A Hierarchical Grab Cut Image Segmentation Algorithm

A hierarchical image segmentation algorithm

This paper presents a hierarchical image representation that preserves spatial relationships, and an image segmentation algorithm that efficiently constructs this representation. The overall structure of the hierarchical representation assumes a tree-like organization, in which a node at a higher level represents of a group of nodes from the next lower level. The root node of the representation...

A Literature Review of Image Segmentation Techniques and Matting for the Purpose of Implementing “Grab-Cut”

This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them. It discusses the “Grab-Cut” technique, and reviews some some of the common matting techniques. The graph cut approaches to segmentation can be extended to 3-D data and can be used for segmenting 3-D volumes. Other segmentation techniques use either conto...

Normalized-cut algorithm for hierarchical vector field data segmentation

Hierarchical Image Segmentation Algorithm in Depth Image Processing

Because the traditional iterative graph cut algorithm is time consuming and low in segmentation accuracy, I proposes the method of iterative graph cut to segment images, by analyzing the basic theory of image segmentation, I introduces the balance factor to balance the degree of importance between color texture and depth. Finally it passes detailed experimental simulation, the experiment shows ...

A Fast Hierarchical MRF sonar Image Segmentation Algorithm

Hierarchical Markov random field (MRF) algorithm has been widely used in sonar image segmentation. To improve the algorithm speed, we abandon the method which describes different regions using regional distribution of grey distribution model and propose a new method in which sonar image was described using grey value statistics. In the proposed method, considering the characteristic of sonar im...