关键词: 脂肪肝, 超声图像, 图像分解, 卡通图, 纹理图

Abstract: When using computer aided detection system to detect fatty liver on ultrasonic liver image, ROI（Region Of Interest） selected by doctors leads to uncertain classification results. To avoid the influence which caused by artificial factor, an approach can get a robustness, ROI independent result for fatty liver detection is proposed by using image decomposition technique. Each liver image is decomposed into a cartoon part and a texture part by a variation method. The cartoon part is used to indicate the location of ROI while texture feature will be calculated in the according texture part. Experimental results show that the texture information extracted from the decomposition texture image has better classification accuracy than the one extracted from the original ultrasonic liver image.

Key words: fatty liver, ultrasonic image, image decomposition, cartoon image, texture image