The present work of the degree of the Master in Bioengineering aims to give continuity to the research in this field of the BASPI-FootLab laboratory, requiring the development of strategies for the classification of heat maps on the plantar surface, through the design and development of a classifier or classification algorithm from the processing of thermographic images and video, with the purpose of contributing to the international research of the STANDUP project and adding a module in the DIAPETICS patent, projects led by professor Martha Lucia Zequera Diaz from the BASPI-FootLab laboratory. The anonymized image bank used for the development of this work corresponds to records obtained from a group of 20 volunteers who participate in the STANDUP project, following the regulations approved by the Research and Ethics Committee of the Faculty of Engineering in the laboratory , and implementing the FootLab Thermographic Video and Image Acquisition Protocol with the use of two different cameras: FLUKE Ti32 (320x240 pixels) and FLIR ONE PRO of third generation (160x120 pixels), performing a semiautomatic segmentation based on the 32 different regions of interest in the digital template developed by BASPI-FootLab; fundamental tool of the implemented technology DIAPETICS, and comparing them with the regions of interest established in the literature and used in the project under development STANDUP (7 regions), in this way, three characteristics were extracted based on the variation of the temperature on the plantar surface in both feet: correlation, distribution and recovery, in order to find possible areas of risk of ulceration.