LIVER EXTRACTION USING HISTOGRAM AND MORPHOLOGY

S. Kiruthika, I. Kaspar Raj

Abstract: Liver is the largest glandular organ important for survival in human body. Computed tomography is generally used to image liver due to its precision. This paper presents a method to extract liver from computed tomography (CT) abdomen images in axial orientation. A traditional segmentation method based on histogram and morphology is proposed herein. Histogram is used to analyze the intensity distribution, morphological operations are used to disconnect liver from the neighboring organs and greatest connected pixels are extracted. The experimental results of the proposed method when applied to CT abdomen images with contrast are presented and the effectiveness is discussed in accordance to the manual tracing obtained from the radiologist. Dice similarity co-efficient amounts to 94% in the proposed method

Keywords: segmentation, extraction, histogram, morphology, connected component, ct liver

DOI: https://doi.org/10.15623/ijret.2016.0501049