Detection of epithelial cells in leucorrhea microscopic images based on LBP texture features

The automatic recognition of microscopic image cells in leucorrhea routine has been an unsolved problem. Epithelial cells are the main visible components in leucorrhea microscopic images, which can reflect the indicators such as cleanliness directly. Aiming at the low efficiency of subjective judgment in leucorrhea Routine, a new method for detecting epithelial cells in leucorrhea microscopic images based on texture features was proposed. Firstly, the morphological method was used to extract the foreground target such as epithelial cells. Then, the texture features of the foreground target were analyzed based on The experimental results show that LBP achieves better detection results than other texture feature extractors in recognition precision and recall rate with the precision of 89.5% and recall of 86.0% The detection efficiency is high and the detection time is 304 ms. The proposed algorithm has been applied to clinical testing, and achieved good clinical experimental results.