Processing Technology in Microscopic Images of Cancer Cells in Pleural Fluid Based on Fuzzy Edge Detection Method

摘要

The traditional manual method of cancer cell recognizing requests a long period of diagnoses. In order to improve the efficiency and veracity of diagnoses, this article applies technology of image processing to analysis and recognition of cancer cell image. This article uses the fuzzy edge extraction, which is based on the OTSU threshold to process the original image of the cancer cells in pleural fluid, and then extracts the feature of the cancer cells according to the morphology automatically. The experiment shows that features such as area rate of karyon and cytoplasm, karyon division, shape of karyon and so on will provide evidences for diagnoses and will improve the efficiency and veracity of diagnoses.