Object Recognition Technique Based on Level Set Method and Neural Network
The Object recognition is the task of finding and labeling parts of a Two-Dimensional (2D) image of a scene that correspond to objects in the scene. In this paper, the authors have proposed an efficient approach using level set method for extracting object shape contour and convex hull as a shape invariant features to the Feed forward Neural Network classifier for object recognition. They extracted the shape contour by level set method. Then, they have obtained invariant shape feature, convex hull of the objects. This convex hull set serves as a pattern for the Neural Network. Initially Feed forward neural network trained on the odd data set and tested on even data set.