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Based On The Opening Of Leaf Stomata Improved Genetic Algorithm

Posted on:2017-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:J L CaiFull Text:PDF
GTID:2180330491953855Subject:Agricultural Electrification and Automation
Abstract/Summary:PDF Full Text Request
In order to investigate the specific circumstances of the plant to absorb CO2 to curb global warming, the establishment of the plant model carbon sequestration in different states, the paper measurement method stomatal aperture were studied.Existing methods measure stomatal aperture is essentially the production of blade loading into the epidermis, after passing through the imaging under the microscope, using the approximation method or Wang Geji number of stoma area is calculated to give the stomatal aperture. Both of these methods not only to calculate the deviation of the data is large, and make loading, microscopic observation, approximate calculations are required manual operation, a huge amount of work, is not conducive to scientific research. In order to quickly obtain accurate information stomatal aperture, this paper introduces an automatic calculation.For plant leaf images obtained in the course of the experiment, for image processing. In order to obtain the area of stomatal aperture, the need for image segmentation. In many ways the image segmentation, thresholding, as a mature and better methods have been applied to this article. Threshold segmentation process, in order to quickly and accurately determine the optimal threshold, the threshold of the article link genetic algorithm. Due to the presence of the genetic algorithm premature convergence problem during operation, improved genetic algorithm, simulated annealing fusion of ideas. While basic Otsu (OTSU) modified to a two-dimensional Otsu method. Between the improved genetic algorithm combined with maximum class variance method to obtain ideal segmentation.
Keywords/Search Tags:Stomatal aperture, Threshold, Genetic Algorithms, Simulated annealing algorithm
PDF Full Text Request
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