Segmentation is a fundamental component of many medical image-processing applications, and it has long been recognized as a challenging problem. In this paper, we report our research and development efforts on analyzing and extracting clinically meaningful regions from uterine cervix images in a large database created for the study of cervical cancer. In addition to proposing new algorithms, we...

Medical Image Segmentation is the process of segmenting and detecting boundaries anatomical structures in various types 2D 3D-medical images. The latter come from different modalities, such as Magnetic Resonance Imaging (MRI), X-Rays, Positron Emission Tomography (PET)/Single-Photon Computed Tomography, (CT), Ultrasound (US). It a key supporting technology for medical applications including dia...

This paper proposes a lightweight image encryption approach for medical Internet of Things (MIoT) networks using compressive sensing and modified seven-dimensional ( MSD ) hyperchaotic map. Initially, 7D map is to generate more secure complex secret keys. SHA-512 used create the initial conditi...

gesture and motion recognition are needed for a variety of applications. the use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. in particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. in this work, we introduce a 3-...

The papers in this special section focus on advanced machine learning algorithms for biomedical data and image processing. Researchers including those working computer vision, processing, analysis, related fields when tied with experienced clinicians can play a significant role understanding complex medical which ultimately improves patient care. Developing novel machine-learning algorithm spec...

‎we present an application of the dual gabor frames to image‎ ‎processing‎. ‎our algorithm is based on finding some dual gabor‎ ‎frame generators which reconstructs accurately the elements of the‎ ‎underlying hilbert space‎. ‎the advantages of these duals‎ ‎constructed by a polynomial of gabor frame generators are compared‎ ‎with their canonical dual‎.

[1] M. Akil. Reconfigurable architecture for real-time image processing, special issue of Journal of Real-Time Image Processing. Springer-Verlag, 2008. [2] L. Najman and H. Talbot. Morphologie Mathématique : approches déterministes. Hermès, 2008. (255 pp.). [3] H. Talbot and L. Najman. Morphologie Mathématique : approches non-déterministes, mise en œuvre et applications. 2009. To appear. [4] J....

The paper presents a new method for enhancement of orthodontic images using the combination of two-dimensional data with different type of illumination and their processing using digital de-nosing and gradient image enhancement in the preliminary stage. The region growing method and the appropriate seed selection is then studied as an alternative to the distance and watershed transforms for the...