Image calibration and analysis toolbox - a free software suite for objectively measuring reflectance, colour and...

Area of Science:

• Biology
• Ecology
• Computer Science

Background:

• Quantitative measurements of color, pattern, and morphology are crucial across various scientific disciplines.
• Digital cameras offer advantages over traditional methods like spectrometry but require calibration for accurate scientific use.
• Existing tools for objective image measurement are often lacking, hindering researchers.

Purpose of the Study:

• To develop an image processing toolbox for calibrating consumer digital cameras for quantitative scientific measurements.
• To enable objective measurement of reflectance, color, and pattern from RAW camera files.
• To facilitate the modeling of human and non-human visual systems using camera data.

Main Methods:

• Developed a toolbox that processes RAW camera files to generate radiance-linear images.
• Normalized images using grey standards to control for lighting variations.
• Implemented functions to convert images to animal visual systems (cone-catch values) and perform image analysis on 32-bit floating-point images.

Main Results:

• The toolbox successfully generated radiance-linear images from various camera brands.
• Normalized images allowed for objective reflectance and color measurements.
• Cone-catch mapping was robust, producing data consistent with spectrometer-based estimates.
• 32-bit processing enhanced precision and reduced data loss for complex surfaces.

Conclusions:

• The developed image processing toolbox enhances the quantitative use of digital cameras in biology.
• It provides researchers with a free, accessible tool for objective measurement of visual signals in animals and plants.
• The software supports accurate color and pattern analysis, crucial for understanding visual ecology.