基于場模型的二維圖形相似性研究


頁數(shù)：5 字數(shù)：3276

基于場模型的二維圖形相似性研究

【內(nèi)容提要】本文在深入分析和研究用于2D幾何圖形內(nèi)插的廣義勢能場模型的基礎(chǔ)上，提出了改進和優(yōu)化原始模型的方法，并利用其來研究圖形的相似性關(guān)系及其傳遞規(guī)律。實驗結(jié)果表明，本文提出改進方法能夠克服傳統(tǒng)算法存在的弊端，較好的描述二維圖形的相似性及其傳遞規(guī)律。
【關(guān)鍵詞】相似性、勢能場、圖形關(guān)系
【ABSTRACT】On the basis of analyzing and researching generalized potential field using in shape interpolation, this paper proposes the new method which improves and optimizes the original model and puts it to use for researching graphic similar relationship and its transfer rule. The experimental results show that the improved method can overcome some shortcomings of traditional method and perfectly express graphic similar relationship and its transfer ru