{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T17:50:51Z","timestamp":1673718651629},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2003,6]]},"abstract":"<jats:p> This paper proposes a technique for indexing, clustering and retrieving images based on their edge features. In this technique, images are decomposed into several frequency bands using the Haar wavelet transform. From the one-level decomposition sub-bands an edge image is formed. Next, the higher order autocorrelation function is applied on the edge image to extract the edge features. These higher order autocorrelation features are normalized to generate a compact feature vector, which is invariant to shift, image size and gray level. Then, these feature vectors are clustered by a self-organizing map (SOM) based on their edge feature similarity. The performed experiments show the high precision of this technique in clustering and retrieving images in a large image database environment. <\/jats:p>","DOI":"10.1142\/s0219691303000141","type":"journal-article","created":{"date-parts":[[2003,7,8]],"date-time":"2003-07-08T10:12:53Z","timestamp":1057659173000},"page":"163-178","source":"Crossref","is-referenced-by-count":11,"title":["Content-Based Image Retrieval Technique Using Wavelet-Based  Shift and Brightness Invariant Edge Feature"],"prefix":"10.1142","volume":"01","author":[{"given":"Masaaki","family":"Kubo","sequence":"first","affiliation":[{"name":"Graduate School of Information Science and  Electrical Engineering, Department of Intelligent Systems, Kyushu University,  6-10-1 Hakozaki, Higashi-ku,  Fukuoka-shi 812-8581, Japan"}]},{"given":"Zaher","family":"Aghbari","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and  Electrical Engineering, Department of Intelligent Systems, Kyushu University,  6-10-1 Hakozaki, Higashi-ku,  Fukuoka-shi 812-8581, Japan"}]},{"given":"Akifumi","family":"Makinouchi","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and  Electrical Engineering, Department of Intelligent Systems, Kyushu University,  6-10-1 Hakozaki, Higashi-ku,  Fukuoka-shi 812-8581, Japan"}]},{"given":"Kun-Seok","family":"Oh","sequence":"additional","affiliation":[{"name":"Department of Digital Media, Division of Information Technology, Kwangju Health College, 683-3 Shinchang-dong Kwangsan-ku  Gwangju 506-701, Korea"}]}],"member":"219","published-online":{"date-parts":[[2012,1,5]]},"reference":[{"key":"rf1","first-page":"2075","volume":"83","author":"Aghbari Z.","journal-title":"IEICE Trans. Info. Systems E"},{"key":"rf2","author":"Flickner M.","journal-title":"IEEE Computer Mag."},{"key":"rf5","first-page":"899","volume":"40","author":"Kobayakawa M.","journal-title":"IPSJ"},{"key":"rf6","doi-asserted-by":"crossref","unstructured":"J. Z.\u00a0Wang, Content-based Image Indexing and Searching Using Daubechies' Wavelets\u00a01 (Springer-Verlag, 1997)\u00a0pp. 311\u2013328.","DOI":"10.1007\/s007990050026"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1145\/304181.304217"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-97966-8"},{"key":"rf10","doi-asserted-by":"crossref","unstructured":"E.\u00a0Oja, Self-Organizing Maps for Content-Based Image Database Retrieval (Elsevier, 1997)\u00a0pp. 349\u2013362.","DOI":"10.1016\/B978-044450270-4\/50028-0"},{"key":"rf12","first-page":"1375","volume":"9","author":"Ma W.-Y.","journal-title":"IEEE Trans. Image Processing"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00078-X"}],"container-title":["International Journal of Wavelets, Multiresolution and Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219691303000141","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:30:15Z","timestamp":1565181015000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219691303000141"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,6]]},"references-count":9,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2012,1,5]]},"published-print":{"date-parts":[[2003,6]]}},"alternative-id":["10.1142\/S0219691303000141"],"URL":"https:\/\/doi.org\/10.1142\/s0219691303000141","relation":{},"ISSN":["0219-6913","1793-690X"],"issn-type":[{"value":"0219-6913","type":"print"},{"value":"1793-690X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,6]]}}}