See a list of publications below or visit the Photonics academic staff page and click on a particular member of staff to access their personal web page, which includes a list of their own publications.
@inproceedings{Chakraborty:2016:10.1109/NCC.2016.7561108,
author = {Chakraborty, BK and Bhuyan, MK and Kumar, S},
doi = {10.1109/NCC.2016.7561108},
title = {Adaptive propagation-based skin segmentation method for color images},
url = {http://dx.doi.org/10.1109/NCC.2016.7561108},
year = {2016}
}
TY - CPAPER
AB - Segmentation of skin regions from color images has many important Computer Vision applications. But, accuracy of existing skin detection methods are severely affected by the color similarity between the background and actual skin regions. Probabilistic approaches using skin probability maps (SPMs) can solve this problem to an extent. In this paper, a novel method has been proposed which uses seeded region growing method. Region growing is implemented by an adaptive cost propagation and neighborhood analysis scheme. The initial seeds are obtained from the SPM. It is observed from the experimental results that the proposed method can perform better compared to the existing skin segmentation methods for different illumination and background conditions.
AU - Chakraborty,BK
AU - Bhuyan,MK
AU - Kumar,S
DO - 10.1109/NCC.2016.7561108
PY - 2016///
TI - Adaptive propagation-based skin segmentation method for color images
UR - http://dx.doi.org/10.1109/NCC.2016.7561108
ER -