Research of Extraction Method of Road Elements from Road surface Image Based on Morphology.

基于形态学的路面图像道路元素提取方法研究。

• 批准号: 15500111
• 负责人: TANAKA Naoki
• 金额: $ 1.98万
• 依托单位: Kobe University (2004-2006)神戸商船大学 (2003)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15500111/
• 关键词: road image; morphology; crack; white line; road surface; manhole; segmentation; 競合解消; Qフィルタ; 眼底画像; カラーチャネル選択; 路面要素; 要素抽出

In maintenance of a road surface, it is necessary to detect white lines and cracks on a road surface. In this study, the aim is extracting structural elements such as, a crack, a white/yellow line, a joint and a manhole in the road surface image. The extraction of such elements is not easy due to the low contrast and wildness of a road surface image. At first we introduced a method to extract each element individually and achieved high enough extraction rate. On the other hand, for example, a tiny ditch around a manhole is extracted as a false crack. We proposed a rule based relaxation method to resolve the false extraction. In addition, we obtained a large quantity of new road surface image data and performed an extraction experiment. As a result, there was "a stain" that was not included in previously used image data set and it could be a false crack, so we refined some parameters to avoid false extraction. In addition, in extraction of the white center line / yellow center line, a refinement the parameter was necessary about edge extraction stage by the Jansen Shannon divergence. Through these refinements, proposed road surface element extraction method has highly enough performance to new image data set.

在维持道路表面时，有必要检测到路面上的白线和裂缝。在这项研究中，目的是提取结构元素，例如裂缝，白色/黄色线，关节和人孔在路面图像中。由于道路表面图像的对比度低和野性，此类元素的提取并不容易。首先，我们引入了一种分别提取每个元素并达到足够高的提取率的方法。另一方面，例如，将人孔周围的微小沟渠提取为假裂纹。我们提出了一种基于规则的放松方法来解决错误的提取。此外，我们获得了大量新的路面图像数据，并进行了提取实验。结果，有“污渍”未包含在先前使用的图像数据集中，这可能是一个错误的裂缝，因此我们完善了一些参数以避免错误的提取。另外，在提取白色中心线 /黄中心线时，对詹森·香农（Jansen Shannon）差异的细化是必要的，而詹森·香农（Jansen Shannon）的差异是必要的。通过这些改进，提出的道路表面元素提取方法具有足够的性能，可以使新的图像数据集具有足够的性能。

项目成果

Conceptual Changes in Learning Mechanics by Error-based Simulation

基于错误的模拟对学习机制的概念改变

• 发表时间: 2005
• 期刊: Proc. of ICCE2005 (Int.Conf. on Computers in Education)
• 作者: Toshiyuki;Yasuda;M.Sirayama;Y.Sugaya;高木圭;Horiguchi Tomoya
• 通讯作者: Horiguchi Tomoya

An Easy-Hard-Easy Cost Profile in Distributed Constraint Satisfaction

分布式约束满足中的简单-困难-简单成本概况

• 发表时间: 2005
• 期刊: 情報処理学会論文誌 45巻・9号
• 作者: Hirayama;K
• 通讯作者: K

レーザー画像を用いた路面からのクラック抽出

使用激光图像提取路面裂缝

• 发表时间: 2006
• 期刊: 土木学会論文集E 62巻・4号
• 作者: 田中 直樹

堀口 知也: "A Computational Framework of Thought Experiment Environments"Proc.of 11th Int.Conf.on Computer in Education. ICCE2003. 1074-1078 (2003)

Tomoya Horiguchi：“思维实验环境的计算框架”Proc.of 11th Int.Conf.on Computer in Education2003 1074-1078 (2003)

A simulation-based learning environment assisting scientific activities based on the classification of 'surprisingness

基于“惊奇”分类的辅助科学活动的模拟学习环境

• 发表时间: 2004
• 期刊: Proc.of ED-MEDIA2004
• 作者: 高井 博之;橘 啓八郎;Toshiyuki Yasuda;金澤靖;H.HAMBO;Horiguchi T.
• 通讯作者: Horiguchi T.