Acquaintance machine vision and computer vision of these two terms, the feeling is almost, are the visual, and the computer is the machine, the study of computer vision is not the study of machine vision? Perhaps many people have the same idea, but through the involvement of this area will find that although there are many similarities, but in fact they are different disciplines. So what is machine vision, computer vision, what is the difference between them and what is in common?
We study the purpose of computer vision is mainly based on human visual characteristics to the computer to bring "bright", it is better to replace people to work or complete the work can not be completed by mankind, better for enterprises to reduce labor and improve production Efficiency, but also continue to improve people's quality of life. Research machine vision is better for industrial manufacturing in the industry to provide more support for improving product quality and productivity.
What is machine vision?
Machine vision, that is, the use of machines instead of the human eye to do the measurement and judgment. Machine vision system refers to the image through the machine vision products (ie, image capture device, sub-cmos and ccd two) to capture the image, and then transfer the image to the processing unit, through the digital processing, according to the pixel distribution and brightness, color and other information , To determine the size, shape, color and so on. And then according to the results of the decision to control the scene of the device action. Currently widely used in food and beverage, cosmetics, building materials and chemicals, metal processing, electronics manufacturing, packaging, automobile manufacturing and other industries.
Machine vision is a relatively new technology that provides a number of technologies for the manufacturing industry to improve product quality, increase productivity and operational safety. In other related technologies, machine vision includes image digitization, image manipulation and image analysis, usually using a computer to complete, so it is a professional that covers image processing and computer vision. However, we also emphasize that machine vision, computer vision and image processing are not synonymous. Neither of them is a subset of any other two. Computer vision is a branch of computer science, and machine vision is a special field of systems engineering. Machine Vision does not specify the use of computers, but often in the access to high-speed processing speed often use special image processing hardware, the speed is ordinary computer can not be achieved.
What is computer vision?
"Computer vision" refers to the computer to achieve human visual function, the objective world of three-dimensional scene perception, recognition and understanding. Computer vision is an area that is at the forefront of instruction. We believe that computer vision, or simply "vision", is a cause that is different from the study of human or animal vision. It uses geometry, physics, and learning techniques to build models to process data in a statistical way. Therefore, from our point of view, in a thorough understanding of the camera performance and physical imaging process, based on the visual of each pixel for a simple reasoning, will be in a number of images may be integrated into a harmonious whole, to determine the pixel set To distinguish them from each other, or to infer some shape information, using geometric information or probabilistic statistical techniques to identify objects.
With the progress of the times, scientific research has become more extensive. In all areas, want to progress, you need to carry out experimental research, and scientific experiments require specific equipment, high-speed camera is essential. The high-speed, high-resolution digital industrial camera is a high-performance industrial digital camera with high resolution, high precision, high definition, good color reproduction and low noise. The USB2.0 standard Interface, easy to install, not only very suitable for indoor and outdoor industrial testing applications, but also scientific research. Its characteristics are as follows:
Computer vision is a sub-field of artificial intelligence, its purpose is to let the computer understand the image of a scene or feature, which includes the following aspects of the explanation:
1. Obtain the required data in order to control the target through the automatic acquisition and analysis of the image.
2. To provide a navigation system for a robot capable of doing things and responding to change the position.
3. Use a system of video cameras, robots, or other devices, and use computers to do visual analysis operations or behaviors. Typical applications include automatic monitoring, optical character recognition and other non-contact applications.
4. Machine vision is an application of computer vision in factory automation. Just as the supervisor works on an assembly line, visually monitoring objects and judging their quality, the machine vision system uses cameras and image processing software to perform similar monitoring. A machine vision system is a computer that makes decisions based on digital image analysis.
In summary, in fact, machine vision and computer vision is not very clear boundaries, but closely linked together, they have the same theory, but in actual application is different, computer vision and machine vision are from Image or image sequence to obtain the description of the world, therefore, the basic layer of image acquisition, image processing, the middle of the image segmentation, image analysis and high-level image understanding of these theoretical knowledge for both are " Not from their case. "
