In order to automatically detect bacilli in sputum smear with microscopy,an intelligent recognition method based on machine vision is presented.Firstly,a novel method with the fusion of multi-frame image information is presented to improve the quality of microscopic image of sputum smear by extending the dynamic range,and then the background filter was designed based on the single layer perceptron to recognise bacilli segmentation from background.After eliminating the short twig and small area noise,the suspicious goals and the image noise are separated.In the feature extraction,two important features are presented to solve the difficult problem of identification and counting for the overlapping and winding bacilli.Finally,based on the above research content an EBP neural network classifier is designed for the accurate identification and counting of the bacilli.Experimental results show that the method presented in this paper is a feasible and accurate solution for bacilli automatic identification.
展开▼
