{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T18:01:20Z","timestamp":1760983280313,"version":"3.37.0"},"publisher-location":"Berlin, Heidelberg","reference-count":33,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642043963"},{"type":"electronic","value":"9783642043970"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-04397-0_16","type":"book-chapter","created":{"date-parts":[[2009,9,14]],"date-time":"2009-09-14T18:24:15Z","timestamp":1252952655000},"page":"180-192","source":"Crossref","is-referenced-by-count":1,"title":["Multivariate Watershed Segmentation of Compositional Data"],"prefix":"10.1007","author":[{"given":"Michael","family":"Hanselmann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ullrich","family":"K\u00f6the","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernhard Y.","family":"Renard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Kirchner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ron M. A.","family":"Heeren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fred A.","family":"Hamprecht","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"16_CR1","unstructured":"Digabel, H., Lantu\u00e9joul, C.: Iterative algorithms. In: Proc. 2nd Europ. Symp. Quant. Anal. of Microstr. in Material Science, Biology and Medicine, pp. 85\u201399 (1978)"},{"key":"16_CR2","doi-asserted-by":"crossref","first-page":"187","DOI":"10.3233\/FI-2000-411207","volume":"41","author":"J.B.T.M. Roerdink","year":"2001","unstructured":"Roerdink, J.B.T.M., Meijster, A.: The watershed transform: Definitions, algorithms and parallelization strategies. Fundamenta Informaticae\u00a041, 187\u2013228 (2001)","journal-title":"Fundamenta Informaticae"},{"key":"16_CR3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.5566\/ias.v22.p113-120","volume":"22","author":"O. Lezoray","year":"2003","unstructured":"Lezoray, O.: Supervised automatic histogram clustering and watershed segmentation. Image Anal. Stereol.\u00a022, 113\u2013120 (2003)","journal-title":"Image Anal. Stereol."},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Chang, C.Y., Shie, W.S., Wang, J.H.: Color image segmentation via fuzzy feature tuning and feature adjustment. In: Conf. on Syst., Man & Cybernetics, vol.\u00a04, p. 6 (2002)","DOI":"10.1109\/ICSMC.2002.1173357"},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Huguet, A.B., de Andrade, M.C., Carceroni, R.L., Araujo, A.A.: Color-based watershed segmentation of low-altitude aerial images. In: 17. Brazilian Symp. on Comp. Graphics and Image Proc., pp. 138\u2013145 (2004)","DOI":"10.1109\/SIBGRA.2004.1352954"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Noyel, G., Angulo, J., Jeulin, D., Balvay, D., Cuenod, C.-A.: Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging. In: Intern. Symp. on Biomedical Imaging: From Nano to Macro, pp. 1517\u20131520 (2008)","DOI":"10.1109\/ISBI.2008.4541297"},{"key":"16_CR7","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1002\/mas.20124","volume":"26","author":"L.A. McDonnell","year":"2006","unstructured":"McDonnell, L.A., Heeren, R.M.A.: Imaging mass spectrometry. Mass Spectrometry Reviews\u00a026, 606\u2013643 (2006)","journal-title":"Mass Spectrometry Reviews"},{"issue":"6","key":"16_CR8","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.1016\/j.cell.2006.01.040","volume":"124","author":"J. Moffat","year":"2006","unstructured":"Moffat, J., et al.: A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen. Cell\u00a0124(6), 1283\u20131298 (2006)","journal-title":"Cell"},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Scheunders, P.: Multivalued image segmentation based on first fundamental form. In: Proc. of the Intern. Conf. on Image Anal. and Processing, pp. 185\u2013190 (2001)","DOI":"10.1109\/ICIAP.2001.957006"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Li, P., Xiao, X.: Evaluation of multiscale morphological segmentation of multispectral imagery for land cover classification. In: Proc. of the IEEE Geoscience and Remote Sensing Symposium, vol.\u00a04, pp. 2676\u20132679 (2004)","DOI":"10.1109\/IGARSS.2004.1369851"},{"key":"16_CR11","doi-asserted-by":"publisher","first-page":"101","DOI":"10.5566\/ias.v26.p101-109","volume":"26","author":"G. Noyel","year":"2007","unstructured":"Noyel, G., Angulo, J., Jeulin, D.: Morphological segmentation of hyperspectral images. Image Anal. Stereol.\u00a026, 101\u2013109 (2007)","journal-title":"Image Anal. Stereol."},{"key":"16_CR12","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.1016\/S0167-8655(02)00393-8","volume":"24","author":"N. Malpica","year":"2003","unstructured":"Malpica, N., Ortuno, J.E., Santos, A.: A multichannel watershed-based algorithm for supervised texture segmentation. Patt. Rec. Letters\u00a024, 1545\u20131554 (2003)","journal-title":"Patt. Rec. Letters"},{"key":"16_CR13","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1109\/TMI.2008.916962","volume":"27","author":"P.S. Karvelis","year":"2008","unstructured":"Karvelis, P.S., et al.: Region based segmentation and classification of multispectral chromosome images. IEEE Trans. on Medical Imaging\u00a027, 697\u2013708 (2008)","journal-title":"IEEE Trans. on Medical Imaging"},{"key":"16_CR14","first-page":"773","volume":"4","author":"Y. Zhang","year":"2008","unstructured":"Zhang, Y., Feng, X., Le., X.: Segmentation on multispectral remote sensing image using watershed transformation. Congr. on Image & Sign. Proc.\u00a04, 773\u2013777 (2008)","journal-title":"Congr. on Image & Sign. Proc."},{"key":"16_CR15","unstructured":"Angulo, J., Jeulin, D.: Stochastic watershed segmentation. In: Intern. Symp. on Mathematical Morphology, vol.\u00a08, pp. 265\u2013276 (2007)"},{"key":"16_CR16","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-3-540-74829-8_3","volume-title":"Knowledge-Based Intelligent Information and Engineering Systems","author":"G. Noyel","year":"2007","unstructured":"Noyel, G., Angulo, J., Jeulin, D.: Random germs and stochastic watershed for unsupervised multispectral image segmentation. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part III. LNCS (LNAI), vol.\u00a04694, pp. 17\u201324. Springer, Heidelberg (2007)"},{"key":"16_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-03939-7","volume-title":"Morphological Image Analysis","author":"P. Soille","year":"1999","unstructured":"Soille, P.: Morphological Image Analysis. Springer, Heidelberg (1999)"},{"key":"16_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-4109-0","volume-title":"The Statistical Analysis of Compositional Data. Monographs on Statistics and Applied Probability","author":"J. Aitchison","year":"1986","unstructured":"Aitchison, J.: The Statistical Analysis of Compositional Data. Monographs on Statistics and Applied Probability. Chapman and Hall, Boca Raton (1986)"},{"key":"16_CR19","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/34.87344","volume":"13","author":"L. Vincent","year":"1991","unstructured":"Vincent, L., Soille, P.: Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans. on PAMI\u00a013, 583\u2013598 (1991)","journal-title":"IEEE Trans. on PAMI"},{"key":"16_CR20","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/0165-1684(94)90060-4","volume":"38","author":"F. Meyer","year":"1994","unstructured":"Meyer, F.: Topographic distance and watersheds lines. Sig. Proc.\u00a038, 113\u2013125 (1994)","journal-title":"Sig. Proc."},{"key":"16_CR21","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Machine Learning\u00a045, 5\u201332 (2001)","journal-title":"Machine Learning"},{"key":"16_CR22","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1074\/mcp.M500233-MCP200","volume":"5","author":"P.J. Ulintz","year":"2006","unstructured":"Ulintz, P.J., Zhu, J., Qin, Z.S., Andrews, P.C.: Improved classification of mass spectrometry database search results using newer machine learning approaches. Molecular and Cellular Proteomics\u00a05, 497\u2013509 (2006)","journal-title":"Molecular and Cellular Proteomics"},{"issue":"24","key":"16_CR23","doi-asserted-by":"publisher","first-page":"9649","DOI":"10.1021\/ac801303x","volume":"80","author":"M. Hanselmann","year":"2008","unstructured":"Hanselmann, M., et al.: Concise representation of mass spectrometry images by probabilistic latent semantic analysis. Anal. Chem.\u00a080(24), 9649\u20139658 (2008)","journal-title":"Anal. Chem."},{"key":"16_CR24","doi-asserted-by":"crossref","unstructured":"Hanselmann, M., et al.: Toward Digital Staining using Imaging Mass Spectrometry and Random Forests. J. of Prot. Res. (2009) DOI: 10.1021\/pr900253y","DOI":"10.1021\/pr900253y"},{"key":"16_CR25","unstructured":"Casella, G., Berger, R.L.: Statistical Inference. Duxbury Advanced Series (2002)"},{"key":"16_CR26","doi-asserted-by":"crossref","unstructured":"Godtliebsen, F., Marron, J.S., Chaudhuri, P.: Significance in scale space for bivariate density estimation. Journal of Comp. and Graph. Stat.\u00a011, 1\u201321 (2002)","DOI":"10.1198\/106186002317375596"},{"issue":"5","key":"16_CR27","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D. Comaniciu","year":"2002","unstructured":"Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. Trans. on Patt. Anal. and Mach. Intelligence\u00a024(5), 603\u2013619 (2002)","journal-title":"Trans. on Patt. Anal. and Mach. Intelligence"},{"key":"16_CR28","doi-asserted-by":"crossref","unstructured":"Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. Proc. of the Conf. on Computer Vision, 836\u2013846 (1998)","DOI":"10.1109\/ICCV.1998.710815"},{"key":"16_CR29","doi-asserted-by":"crossref","unstructured":"Grimaud, M.: New measure of contrast: the dynamics. Image Algebra and Morphological Image Processing III, 292\u2013305 (1992)","DOI":"10.1117\/12.60650"},{"key":"16_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/978-3-540-31965-8_4","volume-title":"Discrete Geometry for Computer Imagery","author":"L. Brun","year":"2005","unstructured":"Brun, L., Mokhtari, M., Meyer, F.: Hierarchical watersheds within the combinatorial pyramid framework. In: Andr\u00e8s, \u00c9., Damiand, G., Lienhardt, P. (eds.) DGCI 2005. LNCS, vol.\u00a03429, pp. 34\u201344. Springer, Heidelberg (2005)"},{"key":"16_CR31","doi-asserted-by":"crossref","unstructured":"Baddeley, A.J.: An error metric for binary images. Robust Comp. Vis., 59\u201378 (1992)","DOI":"10.1016\/S0031-9406(10)61399-5"},{"issue":"4","key":"16_CR32","first-page":"471","volume":"13","author":"A. Rosenfeld","year":"1966","unstructured":"Rosenfeld, A., Pfaltz, J.: Sequential operations in digital picture processing. Robust Computer Vision\u00a013(4), 471\u2013494 (1966)","journal-title":"Robust Computer Vision"},{"key":"16_CR33","doi-asserted-by":"publisher","first-page":"9","DOI":"10.2307\/2312726","volume":"69","author":"D. Gale","year":"1962","unstructured":"Gale, D., Shapley, L.S.: College admissions and the stability of marriage. American Mathematical Monthly\u00a069, 9\u201314 (1962)","journal-title":"American Mathematical Monthly"}],"container-title":["Lecture Notes in Computer Science","Discrete Geometry for Computer Imagery"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-04397-0_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T04:16:51Z","timestamp":1739333811000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-04397-0_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642043963","9783642043970"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-04397-0_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}