Machine vision is a branch of computer vision, is widely used in modern manufacturing industry, through the visual detection mode, greatly improve the production line production efficiency.

So what is the relationship and connection between machine vision and image processing technology?

First of all, we first understand the basic concept of machine vision. In the industry, it is generally believed that vision technology is to collect image information through industrial cameras and other image sensors, and then control the subsequent process action of automatic equipment by analyzing and processing the transformed image information.

The image processing technology is based on computer software technology, image processing and analysis technology in many aspects.

The connection between the two lies more in machine vision relying on image processing technology to achieve rapid identification and analysis results, on the other hand, image processing technology is an independent application field, but it is applied in machine vision technology.

So what are the applications of image processing technology in machine vision?

Image acquisition

Machine vision relies on CCD or CMOS industrial camera to collect the target image, the camera will collect the image information into digital image information transfer to the visual software, of course, now the camera has a considerable part of the direct output of digital image signal, exempt from the conversion process.

The image processing

In the actual work, we are easy to be disturbed by the production environment in the process of image acquisition, resulting in some problems such as color misalignment, collection deformation and so on. At this time, it is necessary to carry out the preprocessing process in advance. Usually, the operation is nothing more than some noise elimination, geometric correction, histogram equalization and other processing.

Image module separation

After the image is collected, we do not need all the information, so the image will be divided into different areas according to the characteristics of the image, from which we select the target we need. In general, we refer to the features of image segmentation: gray, color, texture, edge and so on.

Visual positioning and measurement

Such as our common projects in the application of visual technology, in the process of production, we need to measure of product, and the precision of the measurement is usually high, in this kind of high precision measurement requirements, it is hard to meet the human, which needs us through image processing method, the target for rapid positioning and measurement task.