Sunday 21st of January 2018

A Shadow Detection and Removal from a Single Image Using LAB color Space

Ashraful Huq Suny and Nasrin Hakim Mithila

Due to obstruction by an object light from a source cannot reach the area and creates shadow on that area. Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. Thus shadow detection and removal is a pre-processing task in these fields. This paper proposes a simple method to detect and remove shadows from a single RGB image. A shadow detection method is selected on the basis of the mean value of RGB image in A and B planes of LAB equivalent of the image and shadow removal method is based on the identification of the amount of light impinging on a surface. The lightness of shadowed regions in an image is increased and then the color of that part of the surface is corrected so that it matches the lit part of the surface. The advantage of our method is that removing shadow does not affect the texture and all the details in the shadowed regions.

Keywords: Shadow detection, shadow removal, LAB color space, illumination

Download Full-Text


Ashraful Huq Suny
Ashraful Huq Suny will receive B.Sc. degree in Computer Science and Engineering (CSE) from Chittagong University of Engineering & Technology (CUET), Chittagong, Bangladesh in July, 2013. Currently he is a final year student Dept. of CSE. His research interest includes Digital Image Processing, Computer Vision.

Nasrin Hakim Mithila
Nasrin Hakim Mithila has received B.Sc. degree in Computer Science and Engineering (CSE) from Military Institute of Science and Technology (MIST), Dhaka, Bangladesh in 2012, December. Currently, she is employed as a Lecturer in Daffodil International University, Bangladesh and pursuing her M.Sc. from Bangladesh University of Engineering & Technology (BUET). Her research interest includes Wireless Networking and Digital Image Processing.

IJCSI Published Papers Indexed By:





IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482

More contact details »