EFFICIENT DEFECT DETECTION ALGORITHM FOR GRAY LEVEL DIGITAL IMAGES USING GABOR WAVELET FILTER AND GAUSSIAN FILTER

摘要

The Automated visual inspection systems are utilized effectively to identify the defects in various digital images in industries. In our research work we have used Gabor filter and Gaussian filter to eliminate the texture elements in the digital image by isolating the defected area. Then a fast searching algorithm which uses feature extraction parameters is deployed to identify the defected pixels and to effectively segment it. The proposed technique is suitable for texture and non texture images. Thus the Algorithm is used to identify the defects in the digital texture image using non texture methods.