Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2012-04-03
International Journal of Engineering Science & Advanced Technology (IJESAT), Volume-2, Issue-2, 352 - 357 Mar-Apr 2012
Computer Science
Computer Vision and Pattern Recognition
Errors in material
Scientific paper
This paper focuses on fruit defect detection and glare removal using morphological operations, Glare removal can be considered as an important preprocessing step as uneven lighting may introduce it in images, which hamper the results produced through segmentation by Gabor filters .The problem of glare in images is very pronounced sometimes due to the unusual reflectance from the camera sensor or stray light entering, this method counteracts this problem and makes the defect detection much more pronounced. Anisotropic diffusion is used for further smoothening of the images and removing the high energy regions in an image for better defect detection and makes the defects more retrievable. Our algorithm is robust and scalable the employability of a particular mask for glare removal has been checked and proved useful for counteracting.this problem, anisotropic diffusion further enhances the defects with its use further Optimal Gabor filter at various orientations is used for defect detection.
Katyal Vini
Srivastava Deepesh
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