OpenCV HLS 颜色 space 范围
OpenCV HLS color space range
看我的代码，为什么控制台的第二行是170 10 121。
H是170，S是10，但为什么L是121。因为 L 必须小于 100:
中所见
In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and scaled to fit the 0 to 1 range.
If H<0 then H=H+360. On output 0 <= L <= 1, 0 <= S <= 1, 0 <= H <= 360.
The values are then converted to the destination data type:
- 8-bit images: S,L are scaled in [0,255], H=H/2, so H range is in [0-180]
- 32-bit (float) images: value are left as is.
因此，最后，对于 CV_8U 个图像，您将拥有以下值：
H in [0,180]
S,L in [0,255]
看我的代码，为什么控制台的第二行是170 10 121。
H是170，S是10，但为什么L是121。因为 L 必须小于 100:
In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and scaled to fit the 0 to 1 range.
If
H<0thenH=H+360. On output0 <= L <= 1,0 <= S <= 1,0 <= H <= 360.The values are then converted to the destination data type:
- 8-bit images: S,L are scaled in [0,255], H=H/2, so H range is in [0-180]
- 32-bit (float) images: value are left as is.
因此，最后，对于 CV_8U 个图像，您将拥有以下值：
H in [0,180]
S,L in [0,255]