The paper presents methods for images processing in order to path planning of a mobile robot in an environment with obstacles. The CNNs (Cellular Neural Networks) methods have been considered a good solution for image processing in autonomous mobile robots guidance. The choice of CNNs for the visual processing part is based on the possibility of their hardware implementation in large networks o...

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...

the estimation of metallurgical parameters of flotation process from froth visual features is the ultimate goal of a machine vision based control system. in this study, a batch flotation system was operated under different process conditions and metallurgical parameters and froth image data were determined simultaneously. algorithms have been developed for measuring textural and physical froth ...

In the past few years, deep convolutional neural networks (CNNs) trained on large image data sets have shown impressive visual object recognition performances. Consequently, these models have attracted the attention of the cognitive science community. Recent studies comparing CNNs with neural data from cortical area IT suggest that CNNs may—in addition to providing good engineering solutions—pr...

Self-Organizing Map (SOM) is an unsupervised neural network using for object detection and recognition in numerous image processing applications. This paper presents a methodology to achieve an automated detection of nipples by obscene pictures. The proposed system is composed of a human skin detection using for non-skin removal process based on image processing and a nipple detection using for...

As autonomous vehicles are developing and maturing the technology to implement domestic vehicles. The critical technological problem for self-driving is traffic sign detection recognition. A recognition system essential an intelligent transportation system. digital image processing techniques object extraction of features from visual objects a huge process include many conversions pre-processin...

Nowadays, with the emerging of the new applications like robot control in image processing, artificial vision for visual servoing is a rapidly growing discipline and Human-machine interaction plays a significant role for controlling the robot. This paper presents a new algorithm based on spatio-temporal volumes for visual servoing aims to control robots. In this algorithm, after applying necess...

Nowadays, with the emerging of the new applications like robot control in image processing, artificial vision for visual servoing is a rapidly growing discipline and Human-machine interaction plays a significant role for controlling the robot. This paper presents a new algorithm based on spatio-temporal volumes for visual servoing aims to control robots. In this algorithm, after applying necess...