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At its simplest, volume calculation of MR Image segmented & further soft computed to estimate the affected intensity of Alzheimer's disease is dealt with this paper. It is concerned with Voxel Based Morphometry to render the first part segmentation. The result gives an active region which further needs an estimation to justify the diagnosis. As in this case the image is in form of voxels. When...
A GPU framework for ultrasound color flow imaging (CFI) based on auto-correlation is presented. The parallel CFI processing framework implementation is mainly based on CUDA performance features, such as the memory selection strategy, applicable thread structure and high-throughput bandwidth. Parallel convolution algorithm and multi-channel championship algorithm are proposed. This CFI method achieves...
In this study, we introduce a new directional nonparametric clustering algorithm for 3D medical structure topology classification. This paper proposes directional mean shift (DMS) which extends the well known mean shift-based clustering, for handling directional statistics, toward analyzing directional/circular-domain data with phase-wraparound boundary conditions. Our overall approach transforms...
Early skin cancer detection with the help of dermoscopic images is becoming more and more important. Previous methods generally ignored the spatial relation of the pixels or regions inside the lesion. We propose to employ a graph representation of the skin lesion to model the spatial relation. We then use the graph walk kernel, a similarity measure between two graphs, to build a classifier based on...
In this paper, we present the use of a graphics processing unit to perform color Doppler signal processing. Color Doppler has been mainly implemented on custom-designed hardware due to the large amount of data and number of computations that are involved. With an NVIDIA GeForce 260 GT, a frame rate of 45 fps for frames comprising 512??512 pixels can be achieved.
In refractory epilepsy, the goal of neuroimaging is to localize the region of seizure onset. Tracers that accumulate and remain fixed proportional to regional cerebral blood flow (rCBF) at the time of injection are used to obtain SPECT images of the brain activity during and between seizures. The most used technique for detecting the epileptogenic zone (EZ) is to threshold the co-registered and normalized...
The novel field of fluid lens cameras introduces unique image processing challenges. Intended for surgical applications, these fluid optics systems have improved miniaturization over glass lenses and do not have moving parts while zooming. However, the liquid medium creates non-uniform color blur, which causes certain color planes to appear sharper than others. We propose an adapted perfect reconstruction...
It is well known that in many situations combining diverse classifiers can improve the performance of a classification system. In this paper, a new histogram based lip segmentation technique is proposed considering local kernel histograms in different illumination invariant colour spaces. The histogram is computed in local areas using two Gaussian kernels; one in the colour space and the other in...
In supervised data classification one of the problems is to reduce dimensionality of feature vectors. It is important to find such features which have high ability for discrimination of diverse classes and to get rid of features which are useless for such discrimination. In this paper we propose a new method for feature subset selection utilizing a convex hull (or convex polytope). The method searches...
A novel color image segmentation scheme was proposed for retinopathic fundus diagnosis purpose, combing with the hue-preserving color image equalizaion and segmentation by means of mean shift filtering of feature space clustering algorithms. With the image equalization algorithm, incorrectly exposed fundus image was enhanced and pieces of information for diagnosis were improve effectively and accurately...
In this paper, two visual cues are proposed, to be exploited for the navigation of active endoscopic capsules within the gastrointestinal (GI) tract. These cues consist of the detection and tracking of the lumen and of an illumination highlight in capsule endoscopy (CE) images. The proposed approach aims at developing vision algorithms which are robust with respect to the challenging imaging conditions...
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