Relevant bibliographies by topics / Raster Scan Algorithm

Contents

  1. Journal articles
  2. Book chapters
  3. Conference papers

Academic literature on the topic 'Raster Scan Algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 13 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Raster Scan Algorithm.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Raster Scan Algorithm"

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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 Voronoi diagram of a binary image that mixes CUDA multi-thread parallel image processing with a raster propagation of distance information over small fragments of the image. The basic idea is to exploit the throughput and the latency in each level of memory in the NVIDIA GPU; the image is set in the global memory, and can be accessed via texture memory, and we divide the problem into blocks of threads. For each block we copy a portion of the image and each thread applies a raster scan-based algorithm to a tile of m×m pixels. Experiment results exhibit that our proposed GPU algorithm can improve the efficiency of the Euclidean distance transform in most cases, obtaining speedup factors that even reach 3.193.
APA, Harvard, Vancouver, ISO, and other styles
4

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.

Full text
Abstract:
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 images.
APA, Harvard, Vancouver, ISO, and other styles
5

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.

Full text
Abstract:
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 while reducing the hardware requirements. The latency introduced by the conversion from raster scan to zig-zag scan is compensated for by a new method of detecting object completion, which enables the feature vector for completed connected components to be output at the earliest possible opportunity.
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
Abstract:
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 important cause of PAs. The PASA employs a gradient descent scheme to iteratively separate the SI pattern from original datasets and a probe support constraint applied in the object update. Both simulative and experimental data reconstructions demonstrated the effectiveness of the new algorithm in suppressing PAs and improving ptychography resolution and indicated a better performance of the PASA method in PA removal compared to other mainstream algorithms. In the meantime, we provided a complete description of SI conception and its key role in PA generation. The present work enhances the feasibility of raster-scan ptychography and could inspire new thoughts for dealing with various noises in ptychography.
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
Abstract:
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, one of the popular nature-inspired optimization algorithms, is used to optimize the operational parameters of test zone search. The proposed optimization enhanced the speed up to 50% while maintaining or improving the Bjontegaard rate (BD-Rate) and Bjontegaard PSNR (BDSNR).
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
Abstract:
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 complexity, and lesser memory requirement. The algorithm is implemented in a 0.18 μm CMOS technology and consumes 0.16 mm × 0.16 mm silicon area and 18 μW of power when working at 2 frames per second.
APA, Harvard, Vancouver, ISO, and other styles
10

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.

Full text
Abstract:
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 utilizing radiating antennas to evaluate the RAS performance of larger stealth structures without damaging the specimen. All these conventional evaluation systems can scan a single point at a time. A scanning free-space measurement (SFM) system was an initial step toward automated scanning of large stealth structures. This system was capable of scanning 1000 mm × 1000 mm flat structures using raster scanning with two linear stages. However, the two-dimensional SFM was not applicable to leading-edge and cylindrical structures, and the signal-to-noise ratio (SNR) is highly affected by the specimen curvature. In this paper, a 3-axis scanning free-space measurement (3-axis SFM) system was developed. The system has two linear stages and a rotational stage for raster scanning of the specimen. The system performance was checked by scanning cylindrical RAS specimens with a radius of 100 mm. The results were then compared to the SFM system, which showed that the SNR of the 3-axis SFM is quite high compared to the SFM system. A coordinate-based scanning algorithm was also developed for 3-axis SFM to ensure a fixed interval scan of complex geometrically shaped specimens, such as wing leading edges, at lower incident angles. The algorithm achieved a zero-degree incident angle scan with ±1 degree of accuracy for the NACA-M3 symmetrical leading-edge specimen. Different scan parameters and results are visualized in the developed graphical user interface software. Finally, the inspected results were curvature-compensated to obtain the actual RAS performance of the specimen. The accuracy of the geometry-based perfect electric conductor (PEC) reflection-loss prediction algorithm was further improved by adding a stand-off distance effect and more specimen curvature data to the algorithm. The accuracy of the algorithm was verified by comparing the predicted PEC results to the measured PEC results of the corresponding specimen.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Raster Scan Algorithm"

1

Rameshkumar, C., and A. Hemlathadhevi. "Automatic Edge Detection and Growth Prediction of Pleural Effusion Using Raster Scan Algorithm." In Proceedings of International Conference on Computational Intelligence and Data Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6459-4_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Al-Mufty, Ahmed. "Zoning of Soil Media by Raster Scan Algorithms for Two-Dimensional Steady State Flow." In Atlantis Highlights in Engineering. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-258-3_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Raster Scan Algorithm"

1

Chen, Alvin, Fotis Kopsaftopoulos, and Sandipan Mishra. "Unsupervised Online Anomaly Detection of Metal Additive Manufacturing Processes via a Statistical Time-Frequency Domain Approach." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-94486.

Full text
Abstract:
Abstract Fault detection techniques in metal additive manufacturing (AM) have explored a variety of monitoring methods to flag anomalies as they occur during the sintering process. Although many in-situ techniques are able to adeptly detect these abnormalities, several utilize machine learning black box methods that do not easily transfer to varying print geometries. An approach that is adaptable to a multitude of geometries holds an advantage in determining anomalies for more complex cross-sections and raster patterns. To address this lack of a geometry agnosticism, we propose a method that detects faults using the frequency content of the melt pool image response through an unsupervised approach. Scan line length and scan speed extracted from known geometry can be translated to associated frequencies via a spectrogram. We examine three specific geometries to determine detection performance on each by comparing the frequency content to the nominal response. A deviation from the expected performance will signify that an anomaly has occurred. We verify this approach is feasible for fault detection and is accurate in detecting anomalies that are hard to observe in the image time series. A feasible geometry agnostic method and the current interpretability will be discussed in this paper. The results reached in this paper strongly indicate that the approach is promising, has potential for improvement, and that a geometrically independent method is sensible. With further work, a generic algorithm applicable on any geometry will be achievable.
APA, Harvard, Vancouver, ISO, and other styles
2

Prakash, J., M. B. Meenavathi, and K. Rajesh. "Linear Feature Extraction using combined approach of Hough transform, Eigen values and Raster scan Algorithms." In 2006 Fourth International Conference on Intelligent Sensing and Information Processing. IEEE, 2006. http://dx.doi.org/10.1109/icisip.2006.4286063.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Shoop, Barry L. "Optical digital image halftoning." In OSA Annual Meeting. Optica Publishing Group, 1993. http://dx.doi.org/10.1364/oam.1993.wtt.2.

Full text
Abstract:
Previously, we have presented a new method of optical analog-to-digital conversion based on oversampling and error diffusion coding techniques and demonstrated a firstorder error diffusion modulator using multiple quantum well modulators.1 In this paper, we extend this idea to multidimensional error diffusion coding and, specifically, optical digital image halftoning. Although error diffusion coding can be shown to provide an optimum solution to this problem subject to a fidelity criterion, electronic realizations suffer from implementation constraints. In an electronic realization, the algorithm raster scans the image, and for each pixel, a binary quantization decision is made based on the intensity of the individual pixel and the weighted error from pixels in the diffusion region. As a result, the diffusion filter is necessarily causal resulting in undesirable visual artifacts, and substantial memory storage is required. By using an optical implementation of this algorithm, each pixel quantization decision can be computed in parallel and therefore the diffusion filter need not be causal. Visual artifacts resulting from the causality of the diffusion filter can therefore be reduced. Also, the inherent parallelism associated with optical processing can reduce the computational requirements while decreasing the total convergence time of the halftoning process.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Raster Scan Algorithm' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography