The technology of online automatic orange grading according to computer vision has been successfully implemented with the application of Visual C++6.0, MFC and other class libraries based on Windows2000 system.
This sequence of operations-image capture, early processing, region extraction, region labeling, high-level identification, qualitative /quantitative conclusion is characteristic of image understanding and computer vision problems.
Secondly, The paper discuss robot vision basic hardware configuration and function models of hardware which based on hardware model DAM6416P . The paper also introduce software design and development diagram of machine vision system, which applied to C6416 DSP .
Mobile robot is one of the important branches in the realm of robotics, its main aim is the research on the real-time control problem of robot system in the complicated environment, concerning the key techniques about task planning, movement planning and navigation, goal identifying and orientation, robot vision, multi-sensors information management and fusion as well as system integration.
Simulations are employed for calculating the perceived image and measuring the degree of CC using both 'human-perception' and 'machine-vision' indices.
To this end, a machine-vision-controlled automatic subculturing system for potato tissue cultures is proposed as a simpler and more cost-effective solution than the popular trend of imitating the manual sub-culturing task by a robot.
The long-range goal of this project is to demonstrate that major new applications of robotics will become feasible when small, low-cost, machine-vision systems can be mass produced.
A heterogeneous and reconfigurable machine-vision system
This paper describes a new machine-vision system, a HERMIA heterogeneous and reconfigurable machine for image analysis.