Genetic algorithms for object recognition in a complex scene

A real-world computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires a preprocessing step to locate objects in the scenes that ought to be recognized. Genetic algorithms are a search technique for dealing with a very large search space, such as the one encountered in image segmentation or object recognition. This work describes a technique for using genetic algorithms to combine the image segmentation and object recognition steps for a complex scene. The results show that this approach is a viable method for successfully combining the image segmentation and object recognition steps for a computer vision module.

• Type: Conference
• Year: 1995
• Where: ICIP
• Authors: Daniel L. Swets, B. Punch, Juyang Weng
• Keywords: ICIP 1995, Image Processing, Image Segmentation, Object Recognition Steps, Vision Module