Removal of specular reflections in tooth color image by Perceptron neural nets

Seong Taek Lee, Tae Ho Yoon, Kyeong Seop Kim, Kee Deog Kim, Wonse Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

This study presents the removal algorithm of specular reflections in a tooth color image to eliminate the specularities which degrades the performance of color image segmentation algorithms. Our proposed methodology includes two tasks: (i) automated detection of specular reflections by Perceptron neural nets and (ii) recursive corrections of the specularities by applying a smoothing spatial filter on the target pixels (specular regions) based on the decision of Perceptron.

Original languageEnglish
Title of host publicationICSPS 2010 - Proceedings of the 2010 2nd International Conference on Signal Processing Systems
PagesV1285-V1289
DOIs
Publication statusPublished - 2010
Event2010 2nd International Conference on Signal Processing Systems, ICSPS 2010 - Dalian, China
Duration: 2010 Jul 52010 Jul 7

Publication series

NameICSPS 2010 - Proceedings of the 2010 2nd International Conference on Signal Processing Systems
Volume1

Conference

Conference2010 2nd International Conference on Signal Processing Systems, ICSPS 2010
Country/TerritoryChina
CityDalian
Period10/7/510/7/7

All Science Journal Classification (ASJC) codes

  • Signal Processing

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