Fast Fourier Transform based image-processingalgorithms, such as Phase-Only Correlation, and Fourier-Mellin Transform are known to be time-consuming, but they are becoming more popular by the benefit of advances in t...
详细信息
ISBN:
(纸本)0780374487
Fast Fourier Transform based image-processingalgorithms, such as Phase-Only Correlation, and Fourier-Mellin Transform are known to be time-consuming, but they are becoming more popular by the benefit of advances in the area of semiconductor technology. These algorithms need a series of pre-processing and post-processing to the main processing of FFT. A pixel-and-column pipeline architecture, that has two-layered pipeline for a pixel and a column, is proposed. An LSI that provides those algorithms at the real-time response is designed based on the architecture. The processing time of 256x256 POC is 10.06 ms, and 2.57 times faster than the previous implementation.
In the framework of computer-aided diagnosis, pulmonary airway investigation based on multi-detector computerized tomography (MDCT) requires the development of specific tools for data interaction and analysis. The 3D ...
详细信息
ISBN:
(纸本)0819452017
In the framework of computer-aided diagnosis, pulmonary airway investigation based on multi-detector computerized tomography (MDCT) requires the development of specific tools for data interaction and analysis. The 3D segmentation of the bronchial tree provides radiologists with appropriate examination modalities such as CT bronchography, for a global analysis, or virtual endoscopy, for a local endoluminal diagnosis. Focusing on the latter modality, this paper proposes a set of advanced navigation and investigation tools based on the automatic extraction of the central axis (CA) of the 3D segmented airways. In the case of complex branching structures, Such as the bronchial tree, the automatic CA computation is a challenging problem raising several difficulties related to geometry and topology preservation. In this respect, an original approach is presented, combining 3D distance map information and geodesic front propagation in order to accurately detect branching points and to preserve the original 3D topology of the airways, irrespective to both caliber variability with the bronchial order and to bronchial wall irregularities. The CA information is represented as a multi-valued and hierarchic tree structure, making possible automatic trajectory Computation between two given points, bronchial caliber estimation in the plane orthogonal to the bronchus axis at a given location, branch indexation, and so on. These applications are Illustrated on clinical data including both normal and pathological airway morphologies.
Projection is a frequently used process in imageprocessing and visualization. In volume graphics, projection is used to render the essential content of a 3D volume onto a 2D image plane. For Radon transform, projecti...
详细信息
ISBN:
(纸本)0819433039
Projection is a frequently used process in imageprocessing and visualization. In volume graphics, projection is used to render the essential content of a 3D volume onto a 2D image plane. For Radon transform, projection is used to transform the image space into a parameter space. In this paper, we propose a matrix decomposition method called identity-plus-row decomposition for designing fast algorithms for projections. By applying this method, we solve the data redistributed problem due to the irregular data access patterns present in those applications on SIMD mesh-connected computers, developing fast algorithms for volume rendering and Radon transform an SIMD mesh-connected computers.
Neural networks and imageprocessingalgorithms typically use very large amounts of data and usually this data is processed iteratively Hence, the issue of cache memories for enhancing the processing speed is importan...
详细信息
ISBN:
(纸本)0780367251
Neural networks and imageprocessingalgorithms typically use very large amounts of data and usually this data is processed iteratively Hence, the issue of cache memories for enhancing the processing speed is important A particularly important model that fits these applications is the simple loop model Here, the exact solution for the cache memory simple loop model under random replacement is given using an urn model and the theory of Markov Chains The probability distribution is obtained as a quotient of Stirling Numbers of the Second Kind It is also shown that asymptotically the number of elements in the urns follows a Truncated at Zero Poisson Distribution.
In this paper, various contrast and low-light image enhancement methods are described and classified into three categories: I) histogram-based, ii) transmission map-based, and iii) retinexbased. The performance of the...
详细信息
Computed Tomography (CT) image reconstruction algorithms such as convolution back-projection (CBP) and algebraic reconstruction technique (ART) are highly compute-intensive for today's single processor systems. In...
详细信息
Computed Tomography (CT) image reconstruction algorithms such as convolution back-projection (CBP) and algebraic reconstruction technique (ART) are highly compute-intensive for today's single processor systems. In this work, we investigate the suitability of TM-1000 media processor and Analog Device's ADSP 21160 as a compute engine for the execution of image reconstruction algorithms. Philips Trimedia TM-1000, a very large instruction word (VLIW) processor, is a high performance media processor optimized for realtime processing of audio, video, graphics, and communication data streams. TM-1000 has a high performance digital signal processor (DSP) core, supported by multiple functional units. The DSP core and the functional blocks operate in parallel, driven by a mix of RISC, multimedia, SIMD-type DSP and floating point instructions. A typical DSP such as Analog Device's ADSP 21160 is based on super harvard architecture (SHARC) and is an optimized processor for digital signal processing applications. It has two sets of computation units. Each p computation unit comprises of three functional blocks namely, arithmetic and logic unit (ALU), multiplier and shifter unit. ADSP 21160 supports single instruction multiple data (SIMD) computation model to handle dual computation units. Both sets of computation units operate concurrently. We compare the performance of TM-1000 media processor and ADSP 21160 DSP processor to execute the image reconstruction algorithms by comparing the execution time of CBP and ART algorithms on them. The image reconstruction algorithms normally break down to a repetitive multiply-accumulate operation (MAC). All DSP processors support single-cycle MAC and zero-overhead loop instructions. The media processors normally do not support single-cycle MAC instruction and zero-overhead loop functionality. However, media processors are equipped with multiple functional units that perform multiple operations in a single instruction time. A DSP processor is
MEMS thermal transducers offer a promising technological platform for un-cooled IR imaging. We report on the fabrication and performance of an optical readout based MEMS IR FPA based on the bimaterial microcantilever....
详细信息
ISBN:
(纸本)9780819470119
MEMS thermal transducers offer a promising technological platform for un-cooled IR imaging. We report on the fabrication and performance of an optical readout based MEMS IR FPA based on the bimaterial microcantilever. For the IR images of objects obtained by these FPAs, processed by the fast Curvelet transform denoising and inpainting algorithm, the image quality is improved obviously. Great compute and analysis have been realized by using the discussed algorithm to the simulated data. The experimental results demonstrate, better RMSE and highest Peak Signal-to-Noise Ratio (PSNR) compared with traditional methods can be obtained. At last we discuss the factors that determine the ultimate performance of the FPA. And we indicated that one of the unique advantages of the present approach is the scalability to larger imaging arrays.
We propose finite-length multi-input multi-output adaptive equalization methods for "smart" antenna arrays using the statistical theory of canonical correlations. We show that the proposed methods are relate...
详细信息
ISBN:
(纸本)0780370414
We propose finite-length multi-input multi-output adaptive equalization methods for "smart" antenna arrays using the statistical theory of canonical correlations. We show that the proposed methods are related to maximum likelihood reduced-rank channel and noise estimation algorithms in unknown spatially correlated noise, and to several recently proposed adaptive equalization schemes.
A new signal processing method is developed for solving the multi-line fitting problem in a two dimensional image. We first reformulate the former problem in a special parameter estimation framework such that a first ...
详细信息
ISBN:
(纸本)0780370414
A new signal processing method is developed for solving the multi-line fitting problem in a two dimensional image. We first reformulate the former problem in a special parameter estimation framework such that a first order or a second order polynomial phase signal structure is obtained. Then, the recently developed algorithms in that formalism (and particularly the downsampling technique for high resolution frequency estimation) can be exploited to produce accurate estimates fox line parameters. This method is able to estimate the parameters of parallel lines with different offsets and handles the quantization noise effect which can not be done by the sensor array processing technique introduced by Aghajan et al. Simulation results are presented to demonstrate the usefulness of the proposed method.
This work proposes the use of Genetic algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color information, a fitness function based on card...
详细信息
ISBN:
(纸本)9781728175393
This work proposes the use of Genetic algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color information, a fitness function based on cardioids, and GA. This is the first work in the literature to propose a Region of Interest (ROI) extraction based on GA and cariods. ROI extraction can improve the accuracy of cancer detection and assist with the standardization of acquisition protocols. The method is able to successfully separate the breast region in 52 out of 58 images, while being fully automatic, and not requiring manual selection of seed points.
暂无评论