Shadow detecting using mathematical morphology and Smirnov test

Xing Chao, Li Yanjun, Zhang Ke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An algorithm combining intensity information and geometric features is introduced in order to detect cast shadows in a gray level image. A simple connected candidate shadow region and a corresponding region are selected by setting gray level thresholds, and neighbor-matching regions are constructed with mathematical morphological algorithm. Shadow-non-shadow region pair is obtained from the result of Smirnov test for statistical features of candidate neighbor-matching region pairs, thus shadow regions are detected by selecting one with relatively lower intensity average from the matched two regions. Experimental results show the effectiveness of the algorithm for cast shadow detecting in gray level images.

Original languageEnglish
Title of host publication2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
DOIs
StatePublished - 2010
Event2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 - Chengdu, China
Duration: 23 Sep 201025 Sep 2010

Publication series

Name2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

Conference

Conference2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
Country/TerritoryChina
CityChengdu
Period23/09/1025/09/10

Keywords

  • Mathematical morphology
  • Shadow detecting
  • Shadow-non-shadow region pair
  • Smirnov test

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