The main goal of this paper is to introduce formally the concept of texture segmentation/identification in three dimensional images. A major problem in texture texture segmentation/identification is the lack of robust...
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ISBN:
(纸本)9780819468499
The main goal of this paper is to introduce formally the concept of texture segmentation/identification in three dimensional images. A major problem in texture texture segmentation/identification is the lack of robustness to both translations and rotations. This problem is more difficult to overcome in 3D-images, such as those generated by modalities such as x-ray CT and MRI. To facilitate 3D-texture segmentation/identification which is robust to 3D rigid motions we formally introduce the concept of steerable feature maps and of appropriate metrics in the feature space. We also introduce a new multiscale representation giving rise to a steerable feature map used in our exploratory project in cardiovascular imaging and we propose a 3D-texture segmentation algorithm utilizing this steerable feature map.
Channel estimation is one of the most significant technologies in the orthogonal frequency division multiplexing (OFDM) system and its accuracy will influence the performance of the whole system directly. Among all ki...
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The proceedings contain 132 papers. The topics discussed include: dynamic score selection for fusion of multiple biometric matchers;integrating boundary information in pairwise segmentation;spectra generative models f...
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ISBN:
(纸本)0769528775
The proceedings contain 132 papers. The topics discussed include: dynamic score selection for fusion of multiple biometric matchers;integrating boundary information in pairwise segmentation;spectra generative models for graphs;facing imbalanced classes through aggregation of classifiers;learning repetitive patterns for classifying non-rigidly deforming texture surfaces;motion estimation via belief propagation;a method of clustering combination applied to satellite image analysis;calibration and image generation of mobile projector-camera systems;hybrid stereo sensor with omnidirectional vision capabilities: overview and calibration procedures;image spam filtering using visual information;localization of ahead vehicles with on-board stereo cameras;subspace reduction for appearance-based navigation of a mobile robot;and topology preserving arching cubes-like algorithms on the face-centered cubic grid.
Wireless capsule endoscopy (WeE) has been widely adopted to diagnose diseases in human intestine on account of its convenience and invasiveness to the patients. Due to complicated environment of the intestine and intr...
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ISBN:
(纸本)9781612848570
Wireless capsule endoscopy (WeE) has been widely adopted to diagnose diseases in human intestine on account of its convenience and invasiveness to the patients. Due to complicated environment of the intestine and intrinsic restrictions of the equipment in terms of image acquisition and transmission, however, raw WeE images are often blurred and noise contaminated. In this paper, we report several new developments for the restoration of color WeE images in a total variation (TV) minimization framework. Specifically, the monotone fast iterative shrinkage/thresholding algorithm combined with the fast gradient projection algorithm, proposed recently by Beck and Teboulle, is extended to deal with vector-valued (e. g. color) images. T he new algorithm also incorporates a bisection technique to tune the weighting parameter of the TV-Frobenius objective function to its optimal value quickly and accurately. Experimental results are presented to demonstrate the performance of the proposed algorithm.
In the transportation systems engineering field, there is a fast growing interest to use small unmanned aerial systems (UAS) for structural inspections. Of particular importance is the development of imageprocessing ...
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A mathematical construct 'Phasor Fields' (P-Fields) is used to develop a light transport mathematical model for non-line-of-sight (NLOS) imaging applications. We show that NLOS imaging can be treated as conven...
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The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International conference on Artificial Intelligence, MICAI 2016, held in Cancún, Mexico, in October 2016.;The total of 86 pa...
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ISBN:
(数字)9783319624280
ISBN:
(纸本)9783319624273
The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International conference on Artificial Intelligence, MICAI 2016, held in Cancún, Mexico, in October 2016.;The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections:;Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; imageprocessing and computer vision; robotics.;Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.
Prostate repeat biopsy has become one of the key requirements in today's prostate cancer detection. Urologists are interested in knowing previous 3-D biopsy locations during the current visit of the patient. Eigen...
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ISBN:
(纸本)9780819469847
Prostate repeat biopsy has become one of the key requirements in today's prostate cancer detection. Urologists are interested in knowing previous 3-D biopsy locations during the current visit of the patient. Eigen has developed a system for performing 3-D Ultrasound image guided prostate biopsy. The repeat biopsy tool consists of three stages: (1) segmentation of the prostate capsules from previous and current ultrasound volumes;(2) registration of segmented surfaces using adaptive focus deformable model;(3) mapping of old biopsy sites onto new volume via thin-plate splines (TPS). The system critically depends on accurate 3-D segmentation of capsule volumes. In this paper, we study the effect of automated segmentation technique on the accuracy of 3-D ultrasound guided repeat biopsy. Our database consists of 38 prostate volumes of different patients which are acquired using Philips sidefire transrectal ultrasound (TRUS) probe. The prostate volumes were segmented in three ways: expert segmentation, semi-automated segmentation, and fully automated segmentation. New biopsy sites were identified in the new volumes from different segmentation methods, and we compared the mean squared distance between biopsy sites. It is demonstrated that the performance of our fully automated segmentation tool is comparable to that of semi-automated segmentation method.
Bottom terminated circuit components with their low cost, improved signal speeds and good thermal performances have made the use of these elements increasingly widespread in recent years. However, in the post assembly...
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ISBN:
(纸本)9781538615010
Bottom terminated circuit components with their low cost, improved signal speeds and good thermal performances have made the use of these elements increasingly widespread in recent years. However, in the post assembly inspection of these components solder voids can be encountered at a level of effecting the functionality and reliability of the board. It is difficult to detect solder voids manually by visual inspection;therefore x-ray systems have to be used for the detection of solder voids. Solder voids can not be accurately detected with the software on some existing low resolution x-ray control system, a manual adjustment was required on the received images. In this study;images received from low resolution x-ray device were processed with the help of various imageprocessingalgorithms and a graphical user interface program that allows automotic detection of different tyoes of solder voids was created. The work has been proven by using real x-ray images, which yield more accurate results than the existing x-ray software.
In this paper, Cellular Neural Networks (CNNs) have been applied to noisy Synthetic Aperture Radar (SAR) image to improve its performance and appearance. The image has been obtained from Erzurum, Turkey. Because of th...
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