IMAGE MOSAICKING AND SEMI-AUTOMATIC CRACK EVALUATION FOR VISUAL INSPECTION OF CONCRETE STRUCTURES

DOI Web Site 2 Citations 11 References
  • FUJITA Yusuke
    山口大学大学院 創成科学研究科電気電子情報系専攻
  • TAGUCHI Takeshi
    秋田大学大学院 理工学研究科システムデザイン工学専攻
  • HAMAMOTO Yoshihiko
    山口大学大学院 創成科学研究科電気電子情報系専攻

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Other Title
  • コンクリート構造物の外観検査のための画像合成および半自動ひび割れ評価

Description

 Recently, robots utilizing UAV (Unmanned Aerial Vehicle) or the like for next generation social infrastructure are developed, and acquisition of images for inspection of concrete structures is becoming more efficient. It is also expected to develop an effective image processing system against large amount of data, to maintain and manage an enormous number of structures efficiently. In this paper, we propose an image processing method for reliable evaluation, and it realizes efficient visual inspection of concrete structures. At first, we propose a semi-automatic crack extraction method in which an operator roughly specifies the position of cracks on the image. We also propose applying super-resolution and an evaluation method of crack width using a crack scale. Furthermore, we propose an image synthesis method that corrects lens distortion aberration using only the straight line on the image and interpolates occlusion using multiple images from different viewpoints. Experimental results show that cracks can be extracted with high accuracy by the semi-automatic processing even in low spatial-resolution and low contrast images. And it also suppresses the calculation cost and the photographing cost, compared to the conventional method.

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