Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach

In the interactive image segmentation task, the Particle Competition and Cooperation (PCC) model is fed with a complex network, which is built from the input image. 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. The present paper proposes the elimination of the weight vector through modifications in the network construction phase. The proposed model and the reference model, without the use of a weight vector, were compared using 151 images extracted from the Grabcut dataset, the PASCAL VOC dataset and the Alpha matting dataset. Each model was applied 30 times to each image to obtain an error average. These simulations resulted in an error rate of only 0.49% when classifying pixels with the proposed model while the reference model had an error rate of 3.14%. The proposed method also presented less error variation in the diversity of the evaluated images, when compared to the reference model.


page 7

page 8

page 11

page 12


Building Networks for Image Segmentation using Particle Competition and Cooperation

Particle competition and cooperation (PCC) is a graph-based semi-supervi...

Simple Interactive Image Segmentation using Label Propagation through kNN graphs

Many interactive image segmentation techniques are based on semi-supervi...

Segmentação de imagens utilizando competição e cooperação entre partículas

This paper presents an extension proposal of the semi-supervised learnin...

Interactive Image Segmentation using Label Propagation through Complex Networks

Interactive image segmentation is a topic of many studies in image proce...

Colour image segmentation by the vector-valued Allen-Cahn phase-field model: a multigrid solution

We propose a new method for the numerical solution of a PDE-driven model...

Robust Seed Mask Generation for Interactive Image Segmentation

In interactive medical image segmentation, anatomical structures are ext...

Please sign up or login with your details

Forgot password? Click here to reset