Study of Intelligent Image Recognition Method for Large Coal Blocks in Coal Preparation Plant
Aiming at the problem that the recognition of large coal blocks in existing coal preparation plant is affected by the linear inseparability of large coal blocks and gangue,which leads to low recognition efficiency and poor recognition accuracy,an intelligent image recognition method for large coal blocks in coal preparation plant is designed.Firstly,the image acquisition equipment is applied to obtain the mixed image of coal blocks,and the image enhanced,denoised and other operations are performed to complete the image preprocessing.Then,the area and thickness of the coal block are calculated to obtain the material characteristics of the coal block and gangue.Finally,based on the X-ray attenuation curves of the coal block and gangue,the identification threshold is set,and combined with the least-squares support vector machine to solve the linear indivisibility problem of the coal block and gangue,to complete the intelligent identification of large coal block images.Comparison test results show that the proposed method has better application effect,higher recognition rate and recognition accuracy,and faster recognition speed,which is better than the comparison method.The method can greatly improve the recogniton effect of large coal block images and has high application value.
万方数据
维普
