Open snake model based on global guidance field for embryo vessel location. Issue 2 (8th November 2017)

• Record Type: Journal Article
• Authors: Xie, Weicheng; Duan, Jinming; Shen, Linlin; Li, Yuexiang; Yang, Meng; Lin, Guojun
• Is Part Of: IET computer vision. Volume 12:Issue 2(2018)
• Page Start: 129
• Page End: 137
• Publication Date: 2017-11-08
• Subjects: object detection -- optimisation -- edge detection -- biomedical MRI -- bioinformatics -- blood vessels; open snake model -- global guidance field -- embryo vessel location -- vessel development -- animal embryos growth status -- automatic deformed vessel branch localization -- deformation template initialisation -- embryo vessel database -- vessel region extraction -- snake shape optimisation; Computer vision -- Periodicals; Pattern recognition systems -- Periodicals; 006.37
• DOI: 10.1049/iet-cvi.2016.0411
• Languages: English
• ISSNs: 1751-9632

Abstract

Abstract : The development of vessels can provide important information about the growth status of animal embryos. It is, therefore, important to automatically locate the deformed vessel branches from the embryo images. However, very few vessel detectors can accurately locate all vessel branches when the captured images are low quality and the implied vessel shapes are complex. In this study, a new framework consisting of vessel region extraction and snake shape optimisation is proposed. The main contribution in this detector is a novel open snake model based on the global guidance field and deformation template initialisation. Experimental results on a specific application of an embryo vessel database [Database and source codes: https://github.com/wcxie/Egg‐embryro‐vessel‐location/ .] demonstrate that the proposed algorithm not only locates the vessel shape properly but also obtains the orientations of embryo vessel branches accurately. Comparison to traditional guidance fields and the active appearance model illustrates the effectiveness and competitiveness of the proposed model.