Work

deadleaves: Creating cluttered visual stimuli in Python

Year: 2026

Type: article

Abstract: The Dead Leaves Model (Matheron, 1968) is a stochastic image generation model.The model creates images by sampling objects from a predefined family of distributions.Each object ("leaf") is typically a simple shape, such as a circle or ellipse, and its properties (e.g., position, size, orientation, color) are randomly drawn from these distributions.This sampling process allows precise control over image statistics, which makes it possible to vary or fix specific leaf properties as desired.As a consequence, Dead Leaves Models are widely adopted in the study of image statistics (Lee et al., 2001;Madhusudana et al.,

Source: The Journal of Open Source Software

DOI: 10.21105/joss.10531

Authors: Swantje Mahncke, Thomas S. A. Wallis, Lynn Schmittwilken

Institution: Technische Universität Darmstadt

Topic: Visual perception and processing mechanisms

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: diamond

Funders: European Commission, Deutsche Forschungsgemeinschaft

Awards: G2258400832, G356110882, G705501481

OpenAlex ID: W7171531624