Automated TV-set Raster Tuning System

System for automated control and tuning of TVset raster has been developed. The artificial intelligence elements such as multilayer perceptron, RBF and Cohonen networks effectively have been used in the system to tuning parameters of image correction algorithms, approximation of non-linearities and for the rough determination of a position of the TVset relative to CCD-camera. The accuracy of raster tuning and compensating of the nonlinear and geometrical distortions carried out by system with the use of above-mentioned approach much exceed the ones, achievable via hand-operated tuning.

• Type: Conference
• Year: 2000
• Where: MVA
• Authors: Rauf Kh. Sadykhov, Alexey N. Klimovich, Oleg G. Malenko, Leonid P. Podenok
• Keywords: Artificial Intelligence Elements, Image Correction Algorithms, MVA 2000, MVA 2007, Raster Tuning