Automatic Weave Image Tilt Correction Based on Interlacing Points Fullness
As manual tilt correction has always been the bottleneck of automatic weave image analysis and processing, this paper proposed a means by which automatic weave image tilt correction can be achieved. First, mathematical morphology is carried out in weave image preprocessing for de-noise and enhancement. OTSU and raster scanning are followed to detect target rectangles in the image so as to determine the outlines of interlacing points on which the Interlacing Point Fullness (ISF) is established. Then the relationship between ISF and the correcting angle of weave image is discussed and the correcting coefficient built on ISF is used to counteract the disturbance of weave surface distortions in order to identify the correcting angle in a comprehensive way.
Lun Bai and Guo-Qiang Chen
C. Tao and Y. Chen, "Automatic Weave Image Tilt Correction Based on Interlacing Points Fullness", Advanced Materials Research, Vols. 175-176, pp. 928-932, 2011