基于圖元變換的建筑彩繪紋樣圖像矢量化方法

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關(guān)鍵詞：圖像矢量化；圖像模式；殘差網(wǎng)絡(luò)；圖像分類；可微圖像合成中圖分類號(hào)：TP391 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：1001-3695（2025）07-038-2206-07doi：10.19734/j.issn.1001-3695.2024.09.0374

Abstract：Tovectorizearchitecturalpaintedpaternimagesthatcontainreusablegraphicelements，whilepreservingtheindependenceandtransformationparametersof thereusable graphic elements，thispaperproposedavectorizationmethodforarchitecturalpaintedpaternimagesbasedonelementtransformation.Thismethodfirstlydividedcomplexpattersintolocalpatterns，thenconductedmulti-classelementdetectiononthelocalpaternstocompleteelementfilteringandinitializeelement transformationparameters.Subsequently，itusedanimproveddiferentiablesythesisalgorithmtocalculatethetransforation parametersof thelements，ultimatelyachievingvectorizationofthepaternimagewhileretainingthetransformationparameters of thereusablegraphicelements.Experimentalresultsdemonstratethatthis methodcanachieveasmalerimagereconstruction eroronarchitecturalpaintedpatterndatasets，whilealsopreservingthetransformationparametersofthereusablegraphic elements.Basedonthecharacteristicsof thepainted paters，thispaperproposedavarietyofvectorizationmetrics tocompare the performance of various methods.Thismethodhas advantages in terms ofreconstruction accuracyandtheretentionof element transformation parameters，and can be applied to the vectorization of images with reusable graphic elements.

Key words：image vectorization；image patterns；residual network；image classfication；diferential compositing

0 引言

圖像矢量化是將位圖轉(zhuǎn)換為由數(shù)學(xué)參數(shù)描述的矢量圖的一項(xiàng)技術(shù)，矢量圖相較于位圖具有分辨率無關(guān)性與占用空間小的優(yōu)點(diǎn)。（剩余17064字）