Abstract In recent years, deep learning technology has gained widespread attention and been successfully applied in various applications, including machine vision for automatic driving. However, one of the major challenges this field is ability AI models to perform well complex scenes with varying weather conditions lighting conditions. The proposed scheme uses VR simulate different evaluate pe...

This paper investigates the relative target-object (rigid body) pose estimation for vision-based control. A closedform target pose estimation algorithm is developed and implemented. Moreover, PI-based visual control was designed and implemented in the camera (sensor) frame to minimize the effect of errors in the extrinsic parameters of the camera. The performance of the vision-based control alg...

A machine vision system utilizing color vision was investigated as a means to identify citrus fruits and to estimate yield information of the citrus grove in real-time. Images were acquired for 98 citrus trees in a commercial grove located near Orlando, Florida. The trees were distributed over 48 plots evenly. Images were taken in stationary mode using a machine vision system consisting of a co...

This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...

A machine vision system for estimating number of citrus fruit drop was developed in this study. The objectives of this study were to design rugged hardware, to develop an image processing algorithm for accurate estimation of fruit count and to conduct field experiments. Image acquisition hardware was developed to be used in a commercial citrus grove specifically for unfavorable imaging conditio...

Automation is central to producing high quality products in high-wage countries with an omnipresent shortage of skilled workers. becoming increasingly more complex due the higher flexibility produced goods. At same time, this places demands on integrated image processing and, for reason, machine vision solutions have so far often fallen short expectations. The use 3D light field technology can ...

This research aims to develop a quality estimation system of bulk coffee grain based on machine vision technique that was mainly focused on finding the best subset of image feature combination. The subset was defined as the minimum number of features for achieving the reasonable level of identification or interpretation. For this purpose, a heuristic searching method based on genetic algorithm ...

Noise due to the sensor and the electronics of a camera is an undesirable issue in any machine vision application. Such noise tends to corrupt images and to obstruct any further analysis. An algorithm to detect and cancel such noise, using statistical methods, is presented in this paper. The proposed algorithm is an adaptive mean filter, which filters out image regions that are found to be nois...

Determination of the depth of the image feature distinctive automation and other industries of machine vision and computer vision technology in everyday life are becoming increasingly popular. Some techniques have been proposed to extract from the current depth of a 2D image of the feature, which defines a particular object or structure of the information. In many cases, these techniques are au...