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

Lee Seng Yeong, Li Minn Ang, Kah Phooi Seng

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
DOIs
Publication statusPublished - 01 Dec 2008
Event2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008 - Bangkok, Thailand
Duration: 08 Feb 200911 Feb 2009

Conference

Conference2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
Country/TerritoryThailand
CityBangkok
Period08/02/0911/02/09

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