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Computer and Computing Technologies in Agriculture IX 9th IFIP WG 5.14 International Conference, CCTA 2015 Beijing, China, September 27–30, 2015, Part I |
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Conference papers
The Milk Somatic Cell Image Segmentation Method Based on Dimension Reduction and Fusion
Abstract : Milk somatic cell image segmentation has a very important effect on milk quality analysis. In this paper, a new segmentation method is proposed for color milk somatic cell image. Aiming at the milk somatic cell image, a new method for image segmentation is proposed. First of all, selecting the appropriate color components by reducing the dimension of RGB color image; Then using the k-means algorithm to segment the low dimension image; Finally, the segmented images are fused by the region splitting and merging process. The experimental results show that the proposed method is better than the original three-dimensional (3D) color space segmentation method. The method improves in the performance and running time, the correct segmentation rate reached 98.4 %. Therefore, this method has certain feasibility.
Cited literature [9 references]
https://hal.inria.fr/hal-01557807
Contributor : Hal Ifip <>
Submitted on : Thursday, July 6, 2017 - 3:49:51 PM
Last modification on : Thursday, July 6, 2017 - 3:54:12 PM
Long-term archiving on: : Wednesday, January 24, 2018 - 2:40:15 AM
Contributor : Hal Ifip <>
Submitted on : Thursday, July 6, 2017 - 3:49:51 PM
Last modification on : Thursday, July 6, 2017 - 3:54:12 PM
Long-term archiving on: : Wednesday, January 24, 2018 - 2:40:15 AM
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