For the development and application of tea flower, the segmentation and counting of tea flower is fast completed by the comprehensive utilization of color and improved region growth algorithm. First, the original RGB color image of tea-leaves is converted into HSI color space, and processed the image enhancement, after the hue H is calculated based on feature hue convergence, the image is converted back to RGB color space; after that the application of improved fast region growth and merging algorithm is applied to select the seeds according to the R, G parameters of tea flower, the region growth is carried to the seed region based on the color similarity and region adjacency, and the region growth and merging are carried out by combining color distance and merging rules. Finally, the segmentation and counting of tea flower is completed. The experimental results show that the algorithm has good connectivity and can be easily and quickly segmented multiple tea flowers from tea-leaves images.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.