Ichnofabric characterization in cores : a method of digital image treatment
Ichnofabric characterization in cores : a method of digital image treatment
复制标题
岩芯的结构特征：数字图像处理方法
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
J. Dorador
中科院分区：
文献类型：
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作者：
F. Rodríguez;J. Dorador
遗迹组构分析作为一种相对年轻的遗迹学方法，近年来发展迅速，在盆地分析中显示出其实用性，特别是在古环境解释方面。遗迹组构的方法已经从描述微量成分和生物扰动的强度发展到整合关于众多遗迹组构特征的详细信息，例如原生沉积结构、遗迹多样性、遗迹特征、横切关系或分层结构。这一发展与其在深海沉积物研究中的应用有关，特别是在岩心研究中，由于岩心的特殊性，这并不容易。本文提出了一种基于数字高分辨率图像处理的现代海洋岩心遗迹组构表征方法，重点是遗迹组构属性的量化。所提出的方法是基于三个图像调整的修改（图像调整），估计生物扰动所占面积的百分比（数字估计）、遗迹化石和宿主沉积物填充物的横向和纵向像素值的量化和比较（像素计数），以及整合在遗迹组构的视觉表示（遗迹组构表示）中获得的信息。这些建议步骤的顺序应用允许，1）更好地识别遗迹化石，连同交叉关系船舶和遗迹化石组合的特征，2）估计与每个遗迹分类群，整个遗迹群落或完整遗迹组构相关的生物扰动年龄百分比，3）生物变形构造和遗迹化石之间的区分，遗迹分类群之间的区分，被动和主动填充结构之间的区别，以及4）特定示踪剂的穿透深度的评估。
Ichnofabric analysis, as a relatively young ichnological approach, has witnessed rapid growth, showing its usefulness in basin analysis, with special attention to palaeoenvironmental interpretations. The ichnofabric approach has evolved from the description of trace composition and the intensity of bioturbation to integrate detailed information on numerous ichnofabric features, such as primary sedimentary structures, ichnological diversity, ichnological features, cross-cutting relation ships or tiering structures. This development has been associated with its application to the study of deep-sea sediments, especially in research on cores, which is not easy, owing to the particular features of cores. Here a method for improving ichnofabric characterization in modern marine cores is presented, on the basis of digital high-resolution image treatment, with special emphasis on the quantification of ichnofabric attributes. The proposed methodology is based on the modification of three image adjustments ( image adjustment ), the estimation of the percentage of the area occupied by bioturbation ( digital estimation ), the lateral and vertical quantification and comparison of pixel values for the infill of the trace fossils and the host sediment ( pixel counting ), and the integration of the information obtained in the visual representations of ichnofabrics (the ichnofabric representation ). The sequential application of these proposed steps allow, 1) better identification of trace fossils, together with cross-cutting relation ships and the characterization of trace-fossil assemblages, 2) estimation of the percent age of bioturbation associated to each ichnotaxon, the whole ichnocoenosis, or a complete ichnofabric, 3) differentiation between biodeformational structures and trace fossils, discrimination between ichnotaxa, distinction between passively and actively infilled structures, and 4) evaluation of the depth of penetration by particular tracemakers.