Title :
Human-oriented image recognition for industrial inspection system
Author :
Nakagawa, M. ; Ohnishi, K. ; Nakayasu, H.
Author_Institution :
Center for Inf. Process., Shiga Univ., Japan
Abstract :
An algorithm was proposed intending for external view image processing of FRP panel in visual inspection process. In the proposed algorithm, three kinds of inspection information such as location, size and level of defects are treated for clustering image data. The proposed algorithm enables one to process the dynamic sequential images with small facility and to obtain a reasonable efficiency of visual inspection. When the algorithm proposed by the authors was included, instead of a visual inspection process by a human being, it is expected that the productivity will be further improved and the human being, machine and computer will be cooperated respectively. Some numerical studies for visual inspection of FRP panel shows that the performance of the proposed algorithm is similar to that of expert inspector
Keywords :
automatic optical inspection; computer vision; edge detection; feature extraction; image sequences; FRP panel; automatic optical inspection; central moment; computer vision; edge detection; feature extraction; image recognition; industrial inspection system; sequential images; Clustering algorithms; Fiber reinforced plastics; Histograms; Humans; Image processing; Image recognition; Information processing; Inspection; Production systems; Productivity;
Conference_Titel :
Robot and Human Interactive Communication, 2000. RO-MAN 2000. Proceedings. 9th IEEE International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-6273-X
DOI :
10.1109/ROMAN.2000.892469
