Using Histograms to Understand Your Vision System Image Data
Why You Should be Using a P-Iris Lens in Your Vision System
Recently, a technology known as P-Iris (Precision Iris) has entered the machine vision market offering an alternative to the DC-Iris lenses. The P-Iris lens has the ability to reliably maintain and return to a specific aperture value while retaining to the ability to vary the aperture in challenging conditions where gain and shutter speed are at their predetermined limits. The user can set the aperture to the exact point where the depth of field is greatest and where diffraction has no impact on the sensor based on its pixel size, thus rendering a sharp and blur-free image.
The Truth About Enhancing Images: What’s Possible and What’s Not
Many of today's TV shows and movies, especially crime dramas, make enhancing digital images seem rather simple. So, does this mean that all digital enhancements we see on TV or in movies are fake? Not entirely, but many of them are. If you find yourself asking if that image enhancement is really possible, remember this: Could the data have been there in the first place? If the answer is no, then the magic of TV or movies might be helping to move the story along!
Why Monitor Calibration is Crucial when Setting up a Vision System
Your display is an essential interface when working with vision applications. Monitor calibration is an often overlooked yet crucial step in setting up a vision application, especially if visual inspection is the primary use for the camera. Even monitors from the same manufacturer, with the same model number, and connected to the same computer can display the same image with some variance in tonality or color.
Understanding Dynamic Range and Signal-to-Noise Ratio When Comparing Cameras
Dynamic Range and Signal-to-Noise Ratio are very helpful when comparing cameras and trying to select the particular camera to meet your needs. Dynamic Range and Signal-to-Noise Ratio are commonly mistaken with one another, so let’s clarify the differences with providing definitions, equations, and descriptions for each.
The Impact of a Lens’ Focal Length on a Vision System
Selecting a lens for a vision system plays a crucial part in the overall behavior of the system. Not only will it dictate your field of view and depth of field, but it can also have implications on your machine vision algorithms and rules. Let’s explore the impact that the lens’s focal length can have on a system using machine vision.
Why Sensor Size Matters When Selecting a Camera for an Imaging Application
When selecting a camera for an imaging application, the size of the camera’s sensor is an important consideration as sensor pixel size is directly related to its sensitivity. Sensor sizes, however, are not exactly as they may seem. A 1” sensor is indeed larger than 1/2” sensor but it does not measure exactly 1 inch in any of its dimensions including diagonally.
Sensitivity vs. Frame Rate in Low Light Imaging
Understanding Resolution in Digital Microscopy
An In-Depth Look at Bit Depth
The bit depth of a camera defines the number of distinct shades that are available for each pixel. Many imaging applications don’t require a bit depth of more than 8 bits, however when color accuracy is needed, high bit depth is key in detecting the slightest deviation from specific color tones. For instance, when inspecting paint in automotive assembly lines, high bit depth allows the industrial camera to perform the analysis with greater accuracy.