{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T06:10:24Z","timestamp":1697868624854},"reference-count":5,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2007,3,13]],"date-time":"2007-03-13T00:00:00Z","timestamp":1173744000000},"content-version":"vor","delay-in-days":7955,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Robotic Syst."],"published-print":{"date-parts":[[1985,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>A method for detecting an ellipse in an image by use of a recursive least\u2010squares estimator is described. This method is based on classifying the behavior of parameters in a quadratic equation estimated by the estimator. The segmentation of an image is executed using a statistical measure called the adjacent separability factor. Noise elimination is performed by the expansion\u2010contraction method and a contour for each region is extracted. Points on the contour are supplied to a recursive least\u2010squares estimator in succession and the parameters in a quadratic equation are estimated recursively. It is possible to decide whether the contour is an ellipse by analyzing the behavior of an estimated parameter. A main feature of this method is the generality and the simplicity of the procedure.<\/jats:p>","DOI":"10.1002\/rob.4620020202","type":"journal-article","created":{"date-parts":[[2007,7,6]],"date-time":"2007-07-06T03:09:31Z","timestamp":1183691371000},"page":"163-177","source":"Crossref","is-referenced-by-count":34,"title":["Detection of an ellipse by use of a recursive least\u2010squares estimator"],"prefix":"10.1002","volume":"2","author":[{"given":"Tadashi","family":"Nagata","sequence":"first","affiliation":[]},{"given":"Hirotoshi","family":"Tamura","sequence":"additional","affiliation":[]},{"given":"Kohichi","family":"Ishibashi","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,13]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TC.1978.1675191"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(79)90059-1"},{"key":"e_1_2_1_4_2","unstructured":"N.Otsu \u201cMathematical Studies on Feature Extraction in Pattern Recognition \u201dRes. Elec. Tech. Lab. No. 818 (1981)."},{"key":"e_1_2_1_5_2","volume-title":"Proc. RoViSeC3","author":"Nagata T.","year":"1983"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/0146-664X(73)90011-7"}],"container-title":["Journal of Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Frob.4620020202","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/rob.4620020202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T15:49:09Z","timestamp":1697816949000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/rob.4620020202"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1985,6]]},"references-count":5,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1985,6]]}},"alternative-id":["10.1002\/rob.4620020202"],"URL":"https:\/\/doi.org\/10.1002\/rob.4620020202","archive":["Portico"],"relation":{},"ISSN":["0741-2223","1097-4563"],"issn-type":[{"value":"0741-2223","type":"print"},{"value":"1097-4563","type":"electronic"}],"subject":[],"published":{"date-parts":[[1985,6]]}}}