Every human being created by God to the bone structure and shape of the body that affect the attitude of walking human or human gait with a unique karakaterikstik. Human gait analysis can be implemented on a medicine to help doctors diagnose patients with gait disorders, designing a program of rehabilitation and prosthetic design. In the sports field is used for the analysis of human gait train...

We describe an approach to construct hexahedral solid NURBS (Non-Uniform Rational B-Splines) meshes for patient-specific vascular geometric models from imaging data for use in isogeometric analysis. First, image processing techniques, such as contrast enhancement, filtering, classification, and segmentation, are used to improve the quality of the input imaging data. Then, lumenal surfaces are e...

We suggest an efficient method for automatic detection of the intercellular skeleton in microscope images of early embryogenesis. The method is based on the solution of two advective PDEs. First, we solve numerically the time relaxed eikonal equation in order to obtain the signed distance function to a given set – a set of points representing cell centers or a set of closed curves representing ...

Image analysis was used to develop a faster and more objective method for the quantitative measurement of plant anatomy. The size, number and anatomical features of individual cells were measured automatically using methods based on image skeletonization and the distance transform. The variation in cell wall thickness around individual cells was measured by masking the distance transform of a s...

Most fingerprint recognition applications rely heavily on efficient and fast image enhancement algorithms. Image thinning is a very important stage of image enhancement. A good thinning algorithm preserves the structure of the original fingerprint image, reduces the amount of data needed to process and helps improve the feature extraction accuracy and efficiency. In this paper we describe and c...

Based on experimental 3D image data, we analyze a highly porous silica monolith consisting of a network of rod-like structures. Because the rods are often hard to recognize even by visual inspection of the image data, a simple binarization with e.g. thresholding techniques is problematic. Therefore we extract a voxel-based skeleton directly from the filtered grayscale image, which is then trans...

This paper proposes a secure steganographic communication algorithm based on the evolution of self-organizing patterns. The presented algorithm is a modification of a secure steganographic scheme, presented in our previous work [1]. Algorithm is based on the formation of self-organizing patterns in a Beddington-deAngelis-type predator-prey model with selfdiffusion. Computational experiments sho...

A model-theoretic approach can establish security theorems, which are formulas expressing authentication and non-disclosure properties of protocols. Security theorems have a special form, namely quantified implications ∀~x .(φ ⊃ ∃~y .ψ). Models (interpretations) for these formulas are skeletons, partially ordered structures consisting of a number of local protocol behaviors. Realized skeletons ...

This work describes the development of an automated method for metrological purposes to measure the length of filament-shaped objects. The proposed methodology can determine the length of the object(s) of interest using image segmentation, where the Snake Model (SM) was applied. The measurement procedure starts from the segmentation step, where a mathematical morphology technique called erosion...

Melorheostosis is a rare sclerosing hyperostosis that affects the appendicular skeleton more than the axial skeleton. This disorder also affects the cutaneous and soft tissues and leads to the formation of fibrosis and contracture. Due to the unique features of melorheostosis (dripping candle wax appearance), plain radiographs are often sufficient for diagnosis. Herein we report a case of melor...