Paper
28 April 2009 Shadow removal from textured images
Author Affiliations +
Abstract
Shadows and shadings are typical natural phenomena, which can often be found in images and videos acquired under strong directional lighting, such as those taken outdoors on a sunny day. Unfortunately, shadows can cause many difficulties in image processing and vision-related tasks, such like image segmentation and object recognition. Therefore, shadow removal is needed for improving the performance of these image understanding tasks. We present a new shadow removal algorithm for real textured color images. The algorithm is based on the statistical property of textures in images. The experimental results on real-world data are shown to demonstrate this algorithm.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiang He and Chee-Hung Henry Chu "Shadow removal from textured images", Proc. SPIE 7307, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VI, 73070P (28 April 2009); https://doi.org/10.1117/12.818983
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Detection and tracking algorithms

RGB color model

Matrices

Object recognition

Binary data

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