Diagnostic Study, Based On Image Recognition Tobacco Bacterial Wilt Harm

Recognition of the traditional victims of tobacco bacterial wilt is mainly based on its characteristic symptoms of disease or condition and performance to be judged by pathology identified. In this paper, digital image processing and image recognition method, harmful bacterial wilt of tobacco leaves by image recognition, image features of normal leaves compared to right, so as to achieve the purpose of identification of disease symptoms.The use of natural lighting conditions in 600W pixel digital camera in the experimental base for disease leaf image. And obtain the image is preprocessed to enhance the image of useful information, remove information unrelated to the image, thereby enhancing the image of useful information can be simplified to maximize detection and data.In this paper, leaf disease of color features and texture features as a basis for judging the state of tobacco disease.Established using the AHP AHP evaluation model.AHP is a quantitative and qualitative analysis of the combination of integration. Through the analysis and understanding of the target, use their experience to compare the goals of the importance of each criterion, according to the degree of importance of these standards calibration weights for each standard to determine the order of the merits of various policy options. Decision-making objectives, considerations and decision-making objects according to the relationship between them is divided into top, middle and bottom layers. AHP to be resolved is lowest at the highest level on the relative weight of the problem, here can Zui Diceng relative weights of the various programs and measures to sort, and thus in different programs to choose or form options principle.In the process of image processing, it is necessary to carry out repeated operations on the original image, the image parameter settings and compare the effect of the intermediate results the image, according to the image processing simulation platform provides the feedback parameters to adjust the image parameter settings, use the GUI to design image processing simulation platform user interface is the best option.