Texture gradient based watershed segmentation

PR Hill, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

15 Citations (Scopus)
285 Downloads (Pure)


The watershed transform is a well established tool for the segmentation of images. However, watershed segmentation is often not effective for textured regions that are perceptually homogeneous. Such regions are usually inaccurately over-segmented with no reference to any texture changes. We now introduce a novel concept of "texture gradient" implemented using a non-decimated complex wavelet transform. A novel marker location algorithm is subsequently used to locate significant homogeneous textured or non textured regions. A marker driven watershed transform is then used to properly segment the identified regions. The combined algorithm produces effective texture and intensity based segmentation for the application to content based retrieval of images.
Translated title of the contributionTexture gradient based watershed segmentation
Original languageEnglish
Title of host publicationInternational Conference on Acoustics, Speech and Signal Processing (ICASSP'02)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesIV-3381 - IV-3384
Number of pages4
ISBN (Print)0780374029
Publication statusPublished - May 2002
Event2002 IEEE International Conference on Acoustics, Speech, and Signal Processing - Orlando, Florida, United States
Duration: 13 May 200217 May 2002


Conference2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP '02
Country/TerritoryUnited States
CityOrlando, Florida

Bibliographical note

Rose publication type: Conference contribution

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