Extraction of Liver Capsule from High-Frequency Ultrasound Images via Drift Iterative Search Algorithm

Aiming at the prior medical knowledge that hepatic ascites only occurs in severe period of liver cirrhosis, and rupture capsule curve, when visually, can easily lead to wrong location capsule, a transposed grayscale statistical threshold method is proposed solve problem. Realize identification ascites. By analyzing visual characteristics image, gray value upper half ultrasound image counted column by from mathematical point view, distribution curve drawn, relevant set for corresponding judgment. At same time, above detection boundary zero. The ablation experiment proved post-processing operation this paper provide effective support precise positioning quantitative analysis diagnosis cirrhosis later stage. Hessian matrix sensitive linear structure achieve enhancement. In view low accuracy existing envelope incomplete evaluation it use drift iteration under synergistic effect multiple filters. A search algorithm extracts capsule.