Abstract
The study is devoted to the processing and analysis of medical experiment data as part of the task of segmenting biological structures in images obtained from the endoscope camera. A review of methods for improving the brightness characteristics of images, segmentation and edge detection is presented. As a result of the research, a computational technique has been developed for segmentation and edge detection in medical images based on shearlet transform and color coding. Experimental studies have been carried out to solve the problems of segmentation and contour detection in images obtained as a result of medical experiments. Testing of the technique showed high accuracy in identifying the boundaries of objects of interest taking into account the depth of the studied tissues.
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.
