Абстрактный

Automatic Image Segmentation method based on ALG

Christo Ananth, G.Gayathri, I.Uma Sankari, A.Vidhya, P.Karthiga

An automatic anatomy segmentation method is proposed which effectively combines the Active Appearance Model, Live Wire and Graph Cut (ALG) ideas to exploit their complementary strengths. It consists of three main parts: model building, initialization, and delineation. For the initialization (recognition) part, a pseudo strategy is employed and the organs are segmented slice by slice via the OAAM (Oriented Active Appearance method). The purpose of initialization is to provide rough object localization and shape constraints for a latter GC method, which will produce refined delineation. It is better to have a fast and robust method than a slow and more accurate technique for initialization. One of the strengths of the proposed method is to segment the organ during the process of manually delineating the boundaries. For single-object segmentation, global optimality is guaranteed.