We will now begin a series of posts, that aims to point out which sensor and optical details should be considered while selecting components for a machine vision system.
First, we can take look at Figure 1, which visualises image-capturing processes with related process phases.
The structure of the Series of Posts is divided into four image-capturing topics and related process phases which are visualised above in Figure 1. The phases are design, construction of the imager, control and capture. In our scope, image capturing aims to produce a high-quality optical image (a detector array) for the following computer vision processes.
This series of posts will cover all four topics and processes, with related process phases. The posts are organised as follows. At first, 2.1 briefly introduces two important standards to enhance the reader’s understanding of how sensors are compared and how a standard can make the device-controlling phase easier.
Post 2.2 presents advanced information about machine vision sensors by introducing their physical model and describing how the optical image is formed from the captured photons. 2.3 Discusses the sensor properties and Bayer pattern. The final post in series 2 is Post 2.4, which shows how to pre-process colour filter arrays.
We will leave the details of optics and optomechanical components to be explored in series 3 and finalise the processes through device controlling and imaging setups in Series #4.
Found something useful? Wish to cite? These websites are based on my dissertation. For citations and more information, click here to see the scientific version of it.
List of related Posts