Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Blood Vessel Segmentation from Microcirculation Images
verfasst von : Bea Lyn M. Virtudazo, Jimmy Hasugian, Wen-Chen Lin, Mei-Fen Chen, Kang-Ping Lin
Erschienen in: Precision Medicine Powered by pHealth and Connected Health
Verlag: Springer Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Image segmentation is one of the most important steps in analysis of features in image data. In order to acquire stable image of blood vessel, frame-to-frame matching as a step in preprocessing has be made in solving the problem of motion throughout image acquisition. The purpose of this study is to extract the information of the blood vessel from microcirculation video images for the uses in further processes. This image segmentation process had done by dividing the image into two parts, which are the information of the blood vessel and the background. Through the frame-to-frame image intensity pattern based feature analysis and extraction of blood vessel in microcirculation images had used in obtaining the information needed for segmentation. The results showed solid and consistent with the perspective checking result. These segmented blood vessel images has applied for the further measurement of blood flow velocity.