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14 August 2019 Fast segmentation of tea flowers based on color and region growth
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Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111790R (2019) https://doi.org/10.1117/12.2539682
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
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.
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Jian Wang, Shuo-Guo Li, and Cheng Yang "Fast segmentation of tea flowers based on color and region growth", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111790R (14 August 2019); https://doi.org/10.1117/12.2539682
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