Rigidity Recognition of the Cataract Lens Nuclear Based on Multiple Classifier Fusion

摘要

In phacoemulsification, controlling the ultrasonic frequency from the emulsification pinhead is essential, which depends on the accurate judgment of the rigidity of the lens nuclear. In this chapter, a multiple classifier fusion method was applied to the rigidity recognition of the cataract lens nuclear, which used different color components to train classifiers and fused the decisions of all the classifiers to judge the rigidity. The experimental results show that the method can achieve a high recognition rate, which meets the demand of the project.