This paper presents the results of a joint study of automatic diagnosis of chest radiographs of pneumoconiosis. The Hybrid Optical/Digital Image Processing System of Fudan University (OPSA-1) was used. New algorithms developed for feature selection and classification led to a higher efficiency through experiments, with 94% accuracy in discriminating normal/abnormal radiographs.