Detecting System of Weld Joint by Image Measurement

图像测量焊缝检测系统

• 批准号: 05452295
• 负责人: INOUE Katsunori
• 金额: $ 3.84万
• 依托单位: Osaka University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1993
• 资助国家: 日本
• 起止时间: 1993 至 1994
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-05452295/
• 关键词: Parallel Processing; Image Processing; Active Contour Extraction; Genetic Algorithm; Top Down Approach; Dominant Point Detection; Weld Joint Image; Neural Networks; 高機能画像処理システム; 特徴点抽出法; トップダウン的アプローチ; 拡張ラグランジェ関数; 接合部開先形状; 光スライス法; ノイズ除去; ニューラ

The fundamental works were done for the establishment of an automatic detecting system of the weld joint. The construction of high ability image processing and measuring system, the development of new algorithm for the object recognition using this system and the proposal of a new noise rejection method were performed for the above purpose. Their outline is shown as follows.(1) Construction of Image Processing System of Parallel Connecting Type--The image data conversion and input system was constructed by rough connecting of parallel type data processing elements. The optimization of the co-operative parallel processing was examined on this system and the pattern extraction unit composed of the LSI of special made.(2) The Development of New Algorithm for Extracting the Contour of an Object--The contour line of the object for detection was extracted by the algorithm so called 'Snakes'. The genetic algorithm (GA) was applied for solving the 'Snakes'. This method was compared with the pr … More eviously proposed methods. Furthermore, The 'BIGA (BiPhased Genetic Algorithm)', which was the improved version of the above GA,was proposed as new developed algorithm. It is proved that the effective extraction of the contour line is possible from an object in a noisy and dirty image.(3) The Development of New Algorithm for Detection of the Dominant Points of an Object--A new method for the dominant points detection, which could be applied to the contour line extracted by the above described method, was proposed on the basis of the principle of top-down approach. The feature of the method is that the number of the dominant points is beforehand given based on a priori knowledge on the object. The superiority of this method to the ordinary methods was shown by the comparative experiment.(4) The Proposal of the New Method for the Elimination of the Noise on an Image of the Weld Joint--The application of neural networks was proposed to eliminate noise due to arc light, etc., superimposed on the image of the weld joint, obtained by the light slice method. Less

为建立焊缝自动检测系统做了基础性工作。为此，建立了高性能的图像处理和测量系统，开发了利用该系统进行目标识别的新算法，并提出了一种新的噪声抑制方法。其概要如下所示。(1)并行连接型图像处理系统的构成--图像数据转换和输入系统由并行型数据处理元件的粗连接构成。在该系统和由专用大规模集成电路构成的模式提取单元上，对协同并行处理的优化进行了研究。(2)一种新的物体轮廓提取算法的研究--用Snakes算法提取待检测物体的轮廓线。遗传算法（GA）被应用于解决“蛇”。并将该方法与传统的方法进行了比较 ...更多信息 提出的方法。在此基础上，提出了一种新的改进算法比加（BiPhased Genetic Algorithm）。证明了在噪声和脏图像中有效地提取目标轮廓线是可能的。(3)一种新的目标特征点检测算法的研究--基于自顶向下的原理，提出了一种新的目标特征点检测方法，该方法适用于上述方法提取的轮廓线。该方法的特点是根据物体的先验知识预先确定优势点的个数。通过对比实验，表明了该方法与常规方法相比的优越性。(4)焊缝图像噪声消除新方法的提出--提出了应用神经网络消除弧光等噪声，叠加在通过光切片法获得的焊缝图像上。少

项目成果

K.Inoue,K.Asano,W.Seo: "Active Contour Extraction by Genetic Algorithm" Procs.ACCV'93. 534-537 (1993)

K.Inoue、K.Asano、W.Seo：“通过遗传算法进行主动轮廓提取”Procs.ACCV93。

井上勝敬,伊娜: "ニューラルネットの溶接ビード外観検査への応用" 溶接学会論文集. 11巻. 288-293 (1993)

Katsutaka Inoue, Ida：“神经网络在焊缝外观检查中的应用”，日本焊接学会汇刊，第 11 卷，288-293 (1993)。