Terahertz imaging is a novel imaging modality that has been used with great potential in
many applications. Due to its specific properties, the segmentation of this type of images …

Photoconductive antenna microprobe (PCAM)‐based terahertz (THz) near‐field imaging
technique is promising for biomedical detection due to its excellent biocompatibility and high …

Terahertz (THz) imaging is an innovative technology of imaging which can supply a large
amount of data unavailable through other sensors. However, the higher dimension of THz …

Objective We provide a survey of recent advances in biomedical image analysis and
classification from emergent imaging modalities such as terahertz (THz) pulse imaging (TPI) …

This book discusses recent advances in biomedical sensing as well as image analysis and
processing techniques so as to develop a unified framework for computer-aided disease …

Terahertz (THz) imaging is an innovative technology of imaging which can supply a large
amount of data unavailable through other sensors. However, the higher dimension of THz …

The K-harmonic means clustering algorithm (KHM) is a new clustering method used to
group data such that the sum of the harmonic averages of the distances between each entity …

It is known that k-means clustering is especially sensitive to initial starting centers. In this
paper, we propose an original version of k-means for the segmentation of Terahertz images …

In this paper, we propose to segment Terahertz (THz) images and introduce a new family of
clustering based regression techniques suitable to time series. In particular, we propose a …

Cette thèse à publications présente toutes nos contributions qui se rapportent à la
segmentation d'images Térahertz. La thèse comprend quatre chapitres. Les deux premiers …