COMPUTER GRAPHIC IMAGE TECHNOLOGY IN THE DETECTION OF BACILLUS CEREUS IN FOOD

As food poisoning incidents caused by food-borne pathogenic bacteria happen frequently, people in domestic and abroad have paid more and more attention on methods for detecting microorganism in food rapidly and strived to improve the current deficiencies of traditional detection methods, to meet the requirements of improving food quality and safety by detecting pathogenic bacteria in a quick and precise way. Bacillus cereus is one of the most common food-borne pathogenic bacteria inducing food poisoning. Based on developed microorganism rapid detection system, this study focuses on pretreatment methods used in detecting bacillus cereus in food and preliminarily explores microscopic image analysis and recognition in collected bacillus cereus specificity, in order to establish a set of quick method for detecting bacillus cereus in food.