Image Processing Based on an Improved Hybrid Genetic Algorithm for Furnace Flame

Process of burning coal powder in the boiler is a very complex suspension combustion and very unstable. The technology of image processing is an important way to monitor the status of boilers. In this paper, we use image segmentation operation in this area, and the segmentation process is based on an improved hybrid genetic algorithm. In this algorithm, the simulated annealing algorithms and immune operation are used to improve the performance of the Genetic Algorithms in the image processing.