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成像测井裂缝自动识别元胞自动机方法研究
引用本文:张群会,师玉璞,陈有兰. 成像测井裂缝自动识别元胞自动机方法研究[J]. 西安科技大学学报, 2012, 0(6): 772-775
作者姓名:张群会  师玉璞  陈有兰
作者单位:西安科技大学计算机科学与技术学院,陕西西安710054
摘    要:针对成像测井裂缝自动识别任务,提出了一种基于元胞自动机模型的图像识别算法。以成像测井图像中裂缝的灰度值较大并且裂缝基本连续为依据,通过制定免疫规则建立了一个基于元胞自动机模型的成像测井裂缝自动识别模型,基于元胞自动机的局部规则以及其并行计算的机制,进行成像测井裂缝的自动识别。该模型原理简单,并且易于实现。实验结果表明,通过指定的免疫规则,能够达到很好的裂缝识别效果。

关 键 词:元胞自动机  成像测井  裂缝识别  演化规则  免疫机制

Automatic identification of crack in imaging logging based on cellular automaton
ZHANG Qun-hui,SHI Yu-pu,CHEN You-lan. Automatic identification of crack in imaging logging based on cellular automaton[J]. JOurnal of XI’an University of Science and Technology, 2012, 0(6): 772-775
Authors:ZHANG Qun-hui  SHI Yu-pu  CHEN You-lan
Affiliation:( College of Computer Science and Engineering,Xi' an University of Science and Technology, Xi' an 710054, China)
Abstract:This paper put forward image recognition algorithm based on cellular automata model to accomplish automatic identification of crack in imaging logging. The automatic identification model of crack imaging logging based on the cellular automata is established according to the features of crack that are great grey value and basic continuous in the imaging logging image. Meanwhile the local-rules and the mechanism of parallel computing are adopted to identify cracks in imaging logging image. The model proposed in this paper is simple and easy to realize. Experiments show that the result is very good based on the immune rules defined in this paper.
Keywords:cellular automata  image logging  fracture identification  evolution rules  immune mechanism
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