title: A Genetic-Algorithm-Based Explicit Description of Object Contour and its Ability to Facilitate Recognition.
abstract: Shape representation is an extremely important and longstanding problem in the field of pattern recognition. Closed contour, which refers to shape contour, plays a crucial role in the comparison of shapes. Because shape contour is the most stable, distinguishable, and invariable feature of an object, it is useful to incorporate it into the recognition process. This paper proposes a method based on genetic algorithms. The proposed method can be used to identify the most common contour fragments, which can be used to represent the contours of a shape category. The common fragments clarify the particular logics included in the contours. This paper shows that the explicit representation of the shape contour contributes significantly to shape representation and object recognition.
authors.forename: Hui
authors.initials: H
authors.lastname: Wei
authors.forename: Xue-Song
authors.initials: XS
authors.lastname: Tang
mesh_terms: D000465:Algorithms; D000818:Animals; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008957:Models, Genetic; D010363:Pattern Recognition, Automated / Q000379:methods*