A Cloud-assisted image sensor communication (IS-C) system is designed and implemented. A 1616 LED array and a smartphone camera are adopted as the transmitter and receiver respectively. the LED array is refreshed at ...
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there exists a continuous research effort aiming to port methods for grayscale imageprocessing to more complex imagery data. Color images were an initial target for such effort, but new technologies have lead to many...
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ISBN:
(纸本)9783319668246;9783319668239
there exists a continuous research effort aiming to port methods for grayscale imageprocessing to more complex imagery data. Color images were an initial target for such effort, but new technologies have lead to many other types of images. In this work we focus on hyperspectral images. Specifically, we analyze how to adapt the Upper-Lower Edge Detector (ULED) to hyperspectral images;our proposal consist of fusioning band-wise information using OWA operators.
the present paper proposes image edge detection algorithm utilizing a reaction-diffusion network. the network consists of two-dimensionally coupled FitzHugh-Nagumo type neurons, whose behavior is described by a set of...
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In this work we present a novel bio-inspired operator for image smoothing based on the attraction of gravitational forces. these forces produce movement over the pixels of an image, which are represented as particles ...
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ISBN:
(纸本)9783319668246;9783319668239
In this work we present a novel bio-inspired operator for image smoothing based on the attraction of gravitational forces. these forces produce movement over the pixels of an image, which are represented as particles in the space. Due to this movement pixels change their color intensity. We introduce the operator and apply it iteratively over color images, with different configurations. the effect of our technique is analyzed over 1D signals and color images.
the use of a sparse crystal setting would reduce the cost of the PET scanner and has advantages such as less RF shielding in PET/MR. It also allows a longer axial field of view (FOV) using the same crystal volume. In ...
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ISBN:
(纸本)9781538684948
the use of a sparse crystal setting would reduce the cost of the PET scanner and has advantages such as less RF shielding in PET/MR. It also allows a longer axial field of view (FOV) using the same crystal volume. In this paper, the sensitivities of the coincidence events of PET systems withthe sparse crystal configuration, thin crystal setting, and the conventional design using a fixed total crystal volume were analytically estimated. the sinograms of a sparse system (with 50% crystal removed and fixed axial FOV) were simulated using patient data. Reconstruction algorithms were developed by modeling the effects of reduced crystals in the system matrix. A convolutional neural network (CNN) based noise reduction approach was used for post-processing. A total of 14 patient data were included and were truncated to 3 minutes scan for consistency. Leave-one-out cross- validation was used for evaluation purpose. A patch based data input/output was used for model training to increase the number of training samples. images reconstructed using OSEM followed by Gaussian denoising was also used as a comparison. the percentage summed square difference (SSD) between images of sparse crystal configuration and non-sparse systems were used for quantitative evaluation. When using the same total volume of crystals, the difference of sensitivity at the center of FOV was within 10% among three different settings, withthe rank from highest to lowest being the thin detector, sparse detector, and conventional detector. When using the same axial FOV, reconstructed images of the sparse crystal configuration showed increased noise due to reduced sensitivity. the percentage SSD for image processed withthe Gaussian filter was 30% on average and was reduced to 16% with CNN on average. the results show withthe same amount of crystal, the use of sparse crystal configuration provides a slightly larger sensitivity and much larger axial FOV. CNN processed images was able to partially recover los
In order to increase communication distance and throughput for rolling-shutter (RS)-based optical camera communication (OCC), distributed LED array composed of 8 × 8 small chip-LEDs is used as a transmitter. Symb...
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Superpixel segmentation has been commonly used in various imageprocessing tasks such as object detection and image classification. In this paper, we propose a novel superpixel segmentation method based on a new dista...
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ISBN:
(纸本)9781538671504
Superpixel segmentation has been commonly used in various imageprocessing tasks such as object detection and image classification. In this paper, we propose a novel superpixel segmentation method based on a new distance function and superpixel seed updating strategy for polarimetric synthetic aperture radar (PolSAR) images. We initialize superpixel seeds with an expected number of superpixels. then, we iteratively cluster the pixels based on the distance function and update the superpixel seeds based on the updating strategy. When the termination condition is reaches, we stop the iteration and obtain the superpixels. the experimental results based on RADARSAT-2 data demonstrate that our method is effective and achieves a better tradeoff between boundary adherence and compactness.
the asynchronous nature of smartphone-to-smartphone (S2S) based on visible light communication (VLC) imposes a significant challenge on the speed of camera-based receiver processing time and algorithm. Recent improvem...
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Free-space laser communication technology has several advantages comparing with radio communications for various applications on Earth and in space. An optical transmission line can be characterized by higher data rat...
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the algorithm for obtaining high-quality structural images in endoscopic optical coherence tomography with a reduced level of speckle noise is described. the key features of the developed algorithm are the multilevel ...
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ISBN:
(数字)9781510628212
ISBN:
(纸本)9781510628212
the algorithm for obtaining high-quality structural images in endoscopic optical coherence tomography with a reduced level of speckle noise is described. the key features of the developed algorithm are the multilevel filtering and morphological digital processing of structural images. Structural images of soft biological tissues in vivo and tissue-like phantoms are shown. the suggested algorithm can be used to improve quality of structural images not only in optical methods of visualization and non-destructive testing, but also in ultrasonic ones.
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