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Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach
In the network construction phase, a weight vector is needed to define the importance of each element in the feature set, which consists of color and location information of the corresponding pixels, thus demanding a specialist's intervention.
Simple Interactive Image Segmentation using Label Propagation through kNN graphs
Many interactive image segmentation techniques are based on semi-supervised learning.
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise
Computer simulations show the classification accuracy of the proposed method when applied to some artificial and real-world data sets, in which we introduce increasing amounts of label noise.
Segmentação de imagens utilizando competição e cooperação entre partículas
This paper presents an extension proposal of the semi-supervised learning method known as Particle Competition and Cooperation for carrying out tasks of image segmentation.
Interactive Image Segmentation using Label Propagation through Complex Networks
Interactive image segmentation is a topic of many studies in image processing.
