Shadow Segmentation With Image Thresholding for Describing the Harshness of Light Sources.

Abstract

Light sources are usually described by luminous intensity, color temperature and color rendering index, while the harshness of the light source is often overlooked. It is also referred to as the softness or light quality and can be determined by analyzing the shadows it produces. Shadow detection is often addressed in image analysis research, but the methods usually provide solutions for removing shadows. In this research, a method is proposed for isolating shadows from test images, applying thresholding for segmentation of the shadow into umbral and penumbral regions, calculating the shadow metric, and finally calculating the final numerical evaluation of the quality of the light source, i.e., the degree of its softness or harshness. The method proved to be efficient in analyzing halogen, LED and xenon light sources in conjunction with light-shaping attachments that soften the light. The method is not influenced by the intensity of the light source and focuses exclusively on the quality of the light. The method provides a single value to describe this light property and has the potential to become a standardized method for describing the quality of light sources and light-shaping attachments.