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Detection of Micro-Crack defect on Eggshel by Means of Candle Lighting and Improved Anistropic Diffusion Filtering
- This paper investigates micro-crack detection on eggshell using computer vision technology. The highly textured image of the egg shell due the heterogeneity of its structure makes detection process a very challenging task. In order to enhance the micro-crack region and reduce anomalies, an improved thresholding equation incorporating the mean and gradient values of the image has been developed. The resulting image has been segmented using a double thresholding technique from which an edge image has been formed. The results have been qualitatively and quantitatively assessed from which it has been concluded that the proposed method achieved better performance in precision of FOM measure.
M. H. Abdullah
M. Z. Abdullah
- 8th AUN/SEED-Net Regional Conference on Electrical and Electronics Engineering