线条增强的建筑物图像抽象画生成  

Line Enhanced Image Abstraction for Building Images

作　　者：柳有权[1,2,3] 吴宗胜[1] 韩红雷[4] 吴恩华[2,3] 

机构地区：[1]长安大学信息工程学院,西安710064 [2]澳门大学科技学院 [3]中国科学院软件研究所计算机科学国家重点实验室,北京100190 [4]中国传媒大学动画与数字艺术学院,北京100024

出　　处：《计算机辅助设计与图形学学报》2013年第9期1275-1280,共6页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(60973066;60833007);国家"九七三"重点基础研究发展计划项目(2009CB320802);中国科学院软件研究所计算机科学国家重点实验室开放基金(SYSKF1004);澳门大学科技项目

摘　　要：针对建筑物图像线条鲜明、轮廓清晰的特点,提出一种自动化的抽象画生成算法.首先通过双边滤波对原始图像的细节进行简化;然后利用快速的、带有误判控制的图像线段检测算法来获得建筑物的外轮廓和门窗等线条特征,通过该线条特征增强基于流的高斯差滤波器生成线条框架;最后将双边滤波处理结果与线条框架进行融合形成最终的抽象画效果.该算法既去掉了建筑物图像中多余的细节信息,使整个图像更趋抽象,同时又通过边缘信息保持了建筑物自身独有的风格,充分展现出富有艺术家手绘风格的建筑物效果.文中算法简单、易于实现,并通过实验充分证明了其有效性.In this paper we present an automatic abstraction algorithm for building images. Firstly, the bilateral filter technique is used to remove the redundant details of the building image~ and then the fast line segment detector with a false detection control is used to detect the outlines of the door, window or other edge features. Based on the line segments detected, a line-drawing image is generated by Flow-Based Difference-of-Gaussians filter to keep building＇s sketchy and clear outline features; at last the image from bilateral filtering and the line-drawing image are integrated to form the final abstraction result. With the presented algorithm, the redundant information is removed to abstract the detail content of the image, while a novel line enhanced technique is used to strengthen the special style of the building, which is similar to artist＇s hand-painting. Our algorithm is simple and easy to implement. And the experimental results verified the effectiveness of the algorithm.

关 键 词：建筑物图像 线条增强 图像抽象化 非真实感绘制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]