{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T02:22:38Z","timestamp":1649211758352},"reference-count":8,"publisher":"World Scientific Pub Co Pte Lt","issue":"11","funder":[{"name":"the Shenzhen Basic Research Project"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:p> A novel image matching algorithm based on both Taguchi method and spatial clustering is proposed to optimize the Scale Invariant Feature Transform (SIFT) matching results. To improve the matching accuracy, adaptive spatial clustering is used. What is more, in order to get the fitting parameters to balance matching accuracy and quantity, Taguchi method is adopted to optimize the key parameter combination including the ratio threshold of Euclidean distance and the constrain parameters in the process of adaptive spatial clustering. Moreover, signal-to-noise ratio (SNR) results are analyzed by variance to get the effect factor which is taken as the basis for the selection of optimized parameters. The optimum parameters combination is obtained eventually. The final experimental results show that the matching quality based on SIFT feature are improved significantly. <\/jats:p>","DOI":"10.1142\/s021800141755014x","type":"journal-article","created":{"date-parts":[[2017,4,12]],"date-time":"2017-04-12T06:40:43Z","timestamp":1491979243000},"page":"1755014","source":"Crossref","is-referenced-by-count":4,"title":["Image Matching Optimization Based on Taguchi Method and Adaptive Spatial Clustering with SIFT Features"],"prefix":"10.1142","volume":"31","author":[{"given":"Yuan","family":"Xu","sequence":"first","affiliation":[{"name":"Shenzhen Key Laboratory of Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen 518000, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hehui","family":"Lu","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen 518000, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Defu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen 518000, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiongbin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen 518000, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianguo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen Zhenhua Microelectronics CO., LTD, 2\/F, W1-B Building, High-tech Industrial Park, Nanshan District, Shenzhen, 518057, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,4,11]]},"reference":[{"key":"S021800141755014XBIB003","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2341173"},{"issue":"6","key":"S021800141755014XBIB005","first-page":"381","volume":"24","author":"Fischler M. A.","year":"1981","journal-title":"ACM Graphics Image Process"},{"issue":"8","key":"S021800141755014XBIB007","first-page":"275","volume":"6","author":"Tasirin S. Kalthom","year":"2012","journal-title":"Aust. J. Basic Appl. 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