In this paper, we describe a new technique for the automatic orientation of bedding in drill core from digital images. Images are planar pictures of the drill core, and we show th...
Thomas Quiniou, Nazha Selmaoui, Christine Laporte-...
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
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...
The design of an electronic archive of digitized images of thousands of x-rays collected as part of nationwide health surveys has raised several issues related to user interface d...
—The subject of extracting high-resolution data from low-resolution images is one of the most important digital processing applications in recent years, attracting much research....