Novelty detection is an important functionality that has found many applications in
information retrieval and processing. In this paper we propose a novel framework that deals …

Most color cameras are fitted with a single sensor that provides color filter array (CFA)
images, in which each pixel is characterized by one of the three color components (either …

We present an object recognition approach using co-occurrence similarities of Gabor
magnitude textures in this paper. A novel image descriptor, multichannel Gabor magnitude …

This paper presents a method, which is developed based on the Discrete Cosine (DC)
coefficient and multivariate parametric statistical tests, such as tests for equality of mean …

Segmentation of regions of interest is an important pre-processing step in many colour
image analysis procedures. Similarly, segmentation of plant objects in digital images is an …

abstract In order to select grading images of tobacco leaves, the reflecting light images of all
tobacco leaf samples are gathered under the condition of seven color light sources. Then for …

Accurate local region description is a keypoint in many applications and has been the topic
of lots of recent papers. Starting from the very accurate SIFT, most of the approaches exploit …

​ Die Marktsegmentierung ist eines der meist diskutierten Themen im Marketing. Eine kaum
genutzte Datengrundlage stellt dabei die inhaltsbasierte Auswertung digitaler Bilder dar …

Artificial objects usually have very stable shape features, which are stable, persistent
properties in geometry. They can provide evidence for object recognition. Shape features …

In this paper, we propose a compact illumination invariant color descriptor. Recent papers
have shown that the rank measures of the pixels within a color image are invariant across …