| Autors: Megel Y., Kutsenko A., Blagov, I. H., Kovalenko Sv., Kovalenko Se., Malko M., Rybalka An. Title: “Information System for Automating Processes of Biological Objects Detection, Recognition, and Measurement” Keywords: Computer vision , Radiation effects , Laser theory , Image c Abstract: The article briefly describes the existing and proposes novel approaches to the detection, estimation of the number and measurement of physical parameters of biological objects in the frames of computer vision systems. The object detection method is based on a two-stage algorithm: at the first stage, the approximate position of the object is determined using edge detection algorithms; at the second stage, graphic models of the object are built by creating graphical primitives. An algorithm for constructing graphical primitives is developed using the color of a biological object as a parameter. The presence of the second stage can significantly reduce both false positive and false negative results. To implement the presented model theoretical studies and practical experiments are carried out. During experiments, it was revealed that the proposed approach allows increasing the accuracy of determining biological objects, since it works with a color image and, accordingly, uses the ranges References Issue
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Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science
