| In recent years, with the widely use of the antibiotics and the development of tumor X-ray treatment ,organ transplant , pipe techniques and the increase of HIV affections, all these facts attribute to the increase of affections and death rates caused by bacteria which arouse highly attention of the doctors in practice. Due to this reason, research on anti-bacteria medicine has become an hot topic right now. It is of great significance on how to choose appropriate medicine to set proper treatment solution in the safest and most economical circumstance and get the best treatment.At present, the effective of medicine is mainly decided by the doctors using microscope to observe the form of the bacteria sections and the bacteria developed on drawing.Conclusions with experiences. This method mainly depends on the subjective factors and lack objective factors, so it is necessary to use computer technology to accelerate the medical treatment automatically and scientifically.To the problems above ,this paper conducts research on the automatic processing of micro bacteria image and analysis by data using computer image processing and mode pattern recognition etc technologies. As to the problems such as the complexity of image background of the micro bacteria section and difficulty in image segmentation, this paper also presents a method named double thresholds segmentation. This method has been proved to be a kind of reliable ,accurate stable segmentation method through numerous experiments. According to the characteristic of bacteria image processed using our system, we have improve the high pass filter algorithm applied in this segmentation method, this provide an objective fact for the implementation of the system.This paper has provided a solution to the technique on micro bacteria image automation detection and its implementation and studied and processed on a large number of images.It has been admitted by major doctor and medical professionals meanwhile, it set up a foundation for further research on this field. |