Tool to separate hue, saturation and value/brightness in an image. The separation of the HSV channels (for the 3 properties: hue, saturation and value) is used to analyze the components of the colors of each portion of an image.
HSV Channels - dCode
Tag(s) : Image Processing
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The HSV color space is a color model based on a perceptual representation of color.
The hue is commonly called color (mainly red, yellow, green, cyan, blue or magenta). It is common to represent the hue in a circle and give the value of the hue in degrees (over 360 degrees).
Example: 0° or 360° for red, 60° : yellow, 120° : green, 180° : cyan, 240° : blue, 300° : magenta.
Saturation refers to the intensity of the color between gray (low saturation or desaturation) and pure color (high saturation). The saturation is usually expressed as a percentage or between 0 and 1.
For each pixel in an image, calculate the value of T (hue), S (saturation), and L (brightness) and form three grayscale images with them.
dCode performs this separation automatically from an image file.
The main advantage of TSL over RGB is that the luminosity (the intensity of the image / luma), the hue and the saturation (the information on the color / chroma) are separated.
Example: To identify the basic color of a pixel, look at its hue (which is the only correct term for red, yellow, etc.)