Topologically Adaptable Snakes

This paper presents a topologically adaptable snakes model for image segmentation and object representation. The model is embedded in the framework of domain subdivision using simplicial decomposition. This framework extends the geometric and topological adaptability of snakes whileretainingallofthe features oftraditionalsnakes, such as user interaction, and overcoming many of the limitations of traditionalsnakes. By superposing a simplicialgrid over the image domain and using this grid to iteratively reparameterize the deforming snakes model, the model is able to flow into complex shapes, even shapes with significant protrusions or branches, and to dynamically change topology as necessitated by the data. Snakes can be created and can split into multiple parts or seamlessly merge into other snakes. The model can also be easily converted to and from the traditional parametric snakes model representation. We apply a 2D model to various synthetic and real images in order to segment obj...

• Type: Conference
• Year: 1995
• Where: ICCV
• Authors: Tim McInerney, Demetri Terzopoulos
• Keywords: Adaptable Snakes Model, Computer Vision, ICCV 1995, Snakes Model, Snakes Whileretainingallofthe Features