细胞图像自动识别技术研究

With the wide application of digital image processing in medical areas, pattern recognition and image processing, which is used in the sum and sort counting of cells, is one of the important methods in medical-aided diagnosis.In view of the features of fecal microscopic images, the author uses edge detection and threshold segmentation to segment the images, and uses area and circularity in cell identification and classification.The experiment results show that the algorithm is effective in the recognition of fecal microscopic images, the results of the study have both theoretical and practical values.