Vision-based mixed color detection of plastic particles.

In the production process of high-end PP-R pipes, mixing different colored raw material particles can result in uneven color in the final product, affecting its appearance quality. in addition, color mixing can reduce the physical properties of the pipes, impacting their durability and safety. To address this issue, we propose a visual, non-destructive inspection solution based on image processing technology.

Vision-based algorithm for online TIG welding deviation detection of stainless steel welded pipes.

Tungsten inert gas (TIG) welding is the main welding process in the production of stainless steel welded pipe. According to the morphological characteristics of the welding molten pool image during the TIG welding process of stainless steel welded pipes, the exact position of the tungsten needle tip is calculated using image moments. Extract the weld region in the contour of the molten pool, interpolate the contour curve based on the cubic B-spline curve interpolation method, utilize the characteristics of the S-G filter, remove the interference coordinates in the contour curve through the detrending of the contour curve, extract the weld feature points, and realize the accurate identification of weld seams.

[Study on the relations between HLA-DRB1 alleles and idiopathic thrombocytopenic purpura in children].

Objective: To gain an insight into the relations between human leukocyte antigen-DRB1 (HLA-DRB1) alleles and idiopathic thrombocytopenic purpura (ITP) in children.

Methods: Polymerase chain reaction-sequence specific oligonucleotide (PCR-SSO) was used to identify DRB1 alleles of 42 children with ITP. Among them, 36 were identified for anti-GPIIb/IIIa and anti-GPIb/Ix autoantibody by modified monoclonal antibody specific immobilization of platelet antigens.