Abstract
Leaf vein extraction is a key feature for plant recognition. An efficient leaf vein extraction method is proposed in this paper by Bi-dimensional Empirical Mode Decomposition with Gray-scale Morphology Processing (BEMD-GMP). The raw image transforms gray image firstly, the Intrinsic Mode Functions (IMF) component of the gray image is decomposed by Bi-dimensional Empirical Mode Decomposition (BEMD). We choose the first IMF component to segment venation by Gray-scale morphology operator, because the high frequency component and the noise has been removed the first IMF component. We analyzed the four different evaluation criteria for Gabor filter, Canny filter, Canny operator, Soble operator and BEMD-GMP. The experimental results show that the method of BEMD-GMP can obtain more satisfactory results.
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.
