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Seed Purity And Vitality Of The Rapid Determination Of Artificial Intelligence, Image Recognition And Processing System

Posted on:2004-09-04Degree:MasterType:Thesis
Country:ChinaCandidate:D RenFull Text:PDF
GTID:2208360092998807Subject:Agricultural mechanization project
Abstract/Summary:PDF Full Text Request
today, image processing and identifying is the indispensable component of modern agricultural development. Along with specialization of image processing technology, descending of hardware cost and increasing of CPU speed. Image processing is more and more important in the way of agricultural applicationvigor and purity of seed is very important target for the seller and user. For cross corn seed, the purity of seed increase 1%, the crop output will increase 10%. In the recent years, Because of vigour and purity of seed, it is universal that output decreased and sterilized. Economic loss is enormous. The common method, such as protein electrophoresis, tetrazole staining burgeon experiment and farm experiment can measure vigour and purity of seed, but it can not be satisfied for actual request of seed producing in the way of speed and precision of data processing and result analyse.We aim for com breed of our province, using computer, pick-up camera, image gathering card, electrophoresis equipment ect as means, synthetically apply image processing technology, statistic theory and comparison experiment method, will combine the staining theory and and electrophoresis atlas character theory witch express character of seed vigor and purity with the image processing; Then develop a method and system of rapid measuring corn seed purity and vigor. The thesis can be divided into three parts:(1) research of measure method we study recent measuring method of seed purity and vigor, according to the choosed method we assure the component of image processing system.(2) system developing analyzing the processed image, confirm the method of imaging processing; comprehend and identify the processed image, design and test the program.(3) research of reliability Apply comparison experiment to verify and adjust the image processing system.1 research of measure methodwe study recent measuring method of seed purity and vigor. In recent measuring method, protein electrophoresis is rapid, accurate, steady and economic, not affected by environment condition, We improve reactive system of our national tentative com protein gelatinous electrophoresis, and that which is more adapted to imaging process. In the method of measuring vigor, we mainly use vital capacity, germination percentage and seedling to assess seed vigor grade, vital capacity, germination percentage and seedling of seed reflect seed vigor. Tetrazole staining method for measuring seed vigor that is accurate and steady which is admited by international word. And that witch is easy for imaging processing. 2, system developingAccording to our choosing, we design hardware component of imaging processing system, and preprocess it, Image processing system is as follows: IBM-PIIIPC, CCD camera, braket, lighting room.because quantity of real color data is very huge, we change it to grayness image.In the process of gathering image, it must produce noise, otherwise, we focus on the image character that we are interested in when we do it; so we should use the technology of histogram equalization of image, windows conversion, removing noise by smoothness and filtering to enhance the image.And then we part the image, get the destination image we are interested in, which create a condition for image comprehension. For measuring of seed vigor, we study seed vigor quantitatively by means of computing specific value of stained and unstained area in plumule. If specific value of stained and all of seed plumule is greater than 2/3,we take it to be a vital capacity the seed. As we know, manual decision method estimate specific value of stained area, and so in a large quantity of measuring, because of human factor of fatigue and so on, maybe generate misjudgement condition, computer can probably reduce productive probability of the mistake. In the image process, using pixel to express area is more accurate than eyes.In the method of purity measuring, we find that utilizing image template match can perfectly resolve the prob...
Keywords/Search Tags:image processing, purity and vigor, tetrazole staining, proteinelectrophoresis
PDF Full Text Request
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