Detection Method of Suspended Particle Concentration in Sewage Based on Image Threshold Segmentation Algorithm
In order to achieve the accurate detection of sewage suspended particle concentration,a study of sewage suspended particle concentration detection based on image threshold segmentation algo-rithm was proposed.Firstly,the spectrum information of sewage suspended particles is collected,and the entropy characteristic quantity of the infrared spectrum of sewage suspended particles is extracted.Then,the threshold segmentation and multi-scale feature decomposition model of sewage infrared spectral image are constructed to solve the coupling characteristic quantity of image features of sewage suspended particles in the fluid domain and the solid domain.Finally,the differences between the types and value ranges of infrared characteristic variables of sewage suspended particles are analyzed.The con-centration of suspended particles in sewage can be detected.The test results show that the detection ac-curacy of this method is higher than 0.9,which proves that the proposed method can improve the effec-tive treatment ability of sewage suspended particles.
万方数据
维普
