Abstract
The number of various milk somatic cells can be calculated accurately by using image processing technology. In order to identify four kinds of cells,a method of milk somatic cell recognition based on dichotomy model was proposed. Firstly, eight typical morphological features were extracted from cells. Some morphological features were selected by feature optimization and Bayes classifier was used twice to carry out two binary classification. The texture feature described by HOG and BP neural network were uesd on the last classify. Finally, 96.02% of the average classification accuracy was achieved in the actual experiment of milk somatic cell image data.
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 callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: 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.
