Lip segmentation based on Lambertian shadings and morphological operators for hyper-spectral images
作者：
Highlights：
• We propose an automatic lip segmentation method for hyper-spectral images using a blood concentration map as input data.
• We generate a subset of Lambertian shaded maps per input image as a pre-processing step to enhance the lip spatial pattern.
• We perform morphological reconstructions under texture constraints for locating the lip region in each subset.
• We use Fourier descriptors to model reconstructed and shaded lip boundaries and to extract the segmented candidate.
• The experiments have been conducted on hyper-spectral images from a private and a public datasets.
摘要
Highlights•We propose an automatic lip segmentation method for hyper-spectral images using a blood concentration map as input data.•We generate a subset of Lambertian shaded maps per input image as a pre-processing step to enhance the lip spatial pattern.•We perform morphological reconstructions under texture constraints for locating the lip region in each subset.•We use Fourier descriptors to model reconstructed and shaded lip boundaries and to extract the segmented candidate.•The experiments have been conducted on hyper-spectral images from a private and a public datasets.
论文关键词：Lip spatial pattern,Segmentation,Blood concentration map,Hyper-spectral,Lambertian shading,Morphological,Fourier descriptors
论文评审过程：Received 4 April 2016, Revised 4 October 2016, Accepted 5 October 2016, Available online 6 October 2016, Version of Record 25 October 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.10.007
