(1) The computer vision system using the presented defect detection method and image extraction technology can save time and raise precision.

(2) A method of fabric defect detection based on deck orthonormal wavelets has been developed in paper.

(3) The traditional defect detection is mainly done by artificial means.

(4) The basic processes of on - line defect detection for color printing were introduced.

(5) This method applies only to open workpiece surface defect detection.

(6) Experimental result based on Mujava shows that the class test strategy has effective defect detection rate.

(7) Experiments with real image data show that the proposed method is fabric defect detection.

(8) In the light of the corrosion and leakage of A3 steel tank of ethylene dichloride(http://), a defect detection and microscopic inspection have been conducted.

(9) The article describes signal processing for width measurement and hole defect detection of cold-rolled steel plate using linear CCD under the transillumination.

(10) The realistic significance of applying computer vision to fabric defect detection is analyzed firstly.