Crohn’s disease commonly affects the small and large intestines. Its symptoms include ulcers and intestinal stenosis, and its diagnosis is currently performed using an endoscope. However, because the endoscope cannot pass through the stenosed parts of the intestines, diagnosis of the entire intestines is difficult. A CT image-based method is expected to become an alternative way for the diagnos...

A tunable blob function is proposed which is computat ionally simple since it is a rational function of low degree. The blob function is dependent on a parameter d which can be used to control the blob function making it suitable for computer graphics applications such as implicit surface generation. The main properties of the blob function are descr ibed and graphed. When the parameter d is la...

We present the first unrestricted, three-dimensional relativistic hydrodynamical calculations of the blob of gas associated with the jet producing a gamma-ray burst. We investigate the deceleration phase of the blob corresponding to the time when afterglow radiation is produced, concentrating on the transition in which the relativistic beaming γ goes from being less than θ, where γ is the bulk ...

In this paper, a new feature-based approach to automated image-to-image registration is presented. The characteristic of this approach is that it combines an invariantmoment shape descriptor with improved chain-code matching to establish correspondences between the potentially matched regions detected from the two images. It is robust in that it overcomes the difficulties of control-point corre...

Based on variational and level set approaches, we present a hybrid framework with quality control for confocal microscopy image segmentation. First, nuclei are modelled as blobs with additive noise and a filter derived from the Laplacian of a Gaussian kernel is applied for blob detection. Second, nuclei segmentation is reformulated as a front propagation problem and the energy minimization is o...

Automated motion detection and tracking is a challenging task in traffic surveillance. In this paper, a system is developed to gather useful information from stationary cameras for detecting moving objects in digital videos. The moving detection and tracking system is developed based on optical flow estimation together with application and combination of various relevant computer vision and ima...

In this paper we present the work developed on offline signature verification using Hidden Markov Models (HMM)[1]. HMM is a well-known technique used by other biometric features, for instance, in speaker recognition and dynamic or on-line signature verification. Our goal here is to extend Left-to-Right (LR)-HMM to the field of static or off-line signature processing using results provided by im...

This toolbox implements a set of methodologies for detecting plankton specimens in cluttered images and recognizing their taxa. The functionalities of the developed system are divided into three major procedures [6]: 1) First, a novel image segmentation algorithm is applied to extract salient objects from a set of input cluttered images. The employed methodology, based on a novel nonparametric ...

Optical character recognition systems have been effectively developed for the recognition of printed characters. Optical character recognition is an awesome computer vision technique with various applications ranging from saving real time scripts digitally and deriving context based intelligence using natural language processing from the texts. One such application is the recognition of machine...

We investigate a method to speed up the O(n) labeling algorithm of Rosenfeld and Pfaltz for segmenting binary images, which is unduly complex for large images. That algorithm searches line-by-line, top to bottom, to assign a blob label to each current pixel that is connected to a blob. A large number K of labels arises of which many are equivalent, so the equivalence must be resolved. This requ...