The Application of Genetic Algorithm for the Segmentation of Measured Image of Waste Wood Material Connectors

This paper introduces the principle and testing method of the waste wood material connectors detecting system which is based on X-ray. For the shortcomings of small brightness, low contrast, slow gray change and serious noise pollution which X-ray image suffers from, the threshold segmentation method is chosen, which is based on genetic algorithm, as the segmentation method in detecting image of waste wood material connectors. The basic operation process and algorithm flowchart of genetic algorithm are presented in the paper and the threshold is calculated maximum between cluster variance and maximum entropy associated with genetic algorithm. The experimental results show that this method can eliminate background information of X-ray image and keep information of the waste wood material connectors getting better segmentation effect. That laid the foundation for identifying the waste wood material connectors for the future.