Here's the question: What colors are represented in the following three pictures?
A : Orange, green, and blue;
B : Darker shades of orange, cyan, and purple;
C : Orange leans slightly towards brown, cyan leans slightly towards green, and blue leans slightly towards purple.
It seems no one can accurately say what color these three are...
Well, actually, I don't know the exact names of these three colors either. Maybe a professor at an art academy would know them!
After discovering the mystery of light dispersion, Newton began to deduce: since white light can be decomposed and synthesized, can the other seven colors of light also be decomposed or synthesized? Thus, numerous experiments and constant calculations filled his later life.
Some time later, through calculations, Newton concluded that only red, green, and blue light out of the seven colors could not be decomposed, and therefore could not be synthesized. The other four colors could be created by combining these three in different proportions. Thus, red (R), green (G), and blue (B) were called the "three primary colors of light" or "three primary colors of light" (note that this is different from the familiar three primary colors "magenta, yellow, and cyan"). After reaching this conclusion through calculations, Newton passed away before completing his experiment. Some time after his death, his students finally completed the experiment he had left unfinished, and combined with Newton's calculations, the theory of optical color was officially unveiled.
So many years later, a drawing tool was added to our Windows system. In the drawing tool, we can synthesize various colors by using the ratio of the three primary colors of red, green and blue (each from 0 to 255).
What does Newton's discovery of the "three primary colors of light" have to do with our topic today? Here comes today's protagonist— the Banner iVu Color image sensor .
As a newcomer to Banner Vision's product line, iVu Color naturally possesses unique capabilities. Just as Newton's discoveries enabled the synthesis of any color of light from the three primary colors of red, green, and blue, iVu Color can decompose any color of light into the three primary colors of red, green, and blue .
Typically, color cameras are used to identify the presence of one or more colors in an image, or to determine if it is a certain color and the area covered by that color. They don't tell you what color it is, even when you provide any given color. However, some visual applications require the camera to tell you "what color this is," and to perform color sorting or monitor color changes.
The following application demonstrates this feature of iVu Color.
These are used yarn beams. We number them to match the test results. You can see that several yarn beams here are similar in color. Can we reliably distinguish their colors?
By analyzing the color using the Average Color tool in iVu Color, we can obtain the red (R), green (G), and blue (B) grayscale values, as well as the brightness, of the color as determined by the camera. The RGB grayscale values for this color are: R=69, G=157, B=134.
This table lists the analysis data for nine yarn beams. As you can see, colors that appear similar to each other have vastly different RGB values. When this data is sent to a host computer or PLC, the yarn beams of different colors can be sorted according to the threshold range set for each color.
The setup for this application is incredibly simple. You only need to draw the detection region (ROI), select the desired color analysis algorithm—whether it's based on red (R), green (G), and blue (B), or on hue (H), saturation (S), and brightness (I). There are no other parameters that need to be set. Simple enough, right? Isn't this unique color recognition ability even more impressive than that of art professors?
The same principle can also be applied to other similar applications, such as monitoring paint color matching. Isn't that amazing!
Banner has been deeply involved in intelligent manufacturing during the "slow bull" era.
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Comprehensive Analysis of Machine Vision
