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In the name of God Based on Image Processing for Detecting Tile Defects Adaptive Threshold ‌ Heydar Toossian Shandiz Shahrood University of Technology.

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Presentation on theme: "In the name of God Based on Image Processing for Detecting Tile Defects Adaptive Threshold ‌ Heydar Toossian Shandiz Shahrood University of Technology."— Presentation transcript:

1 In the name of God Based on Image Processing for Detecting Tile Defects Adaptive Threshold Heydar Toossian Shandiz Shahrood University of Technology 7Tir Square, P.O.Box Shahrood Iran

2 imperfect edges at the tile borders
Defects small spots Three Majors defects thin strips imperfect edges at the tile borders

3 Key Information Defects have normally very light or very dark intensity in compare with normal texture on tile surface

4 Binary Image cracks, scratches, pin-holes, spots and chips dark nature
Gray level defects such as water drops, color grade and blobs Light nature

5 Putting M by N image pixels of tilt to array Y
First Step of 5 Putting M by N image pixels of tilt to array Y Data set = {X , Y} X is index of vector Y

6 Second step of 5 Changing Y image to binary image by Thershold T, Which is initially set to zerro

7 Regression line is calculated
Third step of 5 Regression line is calculated

8 Fourth step of 5 E=Abs ( Y-f )

9 Last step of 5 eMax( T ) = Max { E }

10 eMax Versus T

11 ∆T > Γ Then The tile is defected
Clasifier ∆T=T1 – T0 ∆T > Γ Then The tile is defected

12 Calculating the Γ Γ= μ p + α σ p

13 Sample Tiles

14 Key parameters for samples

15 Thanks all


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