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Journal articles on the topic 'Raster Scan Algorithm'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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1

Lindner, R. "A Prefiltering Raster Scan Algorithm." Computer Graphics Forum 4, no. 2 (1985): 101–10. http://dx.doi.org/10.1111/j.1467-8659.1985.tb00199.x.

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2

Inoue, Kohei, Kenji Hara, Naoki Ono, and Toru Hiraoka. "An Iterative Raster Scan Algorithm for Superpixel Segmentation." Journal of the Institute of Industrial Applications Engineers 12, no. 1 (2024): 12–17. http://dx.doi.org/10.12792/jiiae.12.12.

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Elizondo-Leal, Juan Carlos, José Gabriel Ramirez-Torres, Jose Hugo Barrón-Zambrano, Alan Diaz-Manríquez, Marco Aurelio Nuño-Maganda, and Vicente Paul Saldivar-Alonso. "Parallel Raster Scan for Euclidean Distance Transform." Symmetry 12, no. 11 (2020): 1808. http://dx.doi.org/10.3390/sym12111808.

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Distance transform (DT) and Voronoi diagrams (VDs) have found many applications in image analysis. Euclidean distance transform (EDT) can generate forms that do not vary with the rotation, because it is radially symmetrical, which is a desirable characteristic in distance transform applications. Recently, parallel architectures have been very accessible and, particularly, GPU-based architectures are very promising due to their high performance, low power consumption and affordable prices. In this paper, a new parallel algorithm is proposed for the computation of a Euclidean distance map and Vo

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Lee, Seung-Woo, and Song-Bai Park. "A New Scan Conversion Algorithm for Ultrasound Compound Scanning." Ultrasonic Imaging 7, no. 3 (1985): 215–24. http://dx.doi.org/10.1177/016173468500700302.

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An improved scan conversion algorithm for ultrasound compound scanning is proposed. In this algorithm, the input data in the spatial domain is sampled by the concentric square raster sampling (CSRS) method, and the display pixel data are filled by one-dimensional linear interpolation. The reconstruction error of the proposed algorithm is much smaller than that of other algorithms, because only one-dimensional, rather than two-dimensional, interpolation is involved. This algorithm greatly simplifies implementation of a real-time digital scan converter (DSC) for spatial compounding of ultrasound

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Bailey, Donald, and Michael Klaiber. "Zig-Zag Based Single-Pass Connected Components Analysis." Journal of Imaging 5, no. 4 (2019): 45. http://dx.doi.org/10.3390/jimaging5040045.

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Single-pass connected components analysis (CCA) algorithms suffer from a time overhead to resolve labels at the end of each image row. This work demonstrates how this overhead can be eliminated by replacing the conventional raster scan by a zig-zag scan. This enables chains of labels to be correctly resolved while processing the next image row. The effect is faster processing in the worst case with no end of row overheads. CCA hardware architectures using the novel algorithm proposed in this paper are, therefore, able to process images at higher throughput than other state-of-the-art methods w

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Liu, Shilei, Zijian Xu, Zhenjiang Xing, et al. "Periodic Artifacts Generation and Suppression in X-ray Ptychography." Photonics 10, no. 5 (2023): 532. http://dx.doi.org/10.3390/photonics10050532.

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As a unique coherent diffraction imaging method, X-ray ptychography has an ultrahigh resolution of several nanometers for extended samples. However, ptychography is often degraded by various noises that are mixed with diffracted signals on the detector. Some of the noises can transform into periodic artifacts (PAs) in reconstructed images, which is a basic problem in raster-scan ptychography. Herein, we propose a novel periodic-artifact suppressing algorithm (PASA) and present a new understanding of PAs or raster-grid pathology generation mechanisms, which include static intensity (SI) as an i

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Chlamtac and Harary. "The Shift X Parity Watch Algorithm for Raster Scan Displays." IEEE Transactions on Computers C-34, no. 7 (1985): 666–73. http://dx.doi.org/10.1109/tc.1985.1676606.

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Acharjee, Suvojit, and Sheli Sinha Chaudhuri. "Test Zone Search Optimization Using Cuckoo Search Algorithm for VVC." International Journal of Multimedia Data Engineering and Management 13, no. 1 (2022): 1–16. http://dx.doi.org/10.4018/ijmdem.314574.

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Motion vector approximation is an integral part of every video coding standard to reduce temporal correlation. Estimating motion necessitates a lot of computation. Several attempts were made to reduce the computation cost in exhaustive search of motion estimation. Test zone search was accepted as benchmark algorithm for fast motion estimation by the most recent video coding standard, versatile video coding. Quality and speed of test zone search completely depends on two parameters (i.e., sub sampling frequency of search space during raster scan and dimension of the search space). Cuckoo search

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Khan, Tareq Hasan, and Khan A. Wahid. "Lossless and Low-Power Image Compressor for Wireless Capsule Endoscopy." VLSI Design 2011 (June 9, 2011): 1–12. http://dx.doi.org/10.1155/2011/343787.

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We present a lossless and low-complexity image compression algorithm for endoscopic images. The algorithm consists of a static prediction scheme and a combination of golomb-rice and unary encoding. It does not require any buffer memory and is suitable to work with any commercial low-power image sensors that output image pixels in raster-scan fashion. The proposed lossless algorithm has compression ratio of approximately 73% for endoscopic images. Compared to the existing lossless compression standard such as JPEG-LS, the proposed scheme has better compression ratio, lower computational complex

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Din, Salah Ud, Jong-Min Hyun, Dae-Sung Son, and Jung-Ryul Lee. "Rotation included 3-axis scanning free-space measurement and curvature compensation for electromagnetic evaluation of leading-edge and curved stealth structures." Measurement Science and Technology 33, no. 5 (2022): 055903. http://dx.doi.org/10.1088/1361-6501/ac4ed4.

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Abstract Since the last decade, stealth technology has been developing at a much higher speed with much research going on to evaluate the properties of radar absorbing structures (RASs) and scattering parameters of the developed stealth structures at different phases of practical use. A vector network analyzer plays an important role in RAS performance evaluation of stealth structures. Different scientists have used closed cell measurement techniques utilizing coaxial cables and waveguides to evaluate RAS materials at high accuracy, while others have used free-space measurement techniques util

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Goldman, R. E., A. Bajo, and N. Simaan. "Algorithms for autonomous exploration and estimation in compliant environments." Robotica 31, no. 1 (2012): 71–87. http://dx.doi.org/10.1017/s0263574712000100.

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SUMMARYThis paper investigates algorithms for enabling surgical slave robots to autonomously explore shape and stiffness of surgical fields. The paper addresses methods for estimating shape and impedance parameters of tissue and methods for autonomously exploring perceived impedance during tool interaction inside a tissue cleft. A hybrid force-motion controller and a cycloidal motion path are proposed to address shape exploration. An adaptive exploration algorithm for segmentation of surface features and a predictor-corrector algorithm for exploration of deep features are introduced based on d

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12

Huang, Peng, and Sean B. Andersson. "Note: Fast imaging of DNA in atomic force microscopy enabled by a local raster scan algorithm." Review of Scientific Instruments 85, no. 6 (2014): 066101. http://dx.doi.org/10.1063/1.4881682.

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13

Yao, Lianbi, Changcai Qin, Qichao Chen, and Hangbin Wu. "Automatic Road Marking Extraction and Vectorization from Vehicle-Borne Laser Scanning Data." Remote Sensing 13, no. 13 (2021): 2612. http://dx.doi.org/10.3390/rs13132612.

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Automatic driving technology is becoming one of the main areas of development for future intelligent transportation systems. The high-precision map, which is an important supplement of the on-board sensors during shielding or limited observation distance, provides a priori information for high-precision positioning and path planning in automatic driving. The position and semantic information of the road markings, such as absolute coordinates of the solid lines and dashed lines, are the basic components of the high-precision map. In this paper, we study the automatic extraction and vectorizatio

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Startsev, Michael A., and Abdulhakem Y. Elezzabi. "Terahertz Frequency Continuous-Wave Spectroscopy and Imaging of Explosive Substances." ISRN Optics 2013 (March 18, 2013): 1–8. http://dx.doi.org/10.1155/2013/419507.

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Continuous-wave terahertz (THz) radiation spectroscopy was performed on high explosive materials using a tuneable optical parametric oscillator (OPO). Military grade, solid-phase, explosive substances, such as cyclotetramethylenetetranitramine (HMX), cyclotrimethylenetrinitramine (RDX), pentaerythritol tetranitrate (PETN), and composition-4, were spectrally scanned over the 0.7–1.9 THz frequency range under experimental conditions modeling that of “real-world” security screenings. Spectral peak locations and spectral line broadening effects were quantified using a Lorentz lineshape fit algorit

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Ellinger, Andreas, Christian Woerner, and Raimar Scherer. "Automatic Segmentation of Bulk Material Heaps Using Color, Texture, and Topography from Aerial Data and Deep Learning-Based Computer Vision." Remote Sensing 15, no. 1 (2022): 211. http://dx.doi.org/10.3390/rs15010211.

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This article proposes a novel approach to segment instances of bulk material heaps in aerial data using deep learning-based computer vision and transfer learning to automate material inventory procedures in the construction-, mining-, and material-handling industry. The proposed method uses information about color, texture, and surface topography as input features for a supervised computer vision algorithm. The approach neither relies on hand-crafted assumptions on the general shape of heaps, nor does it solely rely on surface material type recognition. Therefore, the method is able to (1) seg

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Kuckein, C., S. J. González Manrique, L. Kleint, and A. Asensio Ramos. "Determining the dynamics and magnetic fields in He I 10830 Å during a solar filament eruption." Astronomy & Astrophysics 640 (August 2020): A71. http://dx.doi.org/10.1051/0004-6361/202038408.

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Aims. We investigate the dynamics and magnetic properties of the plasma, including the line-of-sight velocity (LOS) and optical depth, as well as the vertical and horizontal magnetic fields, belonging to an erupted solar filament. Methods. The filament eruption was observed with the GREGOR Infrared Spectrograph at the 1.5-meter GREGOR telescope on July 3, 2016. We acquired three consecutive full-Stokes slit-spectropolarimetric scans in the He I 10830 Å spectral range. The Stokes I profiles were classified using the machine learning k-means algorithm and then inverted with different initial con

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Nguyen, Thi Thu, Oyoo Michael Juma, Luke Oduor Otieno, Thi Ngoc Nguyen, and Yong Joong Lee. "A Preemptive Scan Speed Control Strategy Based on Topographic Data for Optimized Atomic Force Microscopy Imaging." Actuators 14, no. 6 (2025): 262. https://doi.org/10.3390/act14060262.

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Rapid advancement in the nanotechnology and semiconductor industries has driven the demand for fast, precise measurement systems. Atomic force microscopy (AFM) is a standout metrology technique due to its high precision and wide applicability. However, when operated at high speeds, the quality of AFM images often deteriorates, especially in areas where sharp topographic features are present. This occurs because the feedback speed of the Z-scanner cannot keep up with the sample height changes during raster scanning. This study presents a simple variable scan speed control strategy for improving

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Ahmed, Hasan, and Jung-Ryul Lee. "Development of autonomous target recognition and scanning technology for pulse-echo ultrasonic propagation imager." Structural Health Monitoring 19, no. 4 (2019): 1064–74. http://dx.doi.org/10.1177/1475921719874823.

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This article proposes a pulse-echo ultrasonic propagation imaging system that is capable of autonomous target recognition and scanning an area of a customizable shape for the non-destructive evaluation of structural defects. The proposed system employs through-the-thickness bulk waves for ultrasonic inspection, which is achieved by joining two laser beams: one each for the ultrasonic wave generation and sensing. Moreover, the system is capable of autonomously suggesting a suitable inspection area for a specimen placed in front of the scanning head. The scan area delimitation algorithm uses the

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19

Tang, Chin-I., Xianyue Deng, and Yuzuru Takashima. "Real-Time CGH Generation by CUDA-OpenGL Interoperability for Adaptive Beam Steering with a MEMS Phase SLM." Micromachines 13, no. 9 (2022): 1527. http://dx.doi.org/10.3390/mi13091527.

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Real-time, simultaneous, and adaptive beam steering into multiple regions of interest replaces conventional raster scanning with a less time-consuming and flexible beam steering framework, where only regions of interest are scanned by a laser beam. CUDA-OpenGL interoperability with a computationally time-efficient computer-generated hologram (CGH) calculation algorithm enables such beam steering by employing a MEMS-based phase light modulator (PLM) and a Texas Instruments Phase Light Modulator (TI-PLM). The real-time CGH generation and display algorithm is incorporated into the beam steering s

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20

Gorte, Ben, and Sisi Zlatanova. "RASTERIZATION AND VOXELIZATION OF TWO- AND THREE-DIMENSIONAL SPACE PARTITIONINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 283–88. http://dx.doi.org/10.5194/isprs-archives-xli-b4-283-2016.

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The paper presents a very straightforward and effective algorithm to convert a space partitioning, made up of polyhedral objects, into a 3D block of voxels, which is fully occupied, i.e. in which every voxel has a value. In addition to walls, floors, etc. there are 'air' voxels, which in turn may be distinguished as indoor and outdoor air. The method is a 3D extension of a 2D polygon-to-raster conversion algorithm. The input of the algorithm is a set of non-overlapping, closed polyhedra, which can be nested or touching. The air volume is not necessarily represented explicitly as a polyhedron (

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21

Cheng, Jun Ting, C. Zhao, W. L. Zhao, and W. H. Wu. "Research and Realization of a New Algorithm for Stereo Matching Based on Binocular Vision." Advanced Materials Research 670 (March 2013): 202–7. http://dx.doi.org/10.4028/www.scientific.net/amr.670.202.

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In the development of a three-dimensional measurement system, binocular stereo matching is the most important and difficult. In the basis of introducing selective principles of matching algorithm, a new stereo matching algorithm for binocular vision is put forward that is named noncoded difference measuring distance. The algorithm effectively grapples with the problem of searching for the coincidence relation of raster and can efficiently and accurately obtain three-dimensional world coordinates of the entities. Experiment results show that this 3D measuring machine can effectively measure the

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Gorte, Ben, and Sisi Zlatanova. "RASTERIZATION AND VOXELIZATION OF TWO- AND THREE-DIMENSIONAL SPACE PARTITIONINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 283–88. http://dx.doi.org/10.5194/isprsarchives-xli-b4-283-2016.

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The paper presents a very straightforward and effective algorithm to convert a space partitioning, made up of polyhedral objects, into a 3D block of voxels, which is fully occupied, i.e. in which every voxel has a value. In addition to walls, floors, etc. there are 'air' voxels, which in turn may be distinguished as indoor and outdoor air. The method is a 3D extension of a 2D polygon-to-raster conversion algorithm. The input of the algorithm is a set of non-overlapping, closed polyhedra, which can be nested or touching. The air volume is not necessarily represented explicitly as a polyhedron (

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23

Barbosa, Dante Vinícius Eloy, Marcio Cardoso Jr., Luiz Felipe Bertoldi Oliveira, et al. "Implementation, Validation and Study Case of a Landscape Evolution Model Algorithm." Defect and Diffusion Forum 427 (July 14, 2023): 13–23. http://dx.doi.org/10.4028/p-oogbr9.

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This paper presents a landscape evolution model based on physical processes – hillslope processes and fluvial erosion, transport, and deposition – solved by numerical methodology. That is, through the solution of differential equations approximated by numerical methods. In this case, hillslope processes are modeled through the classical diffusion equation, discretized by the finite volume method. Fluvial erosion, transport, and deposition are modeled by the fluvial potential equations (stream power law). For this, the approximation is performed by the finite difference method. The topography –

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Wu, Xinzhao, Peiqing Li, Qipeng Li, and Zhuoran Li. "Two-dimensional-simultaneous Localisation and Mapping Study Based on Factor Graph Elimination Optimisation." Sustainability 15, no. 2 (2023): 1172. http://dx.doi.org/10.3390/su15021172.

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A robust multi-sensor fusion simultaneous localization and mapping (SLAM) algorithm for complex road surfaces is proposed to improve recognition accuracy and reduce system memory occupation, aiming to enhance the computational efficiency of light detection and ranging in complex environments. First, a weighted signed distance function (W-SDF) map-based SLAM method is proposed. It uses a W-SDF map to capture the environment with less accuracy than the raster size but with high localization accuracy. The Levenberg–Marquardt method is used to solve the scan-matching problem in laser SLAM; it effe

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Khalid, Muhammad, Wu Ji, Deng Li, and Li Kun. "Mitigating the Impact of Satellite Vibrations on the Acquisition of Satellite Laser Links Through Optimized Scan Path and Parameters." Photonics 12, no. 5 (2025): 444. https://doi.org/10.3390/photonics12050444.

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In the past two decades, there has been a tremendous increase in demand for services requiring a high bandwidth, a low latency, and high data rates, such as broadband internet services, video streaming, cloud computing, IoT devices, and mobile data services (5G and beyond). Optical wireless communication (OWC) technology, which is also envisioned for next-generation satellite networks using laser links, offers a promising solution to meet these demands. Establishing a line-of-sight (LOS) link and initiating communication in laser links is a challenging task. This process is managed by the acqu

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Rong, Peng, Fengguo Zhang, Qing Yang, et al. "Processing Laue Microdiffraction Raster Scanning Patterns with Machine Learning Algorithms: A Case Study with a Fatigued Polycrystalline Sample." Materials 15, no. 4 (2022): 1502. http://dx.doi.org/10.3390/ma15041502.

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The massive amount of diffraction images collected in a raster scan of Laue microdiffraction calls for a fast treatment with little if any human intervention. The conventional method that has to index diffraction patterns one-by-one is laborious and can hardly give real-time feedback. In this work, a data mining protocol based on unsupervised machine learning algorithm was proposed to have a fast segmentation of the scanning grid from the diffraction patterns without indexation. The sole parameter that had to be set was the so-called “distance threshold” that determined the number of segments.

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Heffron, Ian, and James Dean. "Locality-based electromagnetic leakage assessment using CNN." International Conference on Cyber Warfare and Security 18, no. 1 (2023): 570–76. http://dx.doi.org/10.34190/iccws.18.1.1081.

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Deep learning side-channel analysis (SCA) attacks have recently gained in popularity. The ability of deep learning models to retrieve a key byte while minimizing the need for pre-processing steps in both cases of misaligned traces and when the leakage model is multivariate has contributed to the popularity gain. Near-field electromagnetic (EM) probes have enabled leakage capture with high spatial resolution, and the field of deep learning side-channel research looks to find models which reduce the required number of leakage traces to retrieve a key byte successfully. However, despite the many

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28

Zhang, Bowen, Shiyun Li, Junting Qiu, Gang You, and Lishuang Qu. "Application and Research on Improved Adaptive Monte Carlo Localization Algorithm for Automatic Guided Vehicle Fusion with QR Code Navigation." Applied Sciences 13, no. 21 (2023): 11913. http://dx.doi.org/10.3390/app132111913.

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SLAM (simultaneous localization and mapping) technology incorporating QR code navigation has been widely used in the mobile robotics industry. However, the particle kidnapping problem, positioning accuracy, and navigation time are still urgent issues to be solved. In this paper, a SLAM fused QR code navigation method is proposed and an improved adaptive Monte Carlo positioning algorithm is used to fuse the QR code information. Firstly, the generation and resampling methods of initialized particle swarms are improved to improve the robustness and weights of the swarms and to avoid the kidnappin

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29

Im, Chan-Gi, Dong-Min Son, Hyuk-Ju Kwon, and Sung-Hak Lee. "Tone Image Classification and Weighted Learning for Visible and NIR Image Fusion." Entropy 24, no. 10 (2022): 1435. http://dx.doi.org/10.3390/e24101435.

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In this paper, to improve the slow processing speed of the rule-based visible and NIR (near-infrared) image synthesis method, we present a fast image fusion method using DenseFuse, one of the CNN (convolutional neural network)-based image synthesis methods. The proposed method applies a raster scan algorithm to secure visible and NIR datasets for effective learning and presents a dataset classification method using luminance and variance. Additionally, in this paper, a method for synthesizing a feature map in a fusion layer is presented and compared with the method for synthesizing a feature m

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30

Poole, Alastair, Mark Sutcliffe, Gareth Pierce, and Anthony Gachagan. "A Novel Complete-Surface-Finding Algorithm for Online Surface Scanning with Limited View Sensors." Sensors 21, no. 22 (2021): 7692. http://dx.doi.org/10.3390/s21227692.

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Robotised Non-Destructive Testing (NDT) has revolutionised the field, increasing the speed of repetitive scanning procedures and ability to reach hazardous environments. Application of robot-assisted NDT within specific industries such as remanufacturing and Aersopace, in which parts are regularly moulded and susceptible to non-critical deformation has however presented drawbacks. In these cases, digital models for robotic path planning are not always available or accurate. Cutting edge methods to counter the limited flexibility of robots require an initial pre-scan using camera-based systems

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31

Zhang, Mengyuan, Mark Sutcliffe, P. Ian Nicholson, and Qingping Yang. "Efficient Autonomous Path Planning for Ultrasonic Non-Destructive Testing: A Graph Theory and K-Dimensional Tree Optimisation Approach." Machines 11, no. 12 (2023): 1059. http://dx.doi.org/10.3390/machines11121059.

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Within the domain of robotic non-destructive testing (NDT) of complex structures, the existing methods typically utilise an offline robot-path-planning strategy. Commonly, for robotic inspection, this will involve full coverage of the component. An NDT probe oriented normal to the component surface is deployed in a raster scan pattern. Here, digital models are used, with the user decomposing complex structures into manageable scan path segments, while carefully avoiding obstacles and other geometric features. This is a manual process that requires a highly skilled robotic operator, often takin

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Boerner, R., Y. Xu, L. Hoegner, and U. Stilla. "REGISTRATION OF UAV DATA AND ALS DATA USING POINT TO DEM DISTANCES FOR BATHYMETRIC CHANGE DETECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 51–58. http://dx.doi.org/10.5194/isprs-archives-xlii-1-51-2018.

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<p><strong>Abstract.</strong> This paper shows a method to register point clouds from images of UAV-mounted airborne cameras as well as airborne laser scanner data. The focus is a general technique which does rely neither on linear or planar structures nor on the point cloud density. Therefore, the proposed approach is also suitable for rural areas and water bodies captured via different sensor configurations. This approach is based on a regular 2.5D grid generated from the segmented ground points of the 3D point cloud. It is assumed that initial values for the registration a

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Bassier, Maarten, Meisam Yousefzadeh, and Maarten Vergauwen. "Comparison of 2D and 3D wall reconstruction algorithms from point cloud data for as-built BIM." Journal of Information Technology in Construction 25 (March 2, 2020): 173–92. http://dx.doi.org/10.36680/j.itcon.2020.011.

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As-built Building Information Models (BIMs) are becoming increasingly popular in the Architectural, Engineering, Construction, Owner and Operator (AECOO) industry. These models reflect the state of the building up to as-built conditions. The production of these models for existing buildings with no prior BIM includes the segmentation and classification of point cloud data and the reconstruction of the BIM objects. The automation of this process is a must since the manual Scan-to-BIM procedure is both time-consuming and error prone. However, the automated reconstruction from point cloud data is

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Zhu, Yanfeng, Fei Lin, and Weihui Chen. "Dental 3D Printing Design Based on Neurodegeneration and Virtual Reality Imaging Technology." BioMed Research International 2022 (September 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/6833959.

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Objective. To model and compare the stress variation and distribution of the implant and its supporting components under two types of loading with the abutment in the axial and coronal lingual augmentation positions by means of the 3D finite element method. Method. 15 all-ceramic crowns completed by the same technician between the years 2014 and 2015 were randomly selected. A high precision laser scanner was used to scan the specimen models of all-ceramic crowns and then converted and imported into the promapping software to create 15 solid models each in the axial position of the crown and th

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Meleshko, Yelizaveta, and Dmytro Bakin. "Sector Rasterization Method for Images on a Video Device With Mechanical Scanning." Central Ukrainian Scientific Bulletin. Technical Sciences, no. 3(34) (October 2020): 182–93. http://dx.doi.org/10.32515/2664-262x.2020.3(34).182-193.

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The goal of this work was to create a method for sectoral rasterization for images on video devices with mechanical scanning that can be used for advertising purposes. Preparing an image for display on a machine with a mechanical sector scan requires the creation of software for transferring a classic rectangular raster to a sector raster. When implementing software for an embedded computing system of mechanical image scanning for advertising purposes, the task was to reproduce a raster image using concentrically located circles, which are divided into sectors. The ambiguity of the transition

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McCROAN, KEITH D., and R. C. LACHER. "REGION COLORING, EDGE COLORING, AND SCAN-CONVERSION OF MAPS." International Journal of Computational Geometry & Applications 04, no. 04 (1994): 423–55. http://dx.doi.org/10.1142/s0218195994000239.

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A theory is introduced relating extrinsic colorings of complementary regions of an embedded graph to certain intrinsic colorings of the edges of the graph, called color cycles, that satisfy a certain self-consistency condition. A region coloring is lifted to an edge coloring satisfying the cycle condition, and a dual construction builds a region coloring from any color cycle and any embedding of the graph. Both constructs are canonical, and the constructions are information-conservative in the sense that lifting an arbitrary region coloring to a color cycle and then reconstructing a region col

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Frolov, S. V., A. Yu Potlov, T. A. Frolova, and S. G. Proskurin. "An Algorithm for Increasing Tissue Contrast in Visualization of the Structure of Complex Scattering Media by Optical Coherent Tomography." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 26, no. 4 (2020): 504–12. http://dx.doi.org/10.17277/vestnik.2020.04.pp.504-512.

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A phantom of a human blood vessel is used to study the quality of structural images in endoscopic OCT. Small-angle raster scanning, averaging and multilevel filtering are used. Compression of the structural image with raster averaging increases the contrast of the structural image by reducing the level of speckle noise. File compression is part of the imaging process and is performed for each pixel. The graphical dependence of the upper lines of the A-scans of the structural image of the blood vessel phantom wall is presented. The proposed algorithm allows obtaining high-quality structural ima

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Amineh, Reza K., Ali Khalatpour, Haohan Xu, Yona Baskharoun, and Natalia K. Nikolova. "Three-Dimensional Near-Field Microwave Holography for Tissue Imaging." International Journal of Biomedical Imaging 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/291494.

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This paper reports the progress toward a fast and reliable microwave imaging setup for tissue imaging exploiting near-field holographic reconstruction. The setup consists of two wideband TEM horn antennas aligned along each other’s boresight and performing a rectangular aperture raster scan. The tissue sensing is performed without coupling liquids. At each scanning position, wideband data is acquired. Then, novel holographic imaging algorithms are implemented to provide three-dimensional images of the inspected domain. In these new algorithms, the required incident field and Green’s function a

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Nasim, M. Quamer, Narendra Patwardhan, Tannistha Maiti, Stefano Marrone, and Tarry Singh. "VeerNet: Using Deep Neural Networks for Curve Classification and Digitization of Raster Well-Log Images." Journal of Imaging 9, no. 7 (2023): 136. http://dx.doi.org/10.3390/jimaging9070136.

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Raster logs are scanned representations of the analog data recorded in subsurface drilling. Geologists rely on these images to interpret well-log curves and deduce the physical properties of geological formations. Scanned images contain various artifacts, including hand-written texts, brightness variability, scan defects, etc. The manual effort involved in reading the data is substantial. To mitigate this, unsupervised computer vision techniques are employed to extract and interpret the curves digitally. Existing algorithms predominantly require manual intervention, resulting in slow processin

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de Smith, Michael J. "Distance Transforms as a New Tool in Spatial Analysis, Urban Planning, and GIS." Environment and Planning B: Planning and Design 31, no. 1 (2004): 85–104. http://dx.doi.org/10.1068/b29123.

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Many spatial datasets and spatial problems can be described with reference to regular lattice frameworks rather than continuous space. Examples include: raster scan and digital elevation model data, digital images, cost surfaces, cellular automata models, swarm models, and many others. This raises the question as to how distances should be measured in such cases and to what extent these relate to continuous space metrics. In this paper I show that a set of image processing algorithms known as distance transforms (DTs) may be applied to such datasets and can be extended to solve a wide range of

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Bonneau, David, Paul-Mark DiFrancesco, and D. Jean Hutchinson. "Surface Reconstruction for Three-Dimensional Rockfall Volumetric Analysis." ISPRS International Journal of Geo-Information 8, no. 12 (2019): 548. http://dx.doi.org/10.3390/ijgi8120548.

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Laser scanning is routinely being used for the characterization and management of rockfall hazards. A key component of many studies is the ability to use the high-resolution topographic datasets for detailed volume estimates. 2.5-Dimensional (2.5D) approaches exist to estimate the volume of rockfall events; however these approaches require rasterization of the point cloud. These 2.5D volume estimates are therefore sensitive to picking an appropriate cell size to preserve resolution while minimizing interpolation, especially for lower volume rockfall events. To overcome the limitations of worki

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Lynnyk, M. I., I. V. Liskina, І. А. Kalabukha, V. I. Ignatieva, and O. R. Tarasenko. "Possibilities of radiomics in processing data of CT scan of the chest organs in diagnosis of pulmonary tuberculosis." Tuberculosis, Lung Diseases, HIV Infection, no. 2 (June 17, 2022): 36–40. http://dx.doi.org/10.30978/tb-2022-2-36.

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The article shows the possibility of applying radiomics in the processing of chest CT data in the diagnosis of pulmonary tuberculosis. Currently, a subjective method based on the knowledge and experience of a radiologist is used to process CT images. A new approach to CT image analysis can fundamentally change the diagnostic process. Its essence is to create mathematical models and computer algorithms that take medical images as input and produce pathophysiological features of tissues.Dragonfly software, provided free of charge by OBYECT RESERCH SYSTEMS (ORS), Montreal, Canada, is used for CT

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Tang, Wenshuo, Jamie Blanche, Daniel Mitchell, Samuel Harper, and David Flynn. "Characterisation of Composite Materials for Wind Turbines Using Frequency Modulated Continuous Wave Sensing." Journal of Composites Science 7, no. 2 (2023): 75. http://dx.doi.org/10.3390/jcs7020075.

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Wind turbine blades (WTBs) are critical sub-systems consisting of composite multi-layer material structures. WTB inspection is a complex and labour intensive process, and failure of it can lead to substantial energy and economic losses to asset owners. In this paper, we proposed a novel non-destructive evaluation method for blade composite materials, which employs Frequency Modulated Continuous Wave (FMCW) radar, robotics and machine learning (ML) analytics. We show that using FMCW raster scan data, our ML algorithms (SVM, BP, Decision Tree and Naïve Bayes) can distinguish different types of c

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Sun, Xizhi, Edward Heaps, Andrew Yacoot, QingPing Yang, Petr Grolich, and Petr Klapetek. "Three-dimensional drift correction of localised non-raster scanning on atomic force microscopy." Measurement Science and Technology, July 23, 2024. http://dx.doi.org/10.1088/1361-6501/ad667d.

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Abstract Non-raster scanning can increase the scanning frame rate and measurement speed of atomic force microscopes (AFMs). It is also possible to correct the 3D drift during the non-raster scanning. However, the algorithm for the drift correction depends upon the properties of each scan pattern. While localised non-raster scanning using a rosette scan may be faster than the frequently used Lissajous scanning patterns, the drift correction is more challenging because the scan has crossing points only in local neighbouring segments where there are short temporal and spatial separations of the c

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Tang, Huiliang, Jiangzhao Zhang, Chu Wang, and Yu Long. "Novel path planning algorithm for laser powder bed fusion to improve the scan quality of triply periodic minimal surface structures." Journal of Laser Applications 36, no. 2 (2024). http://dx.doi.org/10.2351/7.0001147.

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Traditional path planning methods, such as contour and raster methods, suffer from problems like uneven filling, overfilling, and underfilling in the sliced layers, resulting in poor continuity of the lattice melt pool, internal porosity defects, and severe powder adhesion at the contour edges, while research on path planning for three-periodic minimal surfaces lattices is relatively limited. In this study, a scanning path planning method based on lattice equations control is proposed, which differs from traditional contour paths and raster paths. The new paths are controlled by the isosurface

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Zhu, Ting, Hao Chen, Kai Liu, Guangyou Fang, and Xuequan Chen. "A Row Displacement Correction Algorithm for High-speed and Accurate Terahertz Raster Scanning Imaging." Journal of Infrared, Millimeter, and Terahertz Waves, December 14, 2023. http://dx.doi.org/10.1007/s10762-023-00955-w.

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AbstractTerahertz time-domain spectroscopic imaging has become a common and useful technique for various interdisciplinary studies. Raster scan is still the most general and reliable imaging modality due to the lack of matrix detectors. In terahertz raster scanning imaging, row displacements occur due to the use of a two-way continuous scanning mode, the lack of delay line triggering, or other technical factors. The displacements result in image distortion which significantly affects the subsequent data analysis. In this article, a row displacement correction algorithm based on a genetic algor

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Lin, Dergan, Yi Jiang, Junjing Deng, Fabricio S. Marin, and Zichao Wendy Di. "Efficient boundary-guided scanning for high-resolution X-ray ptychography." Journal of Synchrotron Radiation 31, no. 1 (2024). http://dx.doi.org/10.1107/s1600577523009657.

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In the realm of X-ray ptychography experiments, a considerable amount of ptychography scans are typically performed within a field of view encompassing the target sample. While it is crucial to obtain overlapping scans in small increments over the region of interest for achieving high-resolution sample reconstruction, a significant number of these scans often redundantly measure the empty background within the wide field of view. To address this inefficiency, an innovative algorithm is proposed that introduces automatic guidance for data acquisition. The algorithm first directs the scan point

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J., Prakash, and Rajesh K. "Elliptical Features Extraction Using Eigen Values of Covariance Matrices, Hough Transform and Raster Scan Algorithms." June 22, 2007. https://doi.org/10.5281/zenodo.1059627.

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In this paper, we introduce a new method for elliptical object identification. The proposed method adopts a hybrid scheme which consists of Eigen values of covariance matrices, Circular Hough transform and Bresenham-s raster scan algorithms. In this approach we use the fact that the large Eigen values and small Eigen values of covariance matrices are associated with the major and minor axial lengths of the ellipse. The centre location of the ellipse can be identified using circular Hough transform (CHT). Sparse matrix technique is used to perform CHT. Since sparse matrices squeeze zero element

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J., Prakash, and Rajesh K. "A Novel Approach for Coin Identification using Eigenvalues of Covariance Matrix, Hough Transform and Raster Scan Algorithms." August 24, 2008. https://doi.org/10.5281/zenodo.1059459.

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In this paper we present a new method for coin identification. The proposed method adopts a hybrid scheme using Eigenvalues of covariance matrix, Circular Hough Transform (CHT) and Bresenham-s circle algorithm. The statistical and geometrical properties of the small and large Eigenvalues of the covariance matrix of a set of edge pixels over a connected region of support are explored for the purpose of circular object detection. Sparse matrix technique is used to perform CHT. Since sparse matrices squeeze zero elements and contain only a small number of non-zero elements, they provide an advant

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J., Prakash, and Rajesh K. "Human Face Detection and Segmentation using Eigenvalues of Covariance Matrix, Hough Transform and Raster Scan Algorithms." March 21, 2008. https://doi.org/10.5281/zenodo.1083719.

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In this paper we propose a novel method for human face segmentation using the elliptical structure of the human head. It makes use of the information present in the edge map of the image. In this approach we use the fact that the eigenvalues of covariance matrix represent the elliptical structure. The large and small eigenvalues of covariance matrix are associated with major and minor axial lengths of an ellipse. The other elliptical parameters are used to identify the centre and orientation of the face. Since an Elliptical Hough Transform requires 5D Hough Space, the Circular Hough Transform

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