Progress in radiotherapy is guided by the need to realize improved dose distributions, i.e. the ability to reduce the treatment volume toward the target volume and still ensuring coverage of that target volume in all dimensions. Poor ability to…
Papers in Image Processing
Image Processing papers in Electrical and Electronic Engineering, A
-
-
We present an algorithm for graph isomorphism and subgraph isomorphism suited for dealing with large graphs. A first version of the algorithm has been presented in a previous paper, where we examined its performance for the isomorphism of small and…
-
A 1/1.8-inch 6.4 MPixel 60 frames/s CMOS image sensor fabricated in a 0.18-mum single-poly triple-metal (1P3M) process is described. A zigzag-shaped 1.75 T/pixel architecture and a 10-bit counter-type column parallel ADC enables 2.5times2.5 mum2…
-
A 1/2.7-in 1944 times 1484 pixel CMOS image sensor with double CDS architecture fabricated in a 0.18-mum single-poly triple-metal (1P3M) CMOS process is described. It operates at 48 MHz in a progressive scanning mode at 60 frames/s for full…
-
A 128 times 64 pixel programmable vision sensor performs real-time analog image processing over high dynamic range images is reported. The pixel-parallel single instruction multiple data (SIMD) architecture executes real-time spatio-temporal…
-
A triple exposure 20-bit output high dynamic range (HDR) CMOS imager with sub 2e- rms noise floor is presented. The array consists of 1280x960 pinned photodiode pixels with 3.75um pitch and programmable (high or low) conversion gain (Fig.1). A…
-
A single-pixel camera for THz imaging has been proposed in. In this article, we propose a new design for a single-detector THz imaging system based on compressive sampling (CS), which does not need raster scanning of the object in front of the THz…
-
This paper presents a 3D facial recognition algorithm based on the Hausdorff distance metric. The standard 3D formulation of the Hausdorff matching algorithm has been modified to operate on a 2D range image, enabling a reduction in computation from…
-
Manual quantitative analysis of cardiac left ventricular function using Multislice CT and MR is arduous because of the large data volume. In this paper, we present a 3-D active shape model (ASM) for semiautomatic segmentation of cardiac CT and MR…
-
In this paper we introduce a 3-dimensional (3D) SIFT descriptor for video or 3D imagery such as MRI data. We also show how this new descriptor is able to better represent the 3D nature of video data in the application of action recognition. This…
-
We built a digital nuclear atlas of the newly hatched, first larval stage (L1) of the wild-type hermaphrodite of Caenorhabditis elegans at single-cell resolution from confocal image stacks of 15 individual worms. The atlas quantifies the stereotypy…
-
A high resolution, cross-borehole, 3D electrical resistivity tomography (ERT) study of solute transport was conducted in a large experimental tank. ERT voxels comprising the time sequence of electrical images were converted into a 3D array of ERT…
-
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The power of these models comes at the cost of an expensive and tedious…
-
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations. Although 3D modeling techniques have been extensively used for 3D…
-
We have been developing user-steered image segmentation methods for situations which require considerable human assistance in object definition. In the past, we have presented two paradigms, referred to as live-wire and live-lane, for segmenting…
-
This paper presents a method for modelling semantic content in scenes, in order to facilitate urban driving. More specifically, it presents a 3D classifier based on Velodyne data and monocular color imagery. The system contains two main components:…
-
Designing interactive segmentation methods for digital volume images is difficult, mainly because efficient 3D interaction is much harder to achieve than interaction with 2D images. To overcome this issue, we use a system that combines stereo…
-
Three dimensional (3D) pulmonary parenchyma segmentation is an indispensable step in CAD (Computer-Aided Detection) that used for pulmonary nodule detection based on CT images. In this paper, we proposed a simple and effective 3D lung parenchyma…
-
This paper will present details of a system that allows for an evolutionary introduction of depth perception into the existing 2D digital TV framework. The work is part of the European Information Society Technologies (IST) project Advanced…
-
This paper presents details of a system that allows for an evolutionary introduction of depth perception into the existing 2D digital TV framework. The work is part of the European information society technologies (IST) project "advanced…
Papers in associated sub-disciplines
Sign up today - FREE
Mendeley saves you time finding and organizing research. Learn more
- All your research in one place
- Add and import papers easily
- Access it anywhere, anytime