Parametric snakes form an efficient class of deformable contours and are characterized efficiently in terms of spline basis functions. Snakes are optimized by optimizing the parameters under a set of local image constraints. Snakes are very useful for characterizing objects in a given image. In particular, snakes find interesting applications in processing biological images. The objective of this project is to write snake optimization ImageJ software based on a user-defined shape library - a library of shapes from which a user may choose and optimize. Different biological objects have different shapes and therefore, the snake shape library must be fairly exhaustive and include the frequently encountered object shapes. Requirements: basic knowledge of image processing, expertise in ImageJ. Existing resources: E-spline based snake optimization software in ImageJ. Deliverables: Java code and a project report.