{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,22]],"date-time":"2023-10-22T21:12:18Z","timestamp":1698009138111},"reference-count":9,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":7749,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1986,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper discusses the application of two\u2010dimensional dynamic programming (DP) matching to ultrasonic kidney images. By introducing the model\u2010matching technique, feature extraction of the object organ is achieved. It is also possible to reconstruct the three\u2010dimensional structure of the organ. The proposed technique has the following features. (1) Unlike the monotone continuous condition employed in speech recognition, the two\u2010dimensional DP method has no time\u2010sequence constraints. (2) The recognition performance is improved by utilizing the edge information. (3) Hierarchical construction of DP from coarse to fine grids improves the processing speed. (4) The method allows man\u2010machine interaction by fixing a point on the contour of the object. (5) The method can be applied to time\u2010series and\/or three\u2010dimensional consecutive images and the speed is improved by using the object from the previous image.<\/jats:p>","DOI":"10.1002\/scj.4690170806","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T12:27:57Z","timestamp":1183811277000},"page":"50-59","source":"Crossref","is-referenced-by-count":4,"title":["Recognition of human kidney ultrasonic organ images by two\u2010dimensional dp matching method"],"prefix":"10.1002","volume":"17","author":[{"given":"Hiromitsu","family":"Yamada","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuhiko","family":"Yamamoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masahiko","family":"Matsuura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","first-page":"1603","article-title":"Sequential optimization in pattern recognition and pattern description","volume":"68","author":"Kovalevsky V. 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