Version 3.2.7

Subminor Version - Released on Nov 28, 2025

1. Color Statistics

This section presents the new Color Statistics panel, allowing users to view detailed HSV and RGB metrics for their sample, including mean, standard deviation, and percentile values.

• After the AI analysis is completed, the Dashboard now allows you to click on the “Dominant Color” panel.

• This opens a modal pop-up containing the full color statistics shown below.

• The statistics include Mean, Standard Deviation, 5th Percentile, and 95th Percentile for the following variables:

  • HSV Colorspace: H (Hue), S (Saturation), V (Value/Brightness)

  • RGB Colorspace: R (Red), G (Green), B (Blue)

Understanding HSV vs. RGB

RGB (Red, Green, Blue)

RGB is a color model based on light intensity. Each pixel is represented by how much red, green, and blue light it contains. It is the native format for most cameras and images.

Use the RGB colorspace when:

• You want to analyze the raw captured colors exactly as recorded by the camera

• You are comparing brightness, red/green defects, or darker/lighter tendencies

• You need pixel-level comparisons or are debugging the acquisition process

Keep in mind: RGB is more sensitive to lighting variations, reflections, and camera exposure settings.

HSV (Hue, Saturation, Value)

HSV separates color information into three intuitive components:

• Hue: the actual color tone (e.g., yellow, green, red)

• Saturation: color intensity (muted vs. vivid)

• Value: brightness

HSV is more robust for describing perceptual color differences because it separates brightness from chromatic information.

Use the HSV colorspace when:

• You want to understand the true color tone of the seeds

• You are comparing samples captured under different lighting conditions

• You need a more human-interpretable representation of color variations

Hue is especially helpful for comparing processing methods and tracking color evolution across time.