HSV(HSB) to LCHab(cielch,LCH,HLC,LSH) Converter - Color Space Converter

HSV(HSB) color space introduction

Also known as the HSV(HSB) color space.There are 3 channels in total, hue,range from 0 to 360.saturation,range from 0 to 100.value,range from 0 to 100.
Origin: The HSV color space was invented in the 1970s with the goal of combining an intuitive understanding of color with the needs of digital color processing.
Main Names: HSV or HSB (where B stands for Brightness), which includes three color channels H (Hue), S (Saturation), and V (Value/Brightness).
Typically expressed as a triplet, for example: hsv(120, 100%, 100%) represents a pure green color with maximum saturation and brightness.
Usage: Used in color detection and segmentation in image analysis and processing, color selection and adjustment in graphic design software, and in color pickers in user interface design.
Additionally, HSV can be algorithmically converted to and from RGB. The HSV model is highly intuitive for color adjustments, allowing users to independently alter the perceptual attributes of color. HSV is similar to HSL, but HSV's Value (V) takes into account the effects of hue and saturation, while HSL's Lightness (L) represents the midpoint between pure black and pure white.

LCHab(cielch,LCH,HLC,LSH) color space introduction

Also known as the LCHab(cielch,LCH,HLC,LSH) color space.There are 3 channels in total,lightness,range from 0 to 100.chroma,range from 0 to 100.hue,range from 0 to 360.
Derived from the CIELAB color space, it represents colors in a cylindrical coordinate system.
Commonly known as CIELCH or LCH, also referred to as LCH_ab.
Colors in the LCH color space are expressed using lightness (L*), chroma (C*), and hue angle (H°), providing a more intuitive way of specifying colors compared to the Cartesian coordinates used in CIELAB.
The LCH color space is extensively used in industries and applications where accurate color differentiation is crucial, such as graphic design, printing, and paint manufacturing.
The LCH color space can be more convenient for understanding color relationships and specifying colors in a more perceptual manner.

You might also want to convert HSV color space to these formats: