Fine-grained cervical cell image three-stage identification method
A cervical cell and identification method technology, applied in the field of three-stage identification of fine-grained cervical cell images, to achieve the effect of complete identification process system and improved accuracy
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[0041] Embodiment 1: A three-stage recognition method for fine-grained cervical cell images, comprising the following steps:
[0042] (1) For the entire microscopic image of cervical cells, the three-dimensional block-matching and 3D filtering (BM3D) algorithm is used to denoise, and the speed of image preprocessing is improved by implementing BM3D based on parallel programming technology;
[0043] (2) On the filtered image, first establish a Graph Cut model to divide the image into foreground and background, and then use the MSER (Maximally Stable Extremal Region) algorithm to segment the nucleus, including the following steps:
[0044](2-1) Remove the background: on the basis of the denoised image, use the graph cut GC algorithm to remove the image background, and determine the foreground cells and cell cluster areas;
[0045] (2-2) Cell nucleus segmentation: The MSER algorithm is used to segment the cell nuclei in the foreground cells and cell cluster areas of the image.
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