Segmentation of image using texture gradient, marker, and scan-based watershed algorithm
V. S. Kumari Roshni, Raju G. Kurup · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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 combination of complex and packet wavelet transform. A novel marker and scan based watershed algorithm 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.