Strip-shaped article surface defect on-line visual attention detection method

The invention relates to a strip-shaped article surface defect on-line visual attention detection method. The invention fully utilizes the image pre-processing technology and the visual attention model. The method comprise steps of utilizing a background estimation image processing technology to reduce or eliminate the affect on the stick cracking defect caused by characters, trademarks, etc, highlighting surface defect information, and utilizing a visual attention model to obtain a defect characteristic remarkable diagram. The module which is based on extracting image low level visual characteristics analyzes characteristics of object image intensity, rims and directions, establishes a pyramid characteristic model, composites a characteristic image of the three characteristics through a center rotating around an operator, uses discrimination to fuse the operator, fuses the three characteristics to obtain an remarkable diagram, and highlights the cracking information to achieve the goal of extracting defect sticks. The invention can perform online detection on the surface defects of the strip-shaped article and has advantages of high speed, good interference resistance, good instantaneity and high detection accuracy.