|Title of host publication||International Conference on Acoustics, Speech and Signal Processing (ICASSP'02)|
|Publisher or commissioning body||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||IV-3381 - IV-3384|
|Number of pages||4|
|State||Published - May 2002|
|Conference||2002 IEEE International Conference on Acoustics, Speech, and Signal Processing|
|Abbreviated title||ICASSP '02|
|Period||13/05/02 → 17/05/02|
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.
Rose publication type: Conference contribution
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
|Abbreviated Title||ICASSP '02|
|Duration||13 May 2002 → 17 May 2002|