Conference
Iterative Semi-Supervised Learning Approach for Color Image Segmentation
Abstract
Image segmentation is an important step in many image processing techniques. In this paper, a new semi-supervised approach for color image segmentation is proposed. This method takes advantage of a limited human assistant. After an unsupervised segmentation stage, classes of some regions are questioned from the user. These user hints are used as an initial sample data and will be iteratively expanded based on the existing relevancy between …
Authors
Jafari MH; Samavi S
Pagination
pp. 76-79
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
November 1, 2015
DOI
10.1109/iranianmvip.2015.7397508
Name of conference
2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP)