AN IMPROVED SYNERGETIC ALGORITHM FOR IMAGE CLASSIFICATION

✍ Scribed by TREVOR HOGG; HABIB TALHAMI; DAVID REES

• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 341 KB
• Volume: 31
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(98)00021-1

✦ Synopsis

A major application of pattern recognition technology is in industrial manufacturing. In this paper, we develop a synergetic algorithm for pattern recognition which is based purely on the appearance of the object, without reference to a CAD model of the object, making the technique generic and flexible. In particular, we apply this algorithm to the problem of classifying an object into a number of user-defined aspects, which is an important problem in robotic manipulation of objects. The technique is fast and can be trained using a non-iterative, deterministic training scheme which will find a zero-error solution on a training set, if such a solution exists.