关键词: 机器视觉, 特征提取, 煤岩界面识别, 单目视觉测量

Abstract: In view of the low recognition rate of the existing coal-rock interface recognition, an information extraction method of the coal-rock interface is proposed based on machine vision in this paper. In the case that there is little difference in physical mechanics properties and great difference in gray level between coal and rock, one image of the coal face is shot by a camera mounted on a shearer at a fixed time. The curve of the coal-rock interface is obtained by preprocessing and feature extracting, then the pixel coordinates in the image are gotten. After the camera calibration, the relationship between the pixel coordinates and the actual imaging angle is calculated based on the projection model of the shearer and the coal face. Then the height information of the coal-rock interface is calculated according to this relationship. Ultimately, according to the height information?obtained in each piece of the images, the entire coal-rock interface of the coal face is fitted out, which provides a basis for the attitude control of the shearer.

Key words: machine vision, feature extraction, coal-rock interface recognition, monocular vision measurement