Monitoring Of Infrared Thermal Image Enhancement Technology For Plant Disease

In the context of the national rural agricultural information technology demonstration Hunan Province, the construction of an integrated service platform, the precise construction of agricultural information platform networking is an important part, and plant disease monitoring and analysis of data is an important job. This article is in this context, infrared thermal imaging technology research-based, site of plant diseases and healthy part of the temperature difference between the theoretical basis for the infrared thermal image processing algorithms for the study, the SNR of infrared thermal image low resolution characteristics of poor (in advance), focusing on the.infrared image enhancement algorithms are studied.Firstly, the mechanism and the characteristics of the image generated infrared images, in the blind unit compensation law, three image non-uniformity correction method and digital image enhancement method enhancement technology to do a comparison and analysis, the digital image enhancement technology that is efficient and economical method.Then, depending on the scope of the digital image processing algorithms are spatial domain and frequency domain algorithm started. In the neighborhood of the point arithmetic and spatial domain algorithm to do a simple analysis and simulation, the combination of plant disease infrared images blurred edge features, we proposed a weighted Laplacian algorithm, a weighted simulation experiment Laplacian algorithm than the conventional edge enhancement algorithm has better effect; in terms of the frequency domain respectively ideal low-pass filter, Butterworth high-pass filtering and homomorphic to do the analysis and comparison, the homomorphic filtering in terms of image detail better highlight the effect, but the traditional homomorphic filter function after the image processing, image dim. This article homomorphic filter function is optimized by the addition of an offset variable and zoom function irradiated components were optimized to function, experimental results show that the homomorphic filter optimized image contrast and brightness enhancement have better results.Finally, this paper image processing technology plant disease monitoring to do a comprehensive analysis, based on the monitoring process established model. And PC-based terminals, designed and implemented a plant disease monitoring and early warning systems, in the image processing section to achieve a variety of image enhancement algorithms.