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Advances in Variational and Partial Differential Equation-Based Models for Image Processing and Computer Vision

they have long been used to formulate dynamical phenomena in many important engineering domains. Thus, they have proved their usefulness in various image processing and computer vision fields, where they ... approaches. Both variational and nonvariational partial differential equations appear in a variety of image processing and computer vision areas, successfully answering the challenges that still persist in

Advances in Variational and Partial Differential Equation-Based Models for Image Processing and Computer Vision

continuous change, so they have long been used to formulate dynamical phenomena in many important engineering domains. Thus, they have proved their usefulness in various image processing and computer vision ... derived from variational approaches. Both variational and nonvariational partial differential equations appear in a variety of image processing and computer vision areas, successfully answering the

Recent progress in semantic image segmentation

Semantic image segmentation, which becomes one of the key applications in image processing and computer vision domain, has been used in multiple domains such as medical area and intelligent ... Papandreou et al. (2015) , Xia et al. (2013) , Zhu et al. (2014) , Xu et al. (2015) . 5 Conclusion Semantic image segmentation is a key application in image processing and computer vision domain

Pattern Recognition Software and Techniques for Biological Image Analysis

developing algorithms or tuning parameters for specific image processing tasks. The generality of this approach promises to enable data mining in extensive image repositories, and provide objective and ... has been increasing consistently, in some cases the bottleneck for high-throughput imaging experiments is the efficacy of computer vision, image analysis, and pattern recognition methods [1]. Computer

Assessing Computer Vision Syndrome Risk for Pilots

The purpose of this study was to determine if pilots are at risk for computer vision syndrome (CVS) as computer display technology becomes commonplace in modern cockpits and simulators. A review of

Advancements of Image Processing and Vision in Healthcare

, distribution, and reproduction in any medium, provided the original work is properly cited. 1. Introduction Advancements of image processing and computer vision in healthcare sectors are required to be ... computer vision, though sensor-based activity is also a very important area [1, 2]. Integration of various cues and modalities can enhance the performance of image- or vision-based analysis. This special

Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification

Convolutional neural networks (CNNs) excel in a wide variety of computer vision applications, but their high performance also comes at a high computational cost. Despite efforts to increase ... networks (CNNs), capitalizing on the spatial invariance of various image properties, have been especially popular in computer vision problems such as image classification, image segmentation, and even image

Turn to Clear Vision

authorized administrator of Digital Commons @ Winthrop University. For more information , please contact - Laying on the ground, I wondered how long it had been since I’d seen his heart. And then I wondered ... when I tried to overcompensate with lying lips. I wondered if he ever changed his mind because I changed my tone and then I wondered who was to blame. I wondered about shame and whether I had felt it

Computational Intelligence in Image Processing 2018

, and hybridization of these models. Image processing is a progressive and fast-moving research discipline. Recent advances in image processing have produced an explosion in the use of images in a ... image processing applications. The final goal is to expose the cutting-edge research and applications that are going on across the domain of image processing, particularly those whose contemporary

A Review on the Extraction of Quantitative Retinal Microvascular Image Feature

Digital image processing is one of the most widely used computer vision technologies in biomedical engineering. In the present modern ophthalmological practice, biomarkers analysis through digital ... a computer-based algorithm to calculate the AV nicking severity applying the image processing techniques like image acquisition, segmentation, artery-vein classification method, and method for

Computer Aided Reticle Making for a Micromotor

orientation with respect to the center of the reticle. The reticles were developed using standard and reversal processing. The GCA MANN 4BOOSW Stepper will utilize these reticles to image wafers for the

Generating Road Network Graph with Vision-Based Unmanned Vehicle

, angle variation and travelled distance. A video camera attached to a Lego® NXT Mindstorm vehicle guides it by image segmentation using Matlab® Image processing toolbox, along a road network, in which is ... command, the image is submitted to a segmentation process that follows a sequence of functions contained in the Matlab® Image processing toolbox. Firstly, the image is converted to binary format and fits

A Low-Light Image Enhancement Method Based on Image Degradation Model and Pure Pixel Ratio Prior

Images captured in low-light conditions are prone to suffer from low visibility, which may further degrade the performance of most computational photography and computer vision applications. In this ... world,” Computer Vision Graphics and Image Processing, vol. 32, no. 3, pp. 314–327, 1985. View at Publisher · View at Google Scholar · View at ScopusB. V. Funt, M. S. Drew, and M. Brockington, “Recovering

Finite, primitive and euclidean spaces

Integer and digital spaces are playing a significant role in digital image processing, computer graphics, computer tomography, robot vision, and many other fields dealing with finitely or countable ... approaches to such spaces have been used in [9-13]. Digital topology, eonneetedness, and continuous analogs of digital spaces have received considerable attention in digital image processing, computer vision

Computer abuse and computer ethics, a framework to guide research and practice^

The focus of the current research is to identify factors which can be used in constructing a theoretical framework to guide research and practice; those factors explored are categories of computer ... Georgia Southern University Follow this and additional works at: http://scholarworks.lib.csusb.edu/jiim Part of the Management Information Systems Commons Recommended Citation - Computer abuse and

Study of filled dolines by using 3D stereo image processing and electrical resistivity imaging

, depth, radius, area, and volume) of formerly concave landforms (i.e., recently filled dolines) by using a combination of two methods: (1) photogrammetric stereo processing of archival aerial photographs ... mixed with other waste (municipal, construction, and demolition waste), which causes the variability of electrical resistivity. environmental geology; doline degradation; waste; stereo image processing

A simple and flexible modification of Grünwald–Letnikov fractional derivative in image processing

In image processing, edge detection and image enhancement can make use of fractional differentiation operators, especially the Grünwald–Letnikov derivative. In this paper, we present a modified ... control with high-order internal models [4]. In image processing, fractional calculus is exploited in image denoising using the diffusion equation [5, 6, 7, 8] and in image segmentation with active contours

The Image of the Tiger in Thomas Mann's Tod in Venedig

Mann integrates the image of the tiger (according to Nietzsche a concomitant of the Dionysian) that is associated with Aschenbach into Tod in Venedig, commencing with the poet's anticipatory vision ... connection with Aschenbach, beginning with the latter's anticipatory vision, and that he integrates this image with great subtlety into the rest of Tod in Venedig. Of particular significance is the triangular

Signal Processing on Graphs Using Kron Reduction and Spline Interpolation

In applications such as image processing, the data is given in a regular pattern with a known structure, such as a grid of pixels. However, it is becoming increasingly common for large datasets to ... method of wavelet analysis, also commonly known as multiresolution analysis, has been an indispensable tool for processing data and is one reason why digital image processing has become so successful. It

Image Reversal with AZ5214E Photoresist for Etch and Liftoff

. Defect density as a function of feature size is given for each process. and yield versus area 1s projected. It was determined that image reversal processing yielded a lower defect density than conventional ... IMAGE REVERSAL WITH AZ5214E PHOTORESIST FOR ETCH AND LIFTOFF By Michael A. Ryan 5th Year Microelectronics Student Rochester Institute of Technology ABSTRACT Aluminum pattern definition was