Abstract
There is a huge demand for objective on-farm techniques, which would enable identification of the ‘outliers’ of sheep for the purpose of breeding selection, reducing the fineness (or diameter) of woolgrowers’ flocks with greater confidence, and maintaining the uniform quality throughout the wool clips. In this study, the concept of texture analysis based on Gabor filtering is employed and textural features are extracted from the images of wool staples with different fineness. It is justified by the experiments that those textural features are rotation invariant and also sensitive to the fineness of wool staples and efficient in discrimination of wool staples with different fineness. Since it requires minimum manual operations, this approach has a great potential to be applied on farm or in shearing shed.
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.
