Image Processing Analysis of Plant Morphometry with Examples from the Genus Sedum (Crassulaceae)

Area of Science:

• Botany
• Plant Taxonomy
• Digital Imaging

Background:

• The genus *Sedum* presents complex systematics and classification challenges.
• Accurate field data collection is crucial for identifying *Sedum* taxa, but traditional methods can lead to sample deterioration.

Purpose of the Study:

• To develop a field-adaptable digital measurement system for *Sedum* species.
• To enhance the accuracy of morphological data collection and facilitate statistical analysis in *Sedum* taxonomy.

Main Methods:

• Digitization of the classic millimeter paper measurement technique.
• Creation of a variable measurement scale based on photo pixel count and pixel/millimeter ratio.
• Application of the method to analyze flowers of native *Sedum* species in Romania.

Main Results:

• The digital method provides quantifiable values for statistical processing.
• The system allows for adaptable measurement scales based on specimen size.
• Demonstrated applicability in analyzing *Sedum* flowers from Romania.

Conclusions:

• The proposed digital measurement method enhances traditional *Sedum* taxonomy.
• This approach improves data accuracy and accessibility for field botanists.
• Facilitates precise identification and classification of *Sedum* succulent plants.