Pneumoconiosis´s Gross Tissue Imaging Classification Based on Morphological Feature Description

Referring to pneumoconiosis´s gross tissue imaging classification, it is fatal to know the importance of distinguishing lung nodule from macule and how many nodules and macule the pneumoconiosis´s gross tissue image really get. in achieving the distinguishing and counting results, the morphology processing method and some auxiliary digital image processing methods are adopted. after processing, the statistic work begins. the statistic results of abundant candidate parameters give us the chance to pick the parameter performing extremely well. in that way, the classification of pneumoconiosis´s gross tissue images is quite feasible.