Adaptive Thresholding with Iterative Fuzzy Logic Based Image Enhancements for Wiper Arm Defect Detection

Author(s):  
Chi Wei Foo ◽  
Lee Choo Tay ◽  
Weng Kin Lai

An innovative approach is introduced to detect surface defects on titanium coated steel surfaces with varied size through the use of image processing techniques. This paper provides techniques which are useful to discover numerous kinds of surface defects present on coating surface. For defect detection, Firefly Algorithm (FA) based adaptive thresholding is proposed and is applied for the gray scale images. The FA ensuing nature inspired algorithm utilized expansively in support of determining various optimization problems and from the reconstructed image contours are extracted using level set method, the predictable images not including textures besides defects contours be compassed. The morphological post processing removes the noise in image and makes defects more distinguishable from the background. The speculative result persists in utilizing synchronous images of metal surface and shows that the proposed method can efficiently segment surface defects and obtain better performance than existing methods.


2005 ◽  
Vol 1 (4) ◽  
pp. 259-273 ◽  
Author(s):  
D. Naso ◽  
B. Turchiano ◽  
P. Pantaleo

Author(s):  
Aydin Sumer ◽  
Asli Celik ◽  
Ayhan Kucukmanisa ◽  
Aysun Taiyapi Celebi ◽  
Oguzhan Urhan

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