成像测井裂缝自动识别元胞自动机方法研究

摘要

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.%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.