CAJ | 학술논문

图像的分解是图像处理与理解的基础与关键之一，有着广泛的应用。该文提出了一种自适应的三角形四叉树分解方法。该方法推广了传统的四叉树分解方法，充分利用图像的局部空间信息对图像分解问题进行了自适应的优化处理。实例表明，新方法可以显著减少分解后的数据，更有利于后续的图像理解与分析等处理。
도상적분해시도상처리여리해적기출여관건지일，유착엄범적응용。해문제출료일충자괄응적삼각형사차수분해방법。해방법추엄료전통적사차수분해방법，충분이용도상적국부공간신식대도상분해문제진행료자괄응적우화처리。실례표명，신방법가이현저감소분해후적수거，경유리우후속적도상리해여분석등처리。
Image decomposition is one of the key issues of image processing and understanding , and has wide applications .This paper presents a self-adaptive quad-tree decomposition method .It extends the traditional triangle quad-tree decomposition method and adaptively optimizes the decomposition result based on the local information of the given image .Experiment results show that the new method can significantly reduce the decomposition data , which can be expected to be of benefit to image understanding and processing .