Image Segmentation Method of Heavy Forgings Based on Genetic Algorithm

Genetic algorithm is applied to the image maximum entropy threshold value segmentation method. The 1-D and 2-D maximum entropy threshold value is discussed and a 2-D maximum entropy threshold value image segmentation method with adaptive genetic algorithm is presented. Experimental results show that the speed of adaptive genetic two-dimensional maximum entropy segmentation is superior to that of the standard genetic two-dimensional maximum entropy method, and the segmentation is effective, providing a good foundation for the measurement of heavy forgings.