A Study Of Image Processing And Identifying Technology On Cucumber Disease

Along with descending of hardware cost and increasing of CPU speed, and the increasing ability of computer process, as well as developing of specialization of image processing and identifying technology, this technology is more and more important in the way of agricultural application, and is a vital technology of achieving agricultural information and automatization as well. The main purpose of this paper is to identify and diagnose the cucumber's downy mildew intellectively by computer image process technology. It involves in knowledge such as image process, plant physiology, chroma, pattern identify etc. We can't suit the remedy to the disease and reduce the losing until identify correctly. Because it isn't enough just count on human's visual system, we should develop such a kind of software.The main contents of this paper are as follows:1. Disease samples' image gatheringIn the experiment section which the experts study the cucumber's downy mildew, we collect young plant and adult plant's disease sample. According to the request of collection, we use illumination system and computer image process equipment to collect the image of disease samples.2. Disease images' pre-processNo matter what kind of equipment we use, the images gathered won't satisfy us, so we should pre-process the image to improve its quality. This paper first study the image's background, and choose white as the background of disease image; and then separate the disease image from the background by binarization method; and wipe off noise by medium method; for the sake of obtaining better spot shape, we carry out edge detection by differential calculus. We have obtained better effect.3. Disease identifying and diagnosingUse color, texture, spot shape's character parameter to identify and diagnose the diseases. Compare some familiar chroma system characteristic, and distill the character parameter of color; use gray accretion matrix and wavelet transform separately to study the texture character; and then distill the figure character parameter of the spot. Establish the identify model which identify the disease leaf, and establish the classification; introduce subjection principle to go along the faintness identify. According to the representative character, the cucumber downy mildew spot present anomalistic polygon, we...