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基于随机Hough变换的深度图像分割
引用本文:丁益洪,平西建,胡敏. 基于随机Hough变换的深度图像分割[J]. 计算机辅助设计与图形学学报, 2005, 17(5): 902-907
作者姓名:丁益洪  平西建  胡敏
作者单位:信息工程大学信息工程学院,郑州,450002;信息工程大学信息工程学院,郑州,450002;信息工程大学信息工程学院,郑州,450002
基金项目:国家自然科学基金 ( 60 2 72 0 0 4)
摘    要:提出了基于随机Hough变换的深度图像分割算法,该算法采用随机Hough变换在深度图像中寻找平面,具有对噪声不敏感的优点.通过对一常用深度图像数据库(ABW图像库)的分割实验,并将实验结果同4种经典的深度图像分割算法在同一数据库中的分割结果作了比较分析,表明该算法对噪声不敏感,分割性能优于4种经典算法。

关 键 词:深度图像分析  深度图像分割  随机Hough变换  平面检测

Range Image Segmentation Based on Randomized Hough Transform
Ding Yihong,Ping Xijian,Hu Min. Range Image Segmentation Based on Randomized Hough Transform[J]. Journal of Computer-Aided Design & Computer Graphics, 2005, 17(5): 902-907
Authors:Ding Yihong  Ping Xijian  Hu Min
Abstract:A novel range image segmentation algorithm based on RHT (Randomized Hough Transform) is presented in the paper. The algorithm finds planar regions by utilizing RHT and has the advantage of insensitivity to noise. The proposed algorithm has been tested on a popular range image database (ABW image database) with comparisons to four typical range image segmentation algorithms. The experiment results show that the proposed algorithm has a strong anti-noise ability and its segmentation performance is superior to the four algorithms tested.
Keywords:range image analysis  range image segmentation  randomized Hough transform  planar detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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