In this work is proposed a general algorithm to design event reconstruction of chemical/physical process to elaborate nanostructures through anodization in small pieces of aluminum, in order to get Aluminum Oxide (AAO) simples ready to be characterized, furthermore to be integrated as sensors of physical variables. By studying the evolution of border’s curves composed of figures from AAO sample, which is captured through Scanning Electron Microscope (SEM) is possible to make an integration in 3 dimensions (3D), furthermore the 3D figure obtained can be explained through mathematical model to estimate its geometrical evolution after physical/chemical reactions. In this work, there are analyzed images from every stage of the process to elaborate nanostructures based on AAO templates, such as for example the following sequence: image before cleaning process, images before electro polishing, images before anodization process; and finally, images after anodization which are expected to obtain a kind of nanostructures. Every image were processed studying [1], [8] in order to obtain a mathematical equation as reference to understand the geometry of the 3D structure based on its 2D image for every stage. By other side, with this information and processing every stage image, it was achieved a mathematical equation to describe the geometry of the structure between stages by “Optimal Prediction analysis” that is so important to get understanding of the structure geometry with internal process.