Multi-Valued and Universal Binary Neurons deals with two new types of neurons: multi-
valued neurons and universal binary neurons. These neurons are based on complex …

We propose a new edge enhancer based on a modified multilayer neural network, which is
called a neural edge enhancer (NEE), for enhancing the desired edges clearly from noisy …

In this paper, a linear CNN template class is studied with a symmetric feedback matrix
capable of generating trigger-waves, a special type of binary traveling-wave. The qualitative …

This paper introduces a real-time object oriented segmentation algorithm, designed and
implemented on a new type of mixed analog/digital chip based on the cellular …

In this paper Cellular Neural Networks (CNN) are applied to image segmentation based on
active contour techniques. The approach is based on deformable contours which evolve …

This work proposes an image-descreening technique based on texture classification using a
cellular neural network (CNN) with template trained by genetic algorithm (GA), called GA …

In this paper, a new algorithm for the cellular active contour technique called pixel‐level
snakes is proposed. The motivation is twofold: on the one hand, a higher efficiency and …

Multi-valued and universal binary neurons (MVN and UBN) are the neural processing
elements with the complex-valued weights and high functionality. It is possible to implement …

This paper introduces the processing core of a full-custom mixed-signal CMOS chip
intended for an active-contour-based technique, the so-called pixel-level snakes (PLS) …

Organ segmentation and reconstruction are useful for many clinical purpose, like diagnostic
aid or therapy planification. The segmentation literature is large. However, it is rare to find a …