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 en
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 GRC
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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