چکیده (انگلیسی):

In a fast growing industrial world, carriers are required to carry products from one manufacturing plant
to another which are usually in different buildings or separate blocks. This study intends to automate
this sector using vision controlled mobile robots instead of laying railway tracks which are both
expensive and inconvenient. To achieve this purpose an autonomous robot with computer vision as its
primary sensor for gaining information about its environment for path following is developed. The
proposed Line Follower Robot (LFR) consists of web cam mounted on the vehicle and connected to
Matlab platform. A PID control algorithm will be applied to adjust the robot on the line. The proposed
LFR is accomplished through the following stages: Firstly, the image is acquired using the web cam.
The acquired RGB image is converted to another color coordinates for testing and comparing to choose
the best color space. After that, the image contrast is enhanced using histogram equalization and then
Wiener, Lee and Kuan filters are implemented to decide the best filter to be implemented.
Subsequently, the basic morphological operations are carried out to choose the suitable operation to be
utilized. The results are evaluated qualitatively and quantitatively from the points of Peak Signal-to-
Noise Ratio (PSNR), entropy and image smoothness. The results show that the closing process is more
suitable for the vision enhancement purpose, as well as the wiener filter gives the best result as regards
the time and efficiency. Besides, the demonstrated LFR is capable of tracking a pre specified colored
line as long as it is different from the surroundings.