A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Analysis of Ridges and Valleys in Grey-Scale Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The MPEG-4 video standard verification model
IEEE Transactions on Circuits and Systems for Video Technology
Semiautomatic segmentation and tracking of semantic video objects
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
The MPEG-4 and MPEG-7 visual standard to support each frame of a video sequence should be segmented in terms of video object planes (VOPs). This paper presents an image segmentation method for extracting video objects from image sequences. The method is based on a multiresolution application of wavelet and watershed transformations, followed by a wavelet coefficient?based region merging procedure. The procedure toward complete segmentation consists of four steps: pyramid representation, image segmentation, region merging and region projection. First, pyramid representation creates multiresolution images using a wavelet transformation. Second, image segmentation is used to segment the lowest-resolution image of the created pyramid by watershed transformation. Third, region merging involves merging segmented regions using the third-order moment values of the wavelet coefficients. Finally, the region projection is used to recover a full-resolution image using an inverse wavelet transformation. Experimental results of the presented method can be applied to the segmentation of noise or degraded images as well as the reduction of over-segmentation.