Closed boundary face detection in grayscale images using watershed segmentation and DSFPN

Author

Yeong, Lee Seng ; Ang, Li-Minn ; Seng, Kah Phooi

Author_Institution

Sch. of Electr. & Electron. Eng., Univ. of Nottingham, Semenyih

fYear

2009

fDate

8-11 Feb. 2009

Firstpage

1

Lastpage

4

Abstract

In this paper we describe a face detection method from grayscale images using a watershed based region segmentation with a neural network classifier. The algorithm segments the image into regions using a watershed algorithm. The regions are later merged and filtered leaving highly probable face region candidates. Using the dynamic supervised forward propagation network (DSFPN), the system then verifies the possible candidate regions for faces and outputs the closed boundary for detected face regions.

Keywords

face recognition; filtering theory; image segmentation; neural nets; DSFPN; closed boundary face detection; dynamic supervised forward propagation network; grayscale images; image segmentation; neural network classifier; region segmentation; watershed segmentation; Detectors; Face detection; Filtering; Gray-scale; Image segmentation; Intelligent networks; Merging; Pixel; Rain; Signal processing algorithms; DSFPN; Grayscale face detection; Watershed;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communications Systems, 2008. ISPACS 2008. International Symposium on

Conference_Location

Bangkok

Print_ISBN

978-1-4244-2564-8

Electronic_ISBN

978-1-4244-2565-5

Type

conf

DOI

10.1109/ISPACS.2009.4806698

Filename

4806698