A great deal of research has been carried out by biologists, pathologists, as well as biomedical physicists on the studies of the metamorphosis in various types of cells with symptoms of cancerous disease [1-8]. Color and texture of the cell and their interrelationships are important features for analyzing cells and prove successful to differentiate abnormal from normal ones. However, to categorize the abnormal (or suspicious) cell into cancerous or non-cancerous ones, more informations rather than those obtained only from the observations on the microscopic images of the smear are needed, and therefore, further step, such as biopsy etc., has to be taken.
In this paper, color image processing technique is introduced as a means to enhance the visualization and diagnostic capability of an human expert, and hope that it would come out to be an effective tool in identifying the non-cancerous cells from the cancerous ones even when they looks alike under microscope due to some reasons.
A real microscopic image is first resolved into several spectral-component images. More and useful features are extracted respectively from 0.4 to 0.5 urn, 0.5 to 0.6 urn, and 0.6 to 0.7 urn spectral bands. Combination of these different spectral-band images after separate processings will derive a color image, which will sharpen the distinguishing features between cancerous and non-cancerous cells, even when they all look alike originally both morphologically and chromatically under the microscope.
In this paper some recent promising results obtained with real color image processing in our laboratory are given. To improve the resolution, 512 x 512
pixels image, other than 256 x 256, are employed for processing.