本文選題：Gabor濾波　切入點(diǎn)：大豆植株　出處：《西北農(nóng)林科技大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：利用生長模型參數(shù)實現(xiàn)農(nóng)田大豆植株的三維可視化是虛擬植物建模研究的重要內(nèi)容。為實現(xiàn)苗期階段的農(nóng)田大豆三維可視化模擬,本研究選取西北農(nóng)林科技大學(xué)水保所試驗田培養(yǎng)的中黃13號大豆植株為研究對象,通過對苗期大豆植株各個器官的三維重建研究,從而實現(xiàn)農(nóng)田大豆單株及群體的三維可視化及農(nóng)田環(huán)境漫游交互的模擬,本文的主要研究內(nèi)容如下:(1)苗期大豆植株器官形態(tài)建模。利用索尼DSC-W800數(shù)碼相機(jī)獲取原始大豆葉片圖像信息,采用Sobel算子實現(xiàn)圖像的邊緣檢測,然后利用中值濾波去除噪聲。結(jié)合三次參數(shù)樣條曲線擬合葉片輪廓,并基于Delaunay三角剖分逐點(diǎn)插入實現(xiàn)多邊形的網(wǎng)格化,運(yùn)用改進(jìn)的Gabor小波算法提取葉片紋理能量特征,采取SPM算法描述紋理漸變線索和場景深度的關(guān)系,選用柱體的拓?fù)浣Y(jié)構(gòu)及量化公式模擬大豆主莖,結(jié)合模型分級化原理重建分枝模型,最后通過中軸線結(jié)構(gòu)及二次曲線方程重建側(cè)枝形態(tài)。(2)基于參數(shù)化L系統(tǒng)和有限狀態(tài)機(jī)模型實現(xiàn)單株大豆可視化。利用獲取的苗期大豆植株各器官三維重建模型,結(jié)合大豆植株的總線型空間結(jié)構(gòu)特點(diǎn),基于參數(shù)化的L系統(tǒng)在器官尺度上模擬苗期大豆植株的拓?fù)浣Y(jié)構(gòu),并實現(xiàn)了L系統(tǒng)的并行生長及繪制技術(shù),結(jié)合大豆的生長特性,同時使用多層次自動機(jī)構(gòu)建苗期大豆生長的有限狀態(tài)機(jī)模型,最終實現(xiàn)苗期單株大豆的三維可視化。(3)群體大豆植株可視化�；贚系統(tǒng)和有限狀態(tài)機(jī)實現(xiàn)的大豆個體可視化模型,結(jié)合獲取的大豆植株節(jié)間距采樣和幾何形態(tài)數(shù)據(jù),采用實例化渲染技術(shù)實現(xiàn)了群體大豆的可視化。為了優(yōu)化群體植株數(shù)據(jù)的存儲結(jié)構(gòu)及真實感渲染,采用OpenGL顯示列表封裝苗期大豆植株的各個器官,結(jié)合農(nóng)田生長環(huán)境加上光照、地形等因素的影響,同時采用天空盒及霧化效果渲染天空場景,提高系統(tǒng)可用性。(4)大豆植株漫游系統(tǒng)。首先將虛擬農(nóng)田圖像分成N等份,然后結(jié)合行間十字型路線進(jìn)行漫游交互,通過設(shè)定好的漫游控制點(diǎn)和漫游路徑,結(jié)合轉(zhuǎn)向處的Hermite曲線對控制點(diǎn)進(jìn)行擬合,隨著路徑漫游,為了節(jié)約虛擬漫游系統(tǒng)的資源,將曲線進(jìn)行插值離散化,同時將“固化”后的數(shù)據(jù)保存到數(shù)組中,并在計算過程中引入轉(zhuǎn)換系數(shù)μ使漫游轉(zhuǎn)向更加光順自然,最后結(jié)合漫游路徑拼接技術(shù)實現(xiàn)大豆農(nóng)田的漫游效果。
[Abstract]:Using growth model parameters to realize 3D visualization of farmland soybean plants is an important part of virtual plant modeling. In this study, the soybean plant Zhonghuang No. 13, cultivated in the experimental field of soil and Water Conservation Institute of Northwest University of Agriculture and Forestry Science and Technology, was selected as the research object, and the three dimensional reconstruction of each organ of soybean plant at seedling stage was studied. In order to realize the 3D visualization of individual plant and population of farmland soybean and the simulation of field environment roaming interaction, The main contents of this paper are as follows: 1) Modeling the organ morphology of soybean plant at seedling stage. Using Sony DSC-W800 digital camera to obtain the original soybean leaf image information, and using Sobel operator to realize edge detection of the image. Then the median filter is used to remove the noise, and the cubic parameter spline curve is used to fit the blade contour. Based on the Delaunay triangulation, the polygon is meshed, and the improved Gabor wavelet algorithm is used to extract the energy feature of the leaf texture. SPM algorithm is adopted to describe the relationship between texture gradation cues and scene depth. The topological structure and quantification formula of columns are used to simulate the main stem of soybean, and the branching model is reconstructed by combining the principle of model classification. Finally, based on parameterized L system and finite state machine model, the visualization of single soybean was realized through the reconstruction of lateral branch morphology by the central axis structure and conic equation. The 3D reconstruction model was used to reconstruct the organs of soybean plant at seedling stage. Based on the characteristics of bus-type spatial structure of soybean plant, the topological structure of soybean plant at seedling stage was simulated by parameterized L system on organ scale, and the parallel growth and drawing technology of L system was realized, and the growth characteristics of soybean were combined. At the same time, the finite state machine model of soybean growth in seedling stage was constructed by using multi-level automata. Finally, the visualization of soybean plant is realized by 3D visualization of single plant soybean in seedling stage. Based on the individual visualization model of soybean realized by L system and finite state machine, the sampling of node spacing and geometric shape data of soybean plant are obtained. In order to optimize the storage structure and realistic rendering of plant data, OpenGL display list was used to encapsulate all organs of soybean plant in seedling stage, combined with field growing environment and illumination, in order to optimize the storage structure and realistic rendering of population soybean, the instantiation rendering technique was used to realize the visualization of soybean. The terrain and other factors are used to render the sky scene with sky box and atomization effect to improve the availability of the system. 4) Soybean plant roaming system. Firstly, the virtual farmland image is divided into N equal parts. Then the roaming interaction between the interline cross-type routes is carried out. By setting the roaming control points and roaming paths and combining with the Hermite curve of the steering place, the control points are fitted. With the roaming of the path, in order to save the resources of the virtual roaming system, The curve is interpolated and discretized, and the "solidified" data is saved into the array, and the conversion coefficient 渭 is introduced in the calculation process to make the roaming steering more smooth and natural. Finally, the roaming effect of soybean farmland is realized by combining the technology of roaming path splicing.
【學(xué)位授予單位】：西北農(nóng)林科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S565.1;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 于合龍;劉寒靜;吳暉霞;黃浦;丁民權(quán);郝明明;;紋理植物葉片三維可視化系統(tǒng)設(shè)計與試驗[J];中國農(nóng)機(jī)化學(xué)報;2016年10期

2 李書欽;劉海龍;諸葉平;李世娟;劉升平;張紅英;李中陽;;基于實測數(shù)據(jù)和NURBS曲面的小麥葉片三維可視化[J];福建農(nóng)業(yè)學(xué)報;2016年07期

3 孔繁爽;伍艷蓮;姜海燕;;基于圖像特征提取的生菜形態(tài)可視化建模[J];安徽農(nóng)業(yè)科學(xué);2015年24期

4 曾蘭玲;劉慶仙;馬冬冬;沈項軍;詹永照;;藤蔓類農(nóng)作物生長可視化研究[J];軟件導(dǎo)刊;2015年05期

5 陳宏;連思思;翁啟勇;邱榮洲;池美香;趙健;;基于L-System模型的Web三維果園構(gòu)建方法研究[J];中國農(nóng)學(xué)通報;2015年12期

6 任靜;周華;郭超;王妍;梅再歡;;結(jié)合FFT和Gabor濾波器的織物紋理特征提取方法[J];浙江理工大學(xué)學(xué)報;2015年01期

7 周香凝;劉培強(qiáng);牛翠霞;;移動平臺三維花卉植物觸摸反饋可視化模擬[J];計算機(jī)科學(xué);2014年S2期

8 舒建文;吳譽(yù)蘭;劉暢;楊樂;;黃瓜葉緣形態(tài)特征及生長過程的建模和可視化[J];實驗室研究與探索;2014年01期

9 馮娟;曾立華;劉剛;司永勝;;融合多源圖像信息的果實識別方法[J];農(nóng)業(yè)機(jī)械學(xué)報;2014年02期

10 袁曉敏;趙春江;溫維亮;郭新宇;陸聲鏈;魏學(xué)禮;;番茄植株三維形態(tài)精確重構(gòu)研究[J];農(nóng)業(yè)機(jī)械學(xué)報;2012年12期

相關(guān)博士學(xué)位論文 前2條

1 馬學(xué)強(qiáng);具有生長特征的虛擬植物模型研究[D];山東師范大學(xué);2015年

2 吳R，

本文編號：1627064