Abstract
This paper proposed a method to recognize the kind of an object and to determine the location of the object in a gray-scaled image. The kind, location and pose of an object are unknown under the general environment. In the object recognition, typical image features that can represent the characteristics of an object must be used. But it is generally difficult to determine effective image features for object recognition. Therefore the genetic algorithm is applied to determine the combination of effective image features and their weights automatically in the proposed method. The relative weights of effective image features are determined in the candidates of general image features. The weights of the candidates of image features are represented as an individual chromosome. An individual fitness is evaluated by the discriminant analysis using the total difference of image features between the area including an object and other areas. The experimental results show that the combination of the effective image features and their weights were determined automatically and the objects were recognized successfully using the combination.
