Morphological Neural Networks for Vision Based Self-Localization

Identification of Houseplants Using Neuro-vision Based Multi-stage Classification System

In this paper, we present a machine vision system that was developed on the basis of neural networks to identify twelve houseplants. Image processing system was used to extract 41 features of color, texture and shape from the images taken from front and back of the leaves. The features were fed into the neural network system as the recognition criteria and inputs. Multilayer perceptron (MLP) ne...

Increasing the Robustness of Heteroassociative Morphological Memories for Practical Applications

Associative Morphological Memories are a recently proposed neural networks architecture based on the shift of the basic algebraic framework. They possess some robustness to specific noise models (erosive and dilative noise). Combining the Associative Morphological Memories with erosion/dilation scale-spaces, we achieved an increased robustness against noise. Here we report ongoing work on their...

Visual self-localization with morphological neural networks

A Self-Reconstructing Algorithm for Single and Multiple-Sensor Fault Isolation Based on Auto-Associative Neural Networks

Recently different approaches have been developed in the field of sensor fault diagnostics based on Auto-Associative Neural Network (AANN). In this paper we present a novel algorithm called Self reconstructing Auto-Associative Neural Network (S-AANN) which is able to detect and isolate single faulty sensor via reconstruction. We have also extended the algorithm to be applicable in multiple faul...

Nonstationary color tracking for vision-based human-computer interaction

Skin color offers a strong cue for efficient localization and tracking of human body parts in video sequences for vision-based human-computer interaction. Color-based target localization could be achieved by analyzing segmented skin color regions. However, one of the challenges of color-based target tracking is that color distributions would change in different lighting conditions such that fix...