教師資料查詢 | 類別: 會議論文 | 教師: 張誠 Feng-cheng Chang (瀏覽個人網頁)

標題:A genetic programming based scheme for combining image operators
學年100
學期2
發表日期2012/07/18
作品名稱A genetic programming based scheme for combining image operators
作品名稱(其他語言)
著者Chang, Feng-cheng; Huang, Hsiang-cheh
作品所屬單位
出版者
會議名稱2012 The Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing(IIH-MSP)
會議地點Piraeus, Greece
摘要Sophisticated image processing is usually nonlinear and difficult to model. In addition to the conventional image processing tools, we need some alternatives to bridge the gap between low-level and semantic level computation. This paper presents an idea of image processing scheme. We transform an image into different representations; feed the representations to the proper cellular automaton (CA) components to produce the information images; use the information images as the inputs to the combination program; and finally get the processed result. To identify the needed transforms, the CA transition rules, and the combination expression, we adopt genetic programming (GP) and cellular programming (CP) to search for the configuration. The searched configuration separates the parallelizable and sequential parts of the program. We don't enforce the linearity of the program, and it is likely that the searched result matches to the nonlinear nature of human semantics.
關鍵字cellular programming;genetic programming;image processing
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20120718~20120720
通訊作者
國別希臘
公開徵稿Y
出版型式紙本
出處2012 The Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp.215-218
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