syst. Appl. (2021). https:\/\/doi.org\/10.1016\/j.eswa.2021.114948","journal-title":"Expert Syst. Appl."},{"key":"2989_CR42","doi-asserted-by":"publisher","first-page":"7739","DOI":"10.1016\/j.apm.2016.03.039","volume":"40","author":"CC Huang","year":"2016","unstructured":"Huang, C.C., Zeng, L.: Level set evolution model for image segmentation based on variable exponent p-Laplace equation. Appl. Math. Model. 40, 7739\u20137750 (2016). https:\/\/doi.org\/10.1016\/j.apm.2016.03.039","journal-title":"Appl. Math. Model."},{"key":"2989_CR43","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.ins.2018.02.007","volume":"447","author":"JQ Miao","year":"2018","unstructured":"Miao, J.Q., Huang, T.Z., Zhou, X.B., Wang, Y.G., Liu, J.: Image segmentation based on an active contour model of partial image restoration with local cosine fitting energy. Inf. Sci. 447, 52\u201371 (2018). https:\/\/doi.org\/10.1016\/j.ins.2018.02.007","journal-title":"Inf. Sci."},{"key":"2989_CR44","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1002\/cpa.3160420503","volume":"42","author":"D Mumford","year":"1989","unstructured":"Mumford, D., Shah, J.J.C.O.P.: Optimal approximations by piecewise smooth functions and associated variational problems. Commun. pure Appl. Math. 42, 577\u2013685 (1989). https:\/\/doi.org\/10.1002\/cpa.3160420503","journal-title":"Commun. pure Appl. Math."},{"key":"2989_CR45","doi-asserted-by":"crossref","unstructured":"Osher, S., Sethian, J.a.J.J.O.C.P.: Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. 79, 12-49 (1988). 1016\/0021\u20139991(88)90002\u20132","DOI":"10.1016\/0021-9991(88)90002-2"},{"key":"2989_CR46","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Trans. Image Process. 10, 266\u2013277 (2001). https:\/\/doi.org\/10.1109\/83.902291","journal-title":"IEEE Trans. Image Process."},{"key":"2989_CR47","doi-asserted-by":"publisher","first-page":"5885","DOI":"10.1109\/tsp.2017.2742981","volume":"65","author":"B Gao","year":"2017","unstructured":"Gao, B., Xu, Z.Q.: Phaseless recovery using the gauss-newton method. IEEE Trans. Signal Process. 65, 5885\u20135896 (2017). https:\/\/doi.org\/10.1109\/tsp.2017.2742981","journal-title":"IEEE Trans. Signal Process."},{"key":"2989_CR48","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1007\/s11263-018-1117-z","volume":"127","author":"JY Ma","year":"2019","unstructured":"Ma, J.Y., Zhao, J., Jiang, J.J., Zhou, H.B., Guo, X.J.: Locality preserving matching. Int. J. Comput. Vision 127, 512\u2013531 (2019). https:\/\/doi.org\/10.1007\/s11263-018-1117-z","journal-title":"Int. J. Comput. Vision"},{"key":"2989_CR49","doi-asserted-by":"publisher","first-page":"2007","DOI":"10.1109\/tip.2011.2146190","volume":"20","author":"CM Li","year":"2011","unstructured":"Li, C.M., Huang, R., Ding, Z.H., Gatenby, J.C., Metaxas, D.N., Gore, J.C.: A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Trans. Image Process. 20, 2007\u20132016 (2011). https:\/\/doi.org\/10.1109\/tip.2011.2146190","journal-title":"IEEE Trans. Image Process."},{"key":"2989_CR50","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.1016\/j.sigpro.2009.03.014","volume":"89","author":"L Wang","year":"2009","unstructured":"Wang, L., He, L., Mishra, A., Li, C.M.: Active contours driven by local Gaussian distribution fitting energy. Signal Process. 89, 2435\u20132447 (2009). https:\/\/doi.org\/10.1016\/j.sigpro.2009.03.014","journal-title":"Signal Process."},{"key":"2989_CR51","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1016\/j.compmedimag.2009.04.010","volume":"33","author":"L Wang","year":"2009","unstructured":"Wang, L., Li, C.M., Sun, Q.S., Xia, D.S., Kao, C.Y.: Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation. Comput. Med. Imag. Graph. 33, 520\u2013531 (2009). https:\/\/doi.org\/10.1016\/j.compmedimag.2009.04.010","journal-title":"Comput. Med. Imag. Graph."},{"key":"2989_CR52","doi-asserted-by":"publisher","first-page":"3243","DOI":"10.1109\/tip.2010.2069690","volume":"19","author":"CM Li","year":"2010","unstructured":"Li, C.M., Xu, C.Y., Gui, C.F., Fox, M.D.: Distance regularized level set evolution and its application to image segmentation. IEEE Trans. Image Process. 19, 3243\u20133254 (2010). https:\/\/doi.org\/10.1109\/tip.2010.2069690","journal-title":"IEEE Trans. Image Process."},{"key":"2989_CR53","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-61808-3","author":"N Moshkov","year":"2020","unstructured":"Moshkov, N., Mathe, B., Kertesz-Farkas, A., Hollandi, R., Horvath, P.: Test-time augmentation for deep learning-based cell segmentation on microscopy images. Sci. Rep. (2020). https:\/\/doi.org\/10.1038\/s41598-020-61808-3","journal-title":"Sci. Rep."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02989-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-023-02989-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02989-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T17:12:03Z","timestamp":1712337123000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-023-02989-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,25]]},"references-count":53,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["2989"],"URL":"https:\/\/doi.org\/10.1007\/s00371-023-02989-6","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,25]]},"assertion":[{"value":"18 June 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}