Cellular Neural Networks And Image Processing

Cellular Neural Networks and Image Processing

Yang, who is not identified, applies the design principles of cellular image operators to a hardware platform called cellular neural network (CNN), a VLSI-oriented vision chip invented in 1988. Having presented different local rules in previous works, he here examines many local rule classes that can be implemented by a CNN, exploiting such unique characteristics as its ability to process three source images in parallel and so define computations among the three. The study is second in his trilogy on cellular image processing algorithms and cellular hardware platforms. Annotation copyrighted by Book News, Inc., Portland, OR.

Cellular Neural Networks and Visual Computing

Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Leon Chua, co-inventor of the CNN, and Tamàs Roska are both highly respected pioneers in the field.

Image Processing Using Cellular Neural Networks