Image recognition is the main content based on image.

Image recognition is based on the main features of images.

Eye movement research in image recognition shows that the line of sight always focuses on the main features of the image, that is, the places where the curvature of the image contour is the largest or the direction of the contour changes suddenly, and these places have the largest amount of information. And the scanning route of eyes always turns from one feature to another in turn.

It can be seen that in the process of image recognition, the perception mechanism must eliminate redundant information input and extract key information. At the same time, there must be a mechanism in the brain responsible for integrating information, which can organize the information obtained in stages into a complete perceptual image. In computer vision recognition system, image content is usually described by image features. In fact, image retrieval based on computer vision can also be divided into three steps similar to text search engines: feature extraction, index establishment and query.

Introduction to image recognition:

Image recognition refers to the technology of processing, analyzing and understanding images by computer to identify different patterns of targets and objects.

In general industrial use, industrial cameras are used to take pictures, and then software is used to make further recognition according to the gray difference of the pictures. The traditional image recognition process can be divided into four steps: image acquisition, image preprocessing, feature extraction, image recognition technology and so on. Cognex is the representative of image recognition technology software abroad, and Tuzhi and Poseidon Technology are the representatives in China. In addition, in geography, it refers to the technical application of classifying remote sensing images.