簡述：本篇文章取自本人的畢業(yè)設(shè)計，主要是利用MATLAB軟件對植物圖像序列的有效信息進(jìn)行提取，得到三維點云圖，進(jìn)而構(gòu)建三維植物模型。

下面截取部分內(nèi)容加以闡述：

摘要：隨著人工智能技術(shù)、智慧農(nóng)業(yè)和虛擬現(xiàn)實技術(shù)等信息技術(shù)的快速發(fā)展和攝像器材的廣泛普及，三維模型重建工作越來越普遍，如何開發(fā)面向植物的簡易三維模型重建流程已受到普遍關(guān)注。本研究通過文獻(xiàn)研究法和實證研究法，實現(xiàn)了攝像機的自標(biāo)定過程，基于機器學(xué)習(xí)和SVM理論，實現(xiàn)了交互式彩色圖像分割模式并與原有的顏色閾值分割法進(jìn)行了對比，構(gòu)建了針對植物三維模型的基于單目視覺的運動恢復(fù)結(jié)構(gòu)流程，并以蘭花為例進(jìn)行了重建。結(jié)果表明：（1）SVM圖像分割理論更適合背景復(fù)雜的植物圖形和批量處理，顏色閾值分割法在背景單一的情況下能取得良好效果；（2）BRISK立體匹配算法的匹配效率更高且更具有魯棒性；（3）基于單目視覺的SfM法能較好地還原植物三維信息。

關(guān)鍵詞：三維重建；植物；SVM圖像分割；單目視覺

廢話不多說，這個項目說到底其實就是一個針對激光建模方案的替代方案，由于手持式激光建模儀器太過于昂貴，除非實驗必要，大部分有真正需求的人，反而無法接受其高昂的價格。所以在結(jié)合我的導(dǎo)師的建議和我自身興趣的前提下，我查閱了大量資料，文獻(xiàn)，設(shè)計出了這一款，能夠?qū)崿F(xiàn)植物三維模型快速重建的小程序，分享出來，以便提供大家參考。

上圖所示就是這個程序的一個小功能，主要是利用支持向量機原理，將圖像精準(zhǔn)分割。

下圖所示，是這個項目的流程設(shè)計圖。

下圖是，項目所做的一些成果

參考文獻(xiàn)

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