Year-end Sale % OFF 
Abstract
Abstract Edge detection is an important process in many classes of engineering problems. An edge is a boundary between two regions. In the edge detection process, the input is a grayscale image while the output image is a binary image showing edge and non-edge pixels. As a state of art, methods are based on gradient operator, but the accuracy level is poor. Therefore, in recent past soft computing based methods are proposed which are more accurate, still, these methods fail to detect some of the true edges. In this paper, the two-level approach is adopted for edge detection, firstly image edges are enhanced using guided image filtering, and secondly on these enhanced images enhanced ant colony optimization method is applied for edge detection.
Published Version
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.
