| abstract |
The invention discloses an intelligent online detection method and system for the moisture content of a sintered mixture. By acquiring a sintered mixture image, the color features of the sintered mixture image in the HSV space are extracted, and the texture features of the sintered mixture image are extracted by using a grayscale co-occurrence matrix. , extract the morphological characteristics of the sintered mixture image, and establish a sintered mixture moisture detection model based on the color, texture and morphological characteristics of the sintered mixture image, and detect the moisture of the sintered mixture based on the sintered mixture moisture detection model. , which solves the technical problem of low detection accuracy of the existing sintering mixture moisture, and introduces the intelligent method into the sintering mixture moisture intelligent detection for the first time, which greatly improves the stability and detection accuracy of the sintering mixture moisture detection. |