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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.
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Jie Bai, Heru Xue, yanqing Zhou. The Milk Somatic Cell Image Segmentation Method Based on Dimension Reduction and Fusion. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.580-586, ⟨10.1007/978-3-319-48357-3_55⟩. ⟨hal-01557807⟩



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