Segmentação e Restauração Digital Automática de Imagens Frontais de Face 2D (An Automatic Framework for Segmentation and Digital Inpainting of 2D Frontal Face Images)

André Sobiecki (a.sobiecki@rug.nl)1, Gilson Antônio Giraldi (gilson@lncc.br)2, Luiz Antônio Pereira Neves (neves@ufpr.br)3, Carlos Eduardo Thomaz (cet@fei.edu.br)4


1University of Groningen
2Laboratório Nacional de Computação Científica (LNCC)
3Universidade Federal do Paraná
4Centro Universitário da FEI

This paper appears in: Revista IEEE América Latina

Publication Date: Dec. 2012
Volume: 10,   Issue: 6 
ISSN: 1548-0992


Abstract:
Nowadays applications that use face images as input for people identification have been very common. In general, the input image must be preprocessed in order to fit some normalization and quality criteria. In this paper, we propose a computational framework composed of digital image quality computation, segmentation of the damaged regions on face images by statistical decision, morphological operators and image restoration by inpainting techniques. Additionally, in this work we propose a new method for digital inpainting that considers as relevant information for such restoration the neighboring pixel intensities as well as prior information extracted from an image database. To assess the efficiency of the computational framework proposed, we have used 2D face images from public databases. The results show that our inpainting method performs similarly to the traditional ones on quasi-homogeneous regions and gives better results when the damaged areas includes complex image patterns.

Index Terms:
Image Processing, segmentation, inpainting, face images   


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