Abstract

An alumina sintering rotary kiln flame image retrieval method was put forward based on artificial neural network (ANN) and flame shape features. An effective flame shape descriptor was introduced, based on which the flame image recognitions were carried out using ANN. Then, a flame image retrieval algorithm was designed. Experiments were carried out on the prototype machine with the flame images sampled from an alumina sintering rotary kiln. The results indicate that the shape descriptors can effectively describe the flame shapes and the proposed flame image retrieval method can achieve both high accuracy and efficiency. This method can be of promising theoretical and practical value for alumina sintering rotary kiln management and surveillance.

Recommended Citation

Zhang, Hongliang; Li, Jie; and Zou, Zhong (2009) "Alumina Sintering Kiln Flame Image Retrieval Based on ANN and Flame Shape Feature," Chemical Product and Process Modeling: Vol. 4 : Iss. 1, Article 2.
DOI: 10.2202/1934-2659.1324
Available at: http://www.bepress.com/cppm/vol4/iss1/2