Segmentation of shadow images using IR based adaptive Level set model
Ganta Raghotham Reddy, Syed Zaheeruddin, Narsimha Baddiri, R. Rameshwar Rao · 2011
Images captured under non uniform lightening and illumination conditions consist of unwanted shadow regions. Segmentation of these images using conventional level set methods show improper results which is a major problem in many real time applications such as medical imaging, pattern recognition etc. In this paper we propose an adaptive Level set model by introducing a new adaptive force function on the level sets evolution based on reflectance & illumination present in the image. This method is proved to be successful in segmentation of images by excluding the shadow regions present in the images.