An important step in fingerprint recognition is segmentation. During segmentation the fingerprint image is decomposed into foreground, background and low-quality regions. The foreground is used in the recognition process, the background is ignored. The low-quality regions may or may not be used, dependent on the recognition method. Pixel features of the gray-scale image form the basis of segmen...

In the video surveillance literature, background (BG) subtraction is an important and fundamental issue. In this context, a consistent group of methods operates at region level, evaluating in fixed zones of interest pixel values’ statistics, so that a per-pixel foreground (FG) labeling can be performed. In this paper, we propose a novel hybrid, pixel/region, approach for background subtraction....

The Landsat and Sentinel series satellites contain their own quality tagging data products, marking the source image pixel by with several specific semantic categories. These products generally categories such as cloud, cloud shadow, land, water body, snow. Due to lack of mid-wave thermal infrared bands, accuracy traditional detection algorithm is unstable when facing Chinese Gaofen-1/6 (GF-1/6...

The ability to detect and identify gaseous effluents is a problem that has been pursued with limited success. It has been shown to be possible using the Invariant algorithm on synthetic hyperspectral scenes with a strong single gas release. That however, is a very specific case and leaves room for further investigation. This study looks at more realistic detection and release scenarios. Our imp...

A look-up table algorithm is described for enhancing the luminance resolution at the expense of the colour resolution in digital displays of colour images. For colour displays with a look-up table resolution of 8 bits/gun, the algorithm provides a luminance resolution of 11-12 bits without loss of spatial or temporal resolution. This improvement can reduce the minimum luminance step in the mid-...

Multiplex Fluorescence In-Situ Hybridization (M-FISH) is a recently developed chromosome imaging method in which each chromosome is labelled with 5 fluors (dyes) and is also counterstained with DAPI. This paper proposes an automatic pixel by pixel classification algorithm for M-FISH images using a Bayes Classifier. The M-FISH pixel classification was approached as a 25 class 6 feature pattern r...

9 Both pixel-based scale saliency (PSS) and basis project methods focus on multiscale analysis of data content and structure. Their theoretical relations and practical combination are previously discussed. However, no models have ever been proposed for calculating scale saliency on basis-projected descriptors since then. This paper extend those ideas into mathematical models and implement them ...