Image segmentation using a texture gradient based watershed transform

doi:10.1109/TIP.2003.819311

Image segmentation using a texture gradient based watershed transform

2003-12-01

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DOI：10.1109/TIP.2003.819311

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The segmentation of images into meaningful and homogenous regions is a key method for image analysis within applications such as content based retrieval. The watershed transform is a well established tool for the segmentation of images. However, watershed segmentation is often not effective for textured image regions that are perceptually homogeneous. In order to properly segment such regions the concept of the texture gradient is now introduced. Texture information and its gradient are extracted using a novel nondecimated form of a 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 image retrieval.

Keywords:

image edge analysis

image segmentation

image texture analysis

wavelet transforms

Image segmentation using a texture gradient based watershed transform

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