This section provides overview, applications, and principles of image processing systems. Also, please take a look at the list of 3 image processing system manufacturers and their company rankings.
Table of Contents
An image processing system refers to a series of system configurations centered on image processing that processes and combines 2D and 3D images and data and reads their characteristics.
The general flow of processing is as follows.
The view of the object is converted into digital data that can be processed by a computer.
The image is improved for the purpose of subsequent processing.
Converts the input image into an image to be subject to subsequent evaluation processing.
Evaluate the feature images obtained by feature extraction according to the purpose.
This technology is indispensable for automatic machines and industrial robots because it enables various judgments and measurements in place of the human eye.
It is used in a variety of fields, including visual inspection to determine whether symmetrical workpieces are acceptable or not, identification and authentication using text, image models, and barcodes, and robot control based on 3D information such as stereo images.
The system is being introduced not only in the pharmaceutical and electronic device industries, but also in the daily necessities industry, for example, for inspection of foreign matter and stains on non-woven fabric products such as diapers and sanitary products.
Let us explain the principle.
Mainly CCD sensors are used to convert light distribution into electrical signals.
Smoothing, one type of preprocessing, is a process that gives a smooth out-of-focus grayscale change.
Smoothing is also called an averaging filter because it calculates the average value of pixels in the area covered by the filter and defines that value as the new pixel count.
It is used as a spatial filter to smooth (blur) an image and remove noise.
One of the feature images is a binary image.
Binarization is the process of reducing an image from several levels of density to only two levels of density, black and white.
One way to determine the nature of an image using tonal values is to use a histogram.
It takes the number of pixels on the horizontal axis and the frequency of pixels on the vertical axis, and graphs the information.
The histogram is then processed by dividing the number of shades on the horizontal axis of the histogram into two, with a pixel being 1 if the number of shades is greater than the number of shades, 0 if the number of shades is less, and so on.
Camera selection is very important in image processing. Cameras are used in image processing systems to acquire images of workpieces in the image input process. At production sites, for example, a camera that functions as an eye is used to capture images of the object to be inspected, such as a circuit board, in order to inspect the flaws and condition of the product. If the images taken are different each time, it will cause variations in inspection accuracy. Therefore, it is important to select the appropriate camera as well as the lens and lighting to ensure that the shooting conditions are the same as much as possible.
There are two main types of imaging systems. The first is the area sensor camera method. This is the most commonly used imaging method and provides a two-dimensional image.
The size of the image that can be acquired is determined by the camera. The second is the line sensor camera method. This method continuously acquires one-dimensional images and produces two-dimensional images. The camera or workpiece must be moving in a certain direction when acquiring images.
This method is effective for capturing images of relatively large workpieces. The key to a successful project is to select an appropriate camera based on a thorough understanding of the requirements.
According to a report published by market research firm Fuji Keizai on March 17, 2020, the global market for image processing systems are expected to be 1.2836 trillion yen in 2019. The report also predicts that the market will increase to 1.5024 trillion yen by 2022, in line with the future shift to AI and IoT. Demand is expected to continue to grow as various devices are equipped with high-precision image processing systems.
There are various types of image processing systems on the market. When a workpiece has unstable contours or a noisy image, image processing systems can automatically discriminate between noise and information to obtain the desired image.
*Including some distributors, etc.
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Ranking as of January 2023 in United States
Derivation MethodRank | Company | Click Share |
---|---|---|
1 | Laizhou Weiyi experimental machine manufacturing Co., Ltd. | 50% |
2 | Delta Electronics | 50% |
Ranking as of January 2023 Globally
Derivation MethodRank | Company | Click Share |
---|---|---|
1 | Laizhou Weiyi experimental machine manufacturing Co., Ltd. | 50% |
2 | Delta Electronics | 50% |
Derivation Method
The ranking is calculated based on the click share within the image processing system page as of January 2023. Click share is defined as the total number of clicks for all companies during the period divided by the number of clicks for each company.Number of Employees
Newly Established Company
Company with a History
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