Feature Extraction and Classification of Cell Morphology in Response to the Cell Cycle

Abstract

AbstractThe cancer cell exhibits a cyclic change in its morphology, and the discussion of the cyclic change in cell morphology is very important in cytology, considering the relation between the cell growth and the distribution of the protein granules. At present, this kind of analysis is made by human observation through a microscope. This paper describes a method which recognizes the cyclic morphological changes of the cancer cell by image processing. First, various feature parameters of the nucleus and the cytoplasm are calculated by computerized image processing. In the extraction of the cell image from the original image, the binarization rather than ternarization is applied separately to the nucleus and the cytoplasm. Based on the calculated feature parameters, three decision criteria are set based on the discriminant analysis to recognize the cell morphology. As a result of experiment, the recognition rate of 93.9 percent was achieved for the training data, indicating that the cell morphology can be recognized by a computer.