Title :
Inspection of surface defects on engine cylinder wall using segmentation image processing technique
Author :
Han, Liqiang ; Yue, Xiaofeng ; Yu, Junyi
Author_Institution :
Jilin Inst. of Technol., Changchun, China
Abstract :
A regression formula has been developed for dividing the surface image obtained from an engine cylinder wall. By applying the formula, segmentation error can be minimized. The error, which results from the separation of the cylinder wall image, will lead to a potential loss of precision when the surface images of the cylinder wall are processed. By using the segmental image processing method, the experimental results show that the formula is correct and the technique is reliable
Keywords :
automatic optical inspection; image segmentation; internal combustion engines; statistical analysis; AOI; engine cylinder wall; regression formula; segmentation error minimisation; segmentation image processing technique; surface defects inspection; surface image division; Casting; Charge-coupled image sensors; Engine cylinders; Image processing; Image segmentation; Inspection; Lenses; Manuals; Production; Servomechanisms;
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
DOI :
10.1109/IVEC.1999.830679
