An External Contour Extraction Method for Pollen Images

Abstract

Pollen allergy has become a common seasonal disease in northern China. This project studies the influence of airborne pollen on allergic rhinitis patients in Inner Mongolia. Through collecting pollen samples, obtaining pollen images, preprocessing and contour extraction, the processed pollen images are more in line with the requirements of deep image processing. In the preprocessing of pollen image, bilateral filter is used to remove noise on the basis of preserving important information of the image, and then canny operator is used for edge detection. According to the edge detection information, the external contour of pollen is extracted. The whole study enables us to understand the pollen shape characteristics more intuitively, which is the most prepared for the subsequent pollen image depth prediction, and provides the necessary learning tools for clinical medical personnel to learn and understand pollen.