Leukocyte automatic positioning detection and classification identification system and method

Abstract

The invention discloses a leukocyte automatic positioning detection and classification identification system and method. The method is characterized in that a low-power objective lens and a high-powerobjective lens are adopted to shoot a leukocyte microscopic image in turn, and according to the color attribute and distribution sparsity of the leukocyte microscopic image, an HSV transformation andprojection segmentation method is utilized to automatically locate the position of leukocyte in the image shot by the low-power objective lens; through collision detection of the area bounding box, the walking path and the shooting position of the objective table are determined during shooting of the high-power objective lens, the data acquisition speed is increased, the motion position and the path length of the objective table are reduced, and it is guaranteed that a complete leukocyte image is shot; a deep separable convolutional neural network model is adopted to classify and identify white blood cells, so that the network operation efficiency is improved. The method provided by the invention has the advantages of high leukocyte positioning detection precision, high data acquisition efficiency, high classification and recognition accuracy and the like.

Description

technical field [0001] The invention relates to the technical field of medical device detection, in particular to a white blood cell detection and classification recognition system and method using image analysis. Background technique [0002] Leukocytes in human blood include monocytes, lymphoid cells, basophils, neutrophils, and eosinophils. In healthy conditions, the concentration of white blood cells and the ratio of various white blood cells remain relatively stable. Once pathology occurs, it can cause changes in the concentration ratio, shape and texture of white blood cells. For example: when the body suffers from bacterial infection and neutrophils increase; when the immune function in the body goes wrong or canceration occurs, the biologically active substances of lymphocytes will change. Therefore, in the clinical application of medicine, changes in the number, shape and proportion of white blood cells can reflect the pathological conditions of the body, and can ...

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Problems solved by technology

In the convolution process, two operations are added, which actually reduces the network execution efficiency

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