Image segmentation with fast distance transform (FDT) and morphological skeleton in microalgae Raceway culture systems applications

Image segmentation is an important process in digital image analysis, there are several algorithms to carry out this process. In this work, an algorithm little studied in the segmentation of images is defined and that is also applicable in the processing of videos of biological systems, especially, the cultivation of microalgae in Raceway bioreactors. This algorithm is known as the Fast Distance Transform (FDT) and when operating it with the morphological skeleton, an algorithm capable of determining the number of objects in an image. Performs a separation when there is agglomeration due to the quantity and proximity of the objects and rebuild them regardless of the geometric shape they present, through the maximum points of brightness, centroids and area. With the above, it is possible to give individual monitoring, to describe the behavior of microalgae inside a Raceway bioreactor.