Physicians are motivated to use e-health technology. Use of modern technology enables knowledge extraction which can be used to improve diagnostics and treatment. At present Electronic Patient Record (EPR) are also sh...
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Physicians are motivated to use e-health technology. Use of modern technology enables knowledge extraction which can be used to improve diagnostics and treatment. At present Electronic Patient Record (EPR) are also shared through cloud among hospitals. Protection of EPR is important to protect the ownership particularly when the data is shared with third parties. Digital watermarking is a proven technique to achieve this goal. Digital watermarking technique can be employed for data hiding and to ensure integrity and authenticity of medical image. Considering this broad scope, a fresh and reversible watermarking scheme is recommended to report this safety production. Hospital Logo, Hash of ROI, Doctor Identification Code (DIC) is embedded using Recursive Dither Modulation (RDM) algorithm subsequent to wavelet transform and singular value decomposition. To improve the performance of the scheme differential evolution based optimization technique is proposed. The scheme is reversible and can also perform tamper detection.
We spend more than 80% of our lives indoors. Future indoor robot navigation is based on intelligent systems that provide accurate and smart information. In this paper we introduce a novel Aesthetic Marker decoding sys...
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ISBN:
(纸本)9781479940318
We spend more than 80% of our lives indoors. Future indoor robot navigation is based on intelligent systems that provide accurate and smart information. In this paper we introduce a novel Aesthetic Marker decoding system, which finds and decodes machine readable visual markers inside buildings. Focused on seamless integration of visual code into our everyday human environment, our application has custom developed algorithms and functions that handle aesthetic marker data. As a result, imageprocessing time was reduced and extracted information was maximized to calculate accurate robot position. A new Aesthetic Marker decoding method was created connecting the digital and physical world.
Obstacle avoidance is a key feature for automotive navigation that requires an accurate representation of the environment. In the field of visual perception this task has often been addressed with stereo algorithms th...
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ISBN:
(纸本)9781479936397
Obstacle avoidance is a key feature for automotive navigation that requires an accurate representation of the environment. In the field of visual perception this task has often been addressed with stereo algorithms that try to obtain a depth map of the environment via disparity calculations on a single pair of images. These algorithms do not exploit that especially in automotive scenarios the fields of view between two consecutive frames have large overlapping regions. Instead, the disparity map is computed from scratch for each stereo frame and no information is propagated from one frame to the next. Since monocular imageprocessing has long benefited from recursive estimation techniques, such as the 4D Approach, this paper presents a novel recursive automotive stereo algorithm, called RAS. RAS internally maintains a list of recursively estimated 3D points that are continuously updated based on the vehicle's movement and measurements in the current stereo frame. We show that RAS not only preserves the knowledge of the environment across frames, but also accounts for measurement modalities and is robust against faulty or even missing measurements.
The problem of automatic video restoration and object removal attract the attention of many researchers. In this paper we present a new framework for video inpainting. We consider the case when a camera motion is appr...
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ISBN:
(纸本)9780819494283
The problem of automatic video restoration and object removal attract the attention of many researchers. In this paper we present a new framework for video inpainting. We consider the case when a camera motion is approximately parallel to the plane of image projection. The scene may consist of a stationary background with a moving foreground, both of which may require inpainting. Moving objects can move differently, but should not to change their size. A framework presented in this paper contains the following steps: moving objects identification, moving objects tracking and background/foreground segmentation, inpainting and, finally, a video rendering. Some results on test video sequence processing are presented
The interfacial tension between silicone oil and water is measured in the temperature range 18-35 degrees C. A novel method is used which promises prospects for the application to other liquid/liquid systems. The meth...
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The interfacial tension between silicone oil and water is measured in the temperature range 18-35 degrees C. A novel method is used which promises prospects for the application to other liquid/liquid systems. The method is based on digital imageprocessing of the contour of a pendant drop in combination with a pressure measurement. In contrast to existing algorithms axisymmetric drop shape analysis (ADSA) relying on iterative solutions of the Laplace equation the interfacial tension is obtained without Laplace from a force balance yielding an explicit expression for the interfacial tension. (C) 2013 Elsevier B.v. All rights reserved.
A new approach to an analog ultra-low power medium-resolution vision chip design is presented. The prototype chip performs low-level imageprocessingalgorithms in real time. Only a photo-diode, MOS switches and two c...
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A new approach to an analog ultra-low power medium-resolution vision chip design is presented. The prototype chip performs low-level imageprocessingalgorithms in real time. Only a photo-diode, MOS switches and two capacitors are used to create an analog processing element (APE) that is able to realize any convolution algorithm based on a full 3 x 3 kernel. The proof-of-concept circuit is implemented in 0.35 mu m CMOS technology, and contains a 64 x 64 SIMD matrix with embedded APEs. The matrix dissipates less than 0.3 mW (less than 0.1 mu W per APE) of power under 3.3 v supply, and its imageprocessing speed is up to 100 frames/s.
It was found that the diffraction images acquired along the side scattering directions with objects in a cell sample contain pattern variations at both the global and local scales. We show here that the global pattern...
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It was found that the diffraction images acquired along the side scattering directions with objects in a cell sample contain pattern variations at both the global and local scales. We show here that the global pattern variation is associated with the categorical size and morphological heterogeneity of the imaged objects. An automated imageprocessing method has been developed to separate the acquired diffraction images into three types of global patterns. Combined with previously developed method for quantifying local texture pattern variations, the new method allows fully automated analysis of diffraction images for rapid and label-free classification of cells according to their 3D morphology. (C) 2013 Optical Society of America
Mobile augmented reality (MAR) systems utilize local features to represent structures such as corners or blobs in query videos and database images. Local features are compressed and sent to servers to perform query-da...
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ISBN:
(纸本)9781479947164
Mobile augmented reality (MAR) systems utilize local features to represent structures such as corners or blobs in query videos and database images. Local features are compressed and sent to servers to perform query-database matching. The compression efficiency is important for the server-based MAR systems in terms of network latency. Conventional compression methods handle video frames independently. In recent years, an interframe compression technology, which exploits temporal correlation over frames, has been proposed. It propagates local features temporally and realizes significant bitrate reduction without degradation in matching performance. However, this system requires a large amount of information when inserting independently compressed frames to update the status of local features. In this paper, we propose the selective update framework for local features and give simple algorithms to make use of the framework. Experimental results show that our proposal achieves gradual refreshes of local features, avoiding transmission of large amounts of data.
The zebrafish (Danio rerio) has been widely used as a vertebrate animal model in neurobiological. The zebrafish has several unique advantages that make it well suited for live microscopic imaging, including its fast d...
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The zebrafish (Danio rerio) has been widely used as a vertebrate animal model in neurobiological. The zebrafish has several unique advantages that make it well suited for live microscopic imaging, including its fast development, large transparent embryos that develop outside the mother, and the availability of a large selection of mutant strains. As the genome of zebrafish has been fully sequenced it is comparatively easier to carry out large scale forward genetic screening in zebrafish to investigate relevant human diseases, from neurological disorders like epilepsy, Alzheimer's disease, and Parkinson's disease to other conditions, such as polycystic kidney disease and cancer. All of these factors contribute to an increasing number of microscopic images of zebrafish that require advanced imageprocessing methods to objectively, quantitatively, and quickly analyze the image dataset. In this review, we discuss the development of image analysis and quantification techniques as applied to zebrafish images, with the emphasis on phenotype evaluation, neuronal structure quantification, vascular structure reconstruction, and behavioral monitoring. Zebrafish image analysis is continually developing, and new types of images generated from a wide variety of biological experiments provide the dataset and foundation for the future development of imageprocessingalgorithms. (c) 2012 Elsevier B.v. All rights reserved.
image enhancement is basically improving the interpretability or perception of information in images for human viewers and providing 'better' input for other automated imageprocessing techniques. The principa...
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ISBN:
(纸本)9781479927500;9781479927517
image enhancement is basically improving the interpretability or perception of information in images for human viewers and providing 'better' input for other automated imageprocessing techniques. The principal objective of image enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer. This work addresses the implementation of image enhancement algorithms like brightness control, contrast adjustment and histogram equalization on FPGA that have become a competitive alternative for high-performance digital signal processing applications. With the advent of mobile embedded multimedia devices that are required to perform a range of multimedia tasks, especially imageprocessing tasks, the need to design efficient and high performance imageprocessingsystems in a short time-to-market schedule needs to be addressed. Hence, the image enhancement algorithms implemented in hardware have emerged as the most viable solution for improving the performance of imageprocessingsystems. The proposed work gives the implementation of efficient image enhancement algorithms on Field programmable gate array (FPGA) using Matlab Simulink.
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