Image analysis and segmentation using gray connected components
Abstract
We investigated a new definition for the connected components of gray images, which are called (ε, δ)-components, that takes into account both the gray values of the pixels and the differences of the gray values of the neighboring pixels. In this paper, we describe a method to understand the structure of the gray images in an intermediate level through the (ε, δ)-component histograms. Also, for appropriate values of ε and δ, an object in an image may be represented by an (ε, δ)-component reasonably well. We discuss a method to adjust the values of ε and δ so that object extraction and segmentation may be done by locating the corresponding (ε, δ)-components. Since we do not make any assumptions about the formation model of the image data, our proposed method could be applied to many types of images. Thus, our approach provides a possible method of transition from low level computer vision to a higher level vision.
Document Type
Conference Proceeding
DOI
https://doi.org/10.1109/ICSMC.1996.569814
Publication Date
12-1-1996
Recommended Citation
Wang, Yang, and Prabir Bhattacharya. "Image analysis and segmentation using gray connected components." In 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No. 96CH35929), vol. 1, pp. 444-449. IEEE, 1996.
Journal Title
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
