LeafAreaExtraction

LeafAreaExtraction is a Python script designed to calculate the leaf area from scanned leaf images.

Features

• Automatic Thresholding: Utilizes Otsu's method for image binarization to distinguish leaves from the background.
• Batch Processing: Supports processing multiple images within a specified directory.
• Customizable Background: Offers options to handle images with black backgrounds.
• Summary Generation: Provides a summary of the calculated leaf areas.

Prerequisites

Ensure you have the following Python libraries installed:

• numpy
• Pillow (PIL Fork)
• scipy

You can install them using pip:

pip install numpy pillow scipy

Usage

To run the script, use the following command:

python leafArea.py <InputPath>

Where <InputPath> can be:

• A directory containing multiple image files.
• A single image file.

Additional Flags

• -F: Force overwrite of existing files.
• -black: Specify if the images have a black background.
• -sum: Produce a summary only.

Example

To process all images in the 'demo' directory:

python leafArea.py demo

Notes

• The script attempts to retrieve the DPI (dots per inch) information from the image metadata. If unavailable, a default value is used.
• It employs Otsu's method for image binarization to separate the leaf from the background.
• The calculated leaf area is based on the number of pixels corresponding to the leaf, adjusted for the image's DPI to provide a real-world measurement.

Copyrights

The pilfonts folder contains a subset of the pilfonts collection from EFFBot, which are based on X11 fonts. Please refer to the pilfonts/README file for copyright details.