IEEE Computational Intelligence Magazine

Image segmentation is the critical task of partitioning an image into multiple objects. Deformable Models are effective tools aimed at performing image segmentation. Among them, Topological Active Nets (TANs), and their extension, ETANs, are models integrating features of region-based and boundary-based segmentation techniques. Since the deformation of the meshes composing these models to fit the ... View full abstract»

This paper proposes a novel approach to specific object detection in complex scenes using color-based entropy features and a fuzzy classifier (FC). Appearances of the detected objects are assumed to contain multiple colors in non-homogeneous distributions that make it difficult to detect these objects using shape features. The proposed detection approach consists of two filtering phases with two d... View full abstract»

Evolving solutions for machine vision applications has gained more popularity in the recent years. One area is evolving programs by Genetic Programming (GP) for motion detection, which is a fundamental component of most vision systems. Despite the good performance, this approach is not widely accepted by mainstream vision application developers. One of the reasons is that these GP generated progra... View full abstract»

The paper investigates the effectiveness of rough sets for video behavior detection. It proposes a new method to make the codebook of the motion frame. It obtains atomic activities via a simple improved topic model. It use a rough sets classifier to classify the behaviors in video, and confirm its performance through experiments. View full abstract»

Digital Mammograms are the gold standard for the early detection and diagnosis of breast cancer. Breast cancer is one of the main causes of cancer deaths in women worldwide. One in nine women in Australia will be diagnosed with breast cancer in their lifetime. Women over 50 years of age in particular are encouraged to have screening using digital mammograms so that cancer can be detected at its ea... View full abstract»