This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several stateof-the-art binarization methodo...
Basilios Gatos, Ioannis Pratikakis, Stavros J. Per...
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...
Ultrasound imaging of thyroid gland provides the ability to acquire valuable information for medical diagnosis. This study presents a novel scheme for the analysis of longitudinal ...
Eystratios G. Keramidas, Dimitrios K. Iakovidis, D...
This paper describes a simple and efficient method to make template-based object classification invariant to in-plane rotations. The task is divided into two parts: orientation di...
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...