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Feature Extraction of Leaf Area Based on Digital Image Processing

Author: ZhangJinRui
Tutor: WangZhongZhi
School: Beijing Forestry University
Course: Art of Design
Keywords: Image processing Leaf area Hough transform Linear space conversion Regression equation
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 254
Quote: 2
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Abstract


With the continuous development of the Internet , the network in people's lives occupy an increasingly important position , and the the Network animation for the delivery of information and has a unique ; blade plant organ , plant leaf characteristics at different stages of growth same leaf characteristics of shape, color and thickness , leaf length and width and area is very important in the morphological characteristics of plant leaves , their change for botanical research , guiding production activities are of great significance . Traditional leaf area measurement methods for manual operation is complete , low efficiency , while based on digital image processing technology of leaf area measurement methods can leaf characteristics automatically extracted , so this article using image processing methods to analyze characteristics of leaf length and width and area selected tomentosa leaves at different growth stages as sample pretreatment , binarization, morphological operations such as binary image of the sample leaves using the Hough transform and spatial transformation of the leaf image distortion correction sample leaves the long , wide area data , which established a regression equation of leaf area changes . Finally, based on the data obtained , combined with the performance of the network animation , Flash animation production growth of the Chinese white poplar leaves . This article successful use of digital image processing technology to extract the characteristics of Populus tomentosa leaf area and leaf area characteristics of the different stages of growth data and the regression equation to find the relationship between the different stages of growth , leaf length and width and area , satisfactory results , the research content of this paper for plant visualization, crop production , and has laid a good foundation for and network animation artistic expression research .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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