https://scholars.lib.ntu.edu.tw/handle/123456789/289464
標題: | Image representation by self-organizing conformal network | 作者: | Tai, W.-P. CHENG-YUAN LIOU |
公開日期: | 2000 | 卷: | 16 | 期: | 2 | 起(迄)頁: | 91-105 | 來源出版物: | Visual Computer | 摘要: | Conformal mappings are incorporated into the self-organization model to represent images harmonically. This network is used to partition an image into quadrilateral regions, where each region contains similar features. We then map each region to a corresponding square region to unify information representation and facilitate computations. This mapping is constructed to preserve spatial information while complying with the conformal property of the network. An approximated image in each square region provides us with an effective representation of the image in both modeling and compression applications. This approach has been particularly developed for large continues images. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-0033703835&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/289464 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033703835&doi=10.1007%2fs003710050199&partnerID=40&md5=a5b711fce512a2acb32a5a990e71b10a |
ISSN: | 01782789 | DOI: | 10.1007/s003710050199 | SDG/關鍵字: | Algorithms; Approximation theory; Computer simulation; Conformal mapping; Harmonic analysis; Image compression; Image reconstruction; Integral equations; Mathematical models; Neural networks; Partial differential equations; Vector quantization; Image modeling; Image partitioning; Image representation; Self organizing network; Image segmentation |
顯示於: | 資訊工程學系 |
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