Attila Kis

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An analogic CNN algorithm was developed and tested in order to detect failures such as blobs, bumps and disruption on textile in real time by using an experimental system with pressure sensory arrays Tactilus, a CCD camera and the cellular visual microprocessor development system, Aladdin Pro. The tactile sensory system is focused on the suspicious areas by(More)
Acknowledgements First of all, I would like to thank my supervisor, Prof. Zoltán Vidnyánszky, for his continuous support and guidance throughout my work. I am also grateful to Prof. Tamás Roska, head of the doctoral school and Prof. József Hámori, for providing assistance and encouragement to my work especially through establishing a multidisciplinary(More)
This dissertation (i) describes parallel histogram modification techniques with embedded morphological preprocessing methods within the CNN-UM framework, describes and illustrates how the implementation of the algorithm results in an adaptive multi-thresholding scheme when histogram modification is combined with embedded morphological processing at a finite(More)
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