Artificial intelligence, machine vision, the relation and distinction between computer vision
What are the technology of machine vision?
Machine vision is a comprehensive technology, including image processing, mechanical engineering technology, control, electric light source, lighting, optical imaging, sensors, analog and digital video technology, computer hardware and software technology (
Image enhancement and analysis of algorithms, image card, I/O card, etc. )
In daily work, often hear from artificial intelligence, machine learning, computer vision, image processing, pattern recognition and other professional term, don't know the specific meaning, also don't know about whether the machine vision, small make up today to summarize the artificial intelligence, machine learning, computer vision, image processing, pattern recognition and the meaning of distinction.
The industry application of machine vision in simple terms, a machine vision is to use machines to replace human eyes do measurement and judgment.
Machine vision system by machine vision products (
The image taking device, CMOS and CCD two)
Will be getting goals into image signal, send it to the dedicated image processing system, get be morphological information of the target, and the according to the pixel distribution and brightness, color and other information, converted to digital signal;
Image system for various operation these signals to extract the characteristics of the target, and according to the results of determination to control the scene of the equipment.
The nature of the artificial intelligence of artificial intelligence discipline basic thought and basic content.
That artificial intelligence is the study of human intelligence activity rule, the structure has a certain intelligent artificial system, study how to make the computer to complete the previous person's intelligence is needed to do the job, also is the study of how to apply the computer hardware and software to simulate the basic theory of some human intelligent behavior, method and technology.
Artificial intelligence in terms of its nature, is the information to the person's thinking in the process of simulation.
The essence of machine learning machine learning is to study how the computer simulation or human learning behavior, to gain new knowledge or skills, reorganize the existing knowledge structure to improve its own performance.
It is the core of artificial intelligence, it is the basic way to make the computer intelligence and its application in the fields of artificial intelligence, it mainly use comprehensive induction, rather than to deduce.
Is to the person's learning behavior simulation.
Computer vision: use a computer to simulate human vision mechanism's ability to acquire and process information.
Is the visual simulation.
Computer vision research object mainly is mapped to a single or multiple images on the 3 d scene, such as the reconstruction of the 3 d scene.
Computer vision research to a large extent on the content of the image.
Image processing, image processing technology to convert the input image to characteristics of another image.
For example, by processing the output images have higher letter -
S/n ratio, or by enhancing process highlight the details of image, so that the operator of the inspection.
In computer vision research often preprocessing and feature extraction using image processing technology.
Image processing and image analysis of the research object is mainly two-dimensional images, the realization of image transformation, especially for the operation of the pixel level, and increase the image contrast, for example, edge detection, noise and geometric transformations such as image rotation.
This feature indicates that both in image processing and image analysis of the research content has nothing to do with the specific content of the image.
Pattern recognition: pattern recognition technology based on statistical properties or structure that can be drawn from the image information, the image is divided into the category of the designated.
For example, character recognition or fingerprint identification.
In computer vision, pattern recognition techniques are often used to certain parts of the image, such as segmentation region recognition and classification.
Pattern recognition using various methods to extract information from signal, mainly using the statistical theory.
This is a major direction in the field of information extracted from image data.