Abstract
In recent year, various imaging techniques have been introduced into medical fields as useful tools for providing helpful information for visual inspections. For example, magnetic resonance imaging and computed tomography, etc., are those already established imaging techniques. Accordingly many related image processing techniques have been developed and reported in medical imaging fields. In the field of X-ray CT images, to segment of liver region several approaches are reported in the past. Many of them are needs knowledge-based schemes based on fuzzy logic or 3-D structural such as a blood vessel. It is therefore, for numerical representation automatic extraction of the liver region and classification of shadow candidate is required. In this paper, we propose a technique for automatic extraction of liver areas and its classification of shadow by computer employing a set of abdominal CT images. In the first stage, we extract a region of liver area from the given 2-D CT images. In the next stage, abnormal area is extracted employing subtraction technique. The technique was applied to three abdominal CT image sets and satisfactory results were obtained.
