Research Based on Fuzzy Algorithm of Cancer Cells in Pleural Fluid Microscopic Images Recognition

Abstract

This paper introduces a kind of cancer cells in pleural fluid microscopic images processing and fuzzy recognizing method. We propose a method, which firstly segments the image using the OTSU thresholding method and fuzzy edge detection, then extracts 7 measurement parameters i.e. the area rate of the karyon and cytoplasm, the optic density, the shape factor and else, finally uses fuzzy pattern recognition which is based on establishing 6 membership functions and 4 normative modes to recognize the cancer cells. Experiments show that this system provides valuable suggestions to the diagnosis of cancer.