H. Elbehiery

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This paper deals with the visual inspection of ceramic’s tiles surfaces for the purpose of detecting flaws using a wavelet approach. Surface defects in the ceramic tiles are viewed as in-homogeneities in regularity and orientation fields. To improve the homogeneity of batches received by final users and to detect manufacturing defaults, most production(More)
⎯ Quality control in ceramic tile manufacturing is hard, labor intensive and it is performed in a harsh industrial environment with noise, extreme temperature and humidity. It can be divided into color analysis, dimension verification, and surface defect detection, which is the main purpose of our work. Defects detection is still based on the judgment of(More)
As the price of ceramic tiles depend on its limpidness and precision of surface texture, color and shape, it's in fact a great challenge to control surface eminence and uphold production rate in the field of industrial fabrication of ceramic tiles. Under consideration these criteria, in this research paper, we have proposed an enhanced automatic(More)
It is widely recognized that data security will play a central role in the design of future IT systems. Many of those IT applications will be realized as embedded systems, which rely heavily on security mechanisms. Examples include security for wireless phones, wireless computing, pay-TV, and copy protection schemes for audio/video consumer products and(More)
It presents an automatic defect identification system for detecting crack of titles from captured digital images based on defect classification and segmentation. Image classification will be used for automated visual inspection to classify defect and protects from quality one. It will be performed through textures analysis and probabilistic neural network.(More)
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