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Method Of Tree Image Segmentation

Posted on:2014-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:N ZhangFull Text:PDF
GTID:2268330401985732Subject:Forestry engineering automation
Abstract/Summary:PDF Full Text Request
Relatively difficult due to the complexity of the background, trees image segmentation, image segmentation of the trees, so that stereo vision measurement for forestry, forest pesticides precisely target application visualization reconstruction, image-based trees, tree growth statusassessment of tree species in the automatic identification and classification of topics such as basic data and technical support. Static color images of trees as samples, respectively, using three methods trees image segmentation based on Matlab software.Based on the RGB color space, the use of green plants over the green factor value is far greater than the background creation of green factor values, select the appropriate over the green factor as image segmentation threshold. Test that green factor method can achieve trees image segmentation.Introduced Markov random field theory, first established trees color image segmentation model of MRF-MAP, and using EM algorithm to estimate the parameters of the model of the observation field, and then using conditional iterative algorithm and simulated annealing algorithm to optimize the segmentation problem solving, and ultimately determine the number of categories and test parameters of the color tree image segmentation, and the segmentation results were compared.On the basis of these studies, research the initial mark field MRF-MAP model segmentation results, with green features and K-means segmentation as initial mark field, and the penalty factor setting mode MRF-MAPthe model segmentation results, the penalty factor were fixed and with the program to run continuously in an increasing manner, and then comparing the obtained segmentation results. Finally, over the green features threshold segmentation results as the initial segmentation parameters, combined with Markov random segmentation results over the Green Markov random field theory and Markov random field segmentation results compare.The results showed that: both based on Markov random field segmentation method is based on Green Markov with airport segmentation method can be applied on the tree image segmentation...
Keywords/Search Tags:Image segmentation, Markov random field, Excess-green
PDF Full Text Request
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