{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:47:13Z","timestamp":1773438433203,"version":"3.50.1"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,8,30]],"date-time":"2012-08-30T00:00:00Z","timestamp":1346284800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EURASIP J. Adv. Signal Process."],"published-print":{"date-parts":[[2012,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Pavement crack detection plays an important role in pavement maintaining and management. The three-dimensional (3D) pavement crack detection technique based on laser is a recent trend due to its ability of discriminating dark areas, which are not caused by pavement distress such as tire marks, oil spills and shadows. In the field of 3D pavement crack detection, the most important thing is the accurate extraction of cracks in individual pavement profile without destroying pavement profile. So after analyzing the pavement profile signal characteristics and the changeability of pavement crack characteristics, a new method based on the sparse representation is developed to decompose pavement profile signal into a summation of the mainly pavement profile and cracks. Based on the characteristics of the pavement profile signal and crack, the mixed dictionary is constructed with an over-complete exponential function and an over-complete trapezoidal membership function, and the signal is separated by learning in this mixed dictionary with a matching pursuit algorithm. Some experiments were conducted and promising results were obtained, showing that we can detect the pavement crack efficiently and achieve a good separation of crack from pavement profile without destroying pavement profile.<\/jats:p>","DOI":"10.1186\/1687-6180-2012-191","type":"journal-article","created":{"date-parts":[[2012,8,30]],"date-time":"2012-08-30T16:42:55Z","timestamp":1346344975000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Pavement crack characteristic detection based on sparse representation"],"prefix":"10.1186","volume":"2012","author":[{"given":"Xiaoming","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianping","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mantao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,8,30]]},"reference":[{"issue":"3","key":"266_CR1","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1061\/(ASCE)0733-947X(1990)116:3(280)","volume":"116","author":"T Fukuhara","year":"1990","unstructured":"Fukuhara T, Terada K, Nagao M, Kasahara A, Ichihashi S: Automatic pavement-distress-survey system. ASCE J. Transport. Eng. 1990, 116(3):280-286. 10.1061\/(ASCE)0733-947X(1990)116:3(280)","journal-title":"ASCE J. Transport. Eng"},{"issue":"2","key":"266_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1117\/1.2172917","volume":"45","author":"J Zhou","year":"2006","unstructured":"Zhou J, Huang PS, Chiang FP: Wavelet-based pavement distress detection and evaluation. Opt. Eng. 2006, 45(2):1-10.","journal-title":"Opt. Eng"},{"issue":"1","key":"266_CR3","first-page":"1","volume":"47","author":"G Wang","year":"2008","unstructured":"Wang G, Xu XW, Xian L, He AZ: Algorithm based on the finite ridgelet transform for enhancing faint pavement cracks. Opt.Eng. 2008, 47(1):1-10.","journal-title":"Opt.Eng"},{"key":"266_CR4","first-page":"12","volume-title":"Proc. automated pavement distress data collection Seminar","author":"R Copp","year":"1990","unstructured":"Copp R: Field test of three video distress recognition systems. In Proc. automated pavement distress data collection Seminar. , Iowa; 1990:12-15."},{"key":"266_CR5","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1117\/12.370251","volume":"3835","author":"L Bursanescu","year":"1999","unstructured":"Bursanescu L, Hamdi M: Three-dimensional laser ranging image reconstruction using three-line laser sensors and fuzzy methods . Proc. SPIE. 1999, 3835: 106-117.","journal-title":"Proc. SPIE"},{"issue":"4","key":"266_CR6","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1061\/(ASCE)0887-3801(1999)13:4(270)","volume":"13","author":"HD Cheng","year":"1999","unstructured":"Cheng HD, Chen JR, Glazier C, Hu YG: Novel approach to pavement cracking detection based on fuzzy set theory. Comput. Civ. Eng. 1999, 13(4):270-280. 10.1061\/(ASCE)0887-3801(1999)13:4(270)","journal-title":"Comput. Civ. Eng"},{"key":"266_CR7","first-page":"21","volume-title":"Proc. on pavement evaluation conference","author":"C Kelvin","year":"2002","unstructured":"Kelvin C, Wang P, Gong WS: Automated pavement distress survey: a review and a new direction. In Proc. on pavement evaluation conference. , Virginia; 2002:21-25."},{"key":"266_CR8","first-page":"11","volume-title":"Report for national cooperative highway research program(synthesis 334), transportation research board of the national academies","author":"KH Mcghee","year":"2004","unstructured":"Mcghee KH: Automated pavement distress collection techniques-a synthesis of highway practice. In Report for national cooperative highway research program(synthesis 334), transportation research board of the national academies. , ; 2004:11-14."},{"issue":"8","key":"266_CR9","doi-asserted-by":"publisher","first-page":"9442","DOI":"10.1016\/j.eswa.2011.01.089","volume":"38","author":"H Zakeri","year":"2011","unstructured":"Zakeri H: An optimum feature extraction method based on wavelet-radon transform and dynamic neural network for pavement distress classification. Expert. Syst. Appl. 2011, 38(8):9442-9460. 10.1016\/j.eswa.2011.01.089","journal-title":"Expert. Syst. Appl"},{"issue":"1","key":"266_CR10","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1061\/(ASCE)TE.1943-5436.0000051","volume":"136","author":"YC Tsai","year":"2010","unstructured":"Tsai YC, Kaul V: Critical assessment of pavement distress segmentation methods. J. Transport. Eng. 2010, 136(1):11-19. 10.1061\/(ASCE)TE.1943-5436.0000051","journal-title":"J. Transport. Eng"},{"key":"266_CR11","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1117\/12.432808","volume":"4430","author":"L Bursanescu","year":"2001","unstructured":"Bursanescu L, Bursanescu M, Hamdi M: Three-dimensional infrared laser vision system for road surface features analysis. Proc SPIE 2001, 4430: 801-808.","journal-title":"Proc SPIE"},{"issue":"7","key":"266_CR12","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1016\/j.optlaseng.2006.12.007","volume":"45","author":"Y Si-Jie","year":"2007","unstructured":"Si-Jie Y, Sreenvias R, Sukumar : 3D reconstruction of road surfaces using an integrated multi-sensory approach. Opt. Lasers Eng. 2007, 45(7):808-818. 10.1016\/j.optlaseng.2006.12.007","journal-title":"Opt. Lasers Eng"},{"issue":"1","key":"266_CR13","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.imavis.2004.07.006","volume":"23","author":"F Zhou","year":"2005","unstructured":"Zhou F, Zhang G: Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations. Image. Vis. Comput. 2005, 23(1):59-67. 10.1016\/j.imavis.2004.07.006","journal-title":"Image. Vis. Comput"},{"key":"266_CR14","first-page":"311","volume-title":"Proc. Int. Conf. On recent advances in 3-D digital imaging and modeling","author":"L Bursanescu","year":"1997","unstructured":"Bursanescu L: Automated pavement distress data collection and analysis: a 3-D approach. In Proc. Int. Conf. On recent advances in 3-D digital imaging and modeling. , Ottawa, Canada; 1997:311-317."},{"key":"266_CR15","volume-title":"Proc. 6th Int. Symp. on Pavement Surface Characteristics","author":"J Laurent","year":"2008","unstructured":"Laurent J, Lefebvre D, Samson E: Development of a new 3D transverse laser profiling system for the automatic measurement of road cracks. In Proc. 6th Int. Symp. on Pavement Surface Characteristics. , Portoroz, Slovenia; 2008."},{"key":"266_CR16","first-page":"388","volume-title":"Proc. IAPR workshop on machine vision applications","author":"J Laurent","year":"2002","unstructured":"Laurent J: High performance 3D sensors for the characterization of road surface defects. In Proc. IAPR workshop on machine vision applications. , Nara, Japan; 2002:388-391."},{"key":"266_CR17","first-page":"303","volume-title":"International Conference on Recent Advances in 3-D Digital Imaging and Modeling","author":"J Laurent","year":"1997","unstructured":"Laurent J: Road surface inspection using laser scanners for the high precision 3D measurements of large flat surfaces. In International Conference on Recent Advances in 3-D Digital Imaging and Modeling. , Ottawa, Canada; 1997:303-310."},{"issue":"5","key":"266_CR18","doi-asserted-by":"publisher","first-page":"1808","DOI":"10.1109\/TSA.2005.858540","volume":"14","author":"L Daudet","year":"2006","unstructured":"Daudet L: Sparse and structured decompositions of signals with the molecular matching pursuit. IEEE Trans. Audio Speech Lang. Process 2006, 14(5):1808-1816.","journal-title":"IEEE Trans. Audio Speech Lang. Process"},{"issue":"10","key":"266_CR19","doi-asserted-by":"publisher","first-page":"2231","DOI":"10.1109\/TIT.2004.834793","volume":"50","author":"J Tropp","year":"2004","unstructured":"Tropp J: Greed is good: algorithmic results for sparse approximation. IEEE Trans. Inform. Theory 2004, 50(10):2231-2242. 10.1109\/TIT.2004.834793","journal-title":"IEEE Trans. Inform. Theory"},{"issue":"11","key":"266_CR20","doi-asserted-by":"publisher","first-page":"4311","DOI":"10.1109\/TSP.2006.881199","volume":"54","author":"M Aharon","year":"2006","unstructured":"Aharon M, Elad M, Bruckstein A: K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Signal. Process. 2006, 54(11):4311-4322.","journal-title":"IEEE Trans. Signal. Process"},{"issue":"11","key":"266_CR21","doi-asserted-by":"publisher","first-page":"3397","DOI":"10.1109\/78.258082","volume":"41","author":"S Mallat","year":"1993","unstructured":"Mallat S, Zhang Z: Matching pursuit with time-frequency dictionaries. IEEE Trans. Signal Process 1993, 41(11):3397-3415.","journal-title":"IEEE Trans. Signal Process"}],"container-title":["EURASIP Journal on Advances in Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1687-6180-2012-191.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1687-6180-2012-191\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1687-6180-2012-191.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T19:38:48Z","timestamp":1630525128000},"score":1,"resource":{"primary":{"URL":"https:\/\/asp-eurasipjournals.springeropen.com\/articles\/10.1186\/1687-6180-2012-191"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,30]]},"references-count":21,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,12]]}},"alternative-id":["266"],"URL":"https:\/\/doi.org\/10.1186\/1687-6180-2012-191","relation":{},"ISSN":["1687-6180"],"issn-type":[{"value":"1687-6180","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,8,30]]},"assertion":[{"value":"8 March 2012","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2012","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 August 2012","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"191"}}