Abstract
The aim of this paper is to introduce a modified method by integrating the traditional isolated connected algorithm, which is based on SRG (Seeded Region Growing), with the texture gradient. To extend the method’s application, we not only obtained the boundary and the internal structure of 150 CT images of trabecular bone of mice, but also gained grasshoppers’ spore images which have no obscure texture. The experiment shows that this method can obtain the boundary and the internal structure of the desired part of the biomedical images quickly and reliably. It has practical value in biomedical image analysis.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
