Study of automatic separation system of coal and gangue by IR image recognition technology

Abstract

Separation of coal and gangue is an important procedure in coal production. Present separating technology has such defects as low efficiency, high pollution, high energy consumption, and high cost. Based on the analysis of grey value of digital images, we prompt a new separation method using image segment. Optimizing ordinary illumination, infrared light is used in lighting part. Algorithm is designed in the basis of histogram character of coal and gangue. Automatic recognition is realized to the segment of coal and gangue, which reach the aim of lower energy consumption and reduce pollutant discharge. © 2011 Springer-Verlag.