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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems IV"

共 13603 条记录，以下是4921-4930 订阅

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Grape Downy Mildew On-line Detection Based on Accurate image processing Method Preformed on Embedded Ambient Intelligence System 4th

Grape Downy Mildew On-line Detection Based on Accurate Image...

引用

4th International conference on Intelligent, Interactive systems and Applications, IISA2019

作者： Xu, Peifeng Jiang, Qiyou Zhao, Zhongying Yang, Ning Zhang, Rongbiao School of Electrical and Information Engineering Jiangsu University Zhenjiang212013 China Jiangsu Vocational College of Agriculture and Forestry Jurong212400 China

ISBN: (纸本)9783030343866

In this paper, an accurate and intelligent Grape Downy Mildew (GDM) detection method based on common image processing and artificial neural network (ANNs) is proposed. In view of the structure of grape leaves and the distribution characteristics of GDM on leaves, firstly, image processing is mainly to solve the extraction of downy mildew areas on leaves, which is mainly composed of gray-scale processing, gray-scale linear transformation and binarization, and the effects of different processing algorithms and parameters on the results are discussed. Secondly, an ANNs is used to reduce the interference of grape leaf vein on the spot area statistics. Finally, the hardware and software platform based on ARM9 integrated processor, Linux and QT is used to realize the system integration. Compared with the traditional detection method, the accuracy of this detection method can reach 97%, which is close to the accuracy of the human eye, which can be used as an ambient intelligence system in the vineyard inspection, automatic completion of grape GDM detection and grading. © 2020, Springer Nature Switzerland AG.

关键词： image processing

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Lexicographic bit allocation for MPEG video coding

Lexicographic bit allocation for MPEG video coding

引用

Proceedings of the 1997 International conference on image processing. Part 2 (of 3)

作者： Hoang, Dzung T. Vitter, Jeffrey Scott Linzer, Elliot L. Digital Video Systems Inc Santa Clara United States

We consider the problem of allocating bits among pictures in an MPEG video coder to equalize the visual quality of the coded pictures, while meeting buffer and channel constraints imposed by the MPEG Video Buffering Verifier. We address this problem within a framework that consists of three components: 1) a bit production model for the input pictures, 2) a set of bit-rate constraints imposed by the Video Buffering Verifier, and 3) a novel lexicographic criterion for optimality. Under this framework, we derive simple necessary and sufficient conditions for optimality that lead to efficient algorithms.

关键词： image coding

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Novel hemispheric image formation: Concepts & applications

Novel hemispheric image formation: Concepts & applications

引用

conference on Photon Management III

作者： Thibault, Simon Konen, Pierre Roulet, Patrice Villegas, Mathieu ImmerVision Montreal PQ H3A 2A5 Canada

ISBN: (纸本)9780819471925

Panoramic and hemispheric lens technologies represent new and exciting Opportunities in both imaging and projection systems. Such lenses offer intriguing applications for the transportation/automotive industry, in the protection of civilian and military areas, business. In this paper we describe: a new optical design technique that provides a greater P degree of freedom in producing a variety of hemispheric spatial light distribution areas. This innovative optical design strategy, of generating and controlling image mapping, has been successful in producing high-resolution imaging and projection systems. This Success has Subsequently generated increased interest in the high-resolution camera/projector and the concept of absolute measurement with high-resolution wide-angle lenses. The new technique described in this paper uses optimization techniques to improve the performance of a Customized wide-angle lens optical system for a specific application. By adding a custom angle-to-plixel ratio at the optical design stage, this customized optical system provides ideal image coverage while reducing and optimizing signal processing. This novel image formation technique requires the development of new algorithms in order to view The panoramic linage on a display without any residual distortion.

关键词： panoramic panomorph hemispheric image forming rendering

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A Robust Modeling of Impainting System to Eliminate Textual Attributes While Restoring the Visual Texture from image and Video 8th

A Robust Modeling of Impainting System to Eliminate Textual ...

引用

8th Computer Science On-Line conference (CSOC)

作者： Pushpa, D. Maharaja Inst Technol Mysore Belavadi Karnataka India

ISBN: (纸本)9783030198077;9783030198060

The area of video analytics in the context of collaborative networking has gained a lot of attention from the research community owing to its potential applicability in the real life aspects. However, although image and video content which mostly get exchanged in the networking pipelines consist of several significant textual information from the application view-point which often display various confidential textual credentials of a corresponding individual. The realization of this fact that this textual attributes has to be removed for various image forensic requirements, has led to image impainting. The study has addressed this problem and come up with a novel analytical solution which imposes two different methods and further combines this two. In the 1st stage it applies a robust mechanism to detect the region of an image and video frame sequence where textual data representation can be localized and perform extraction of those data it introduces artifact and visual anomalies. On the completion of this stage in the 2nd phase, to eliminate the artifacts from the respective locations, it introduces a novel impainting technique which is computationally efficient and attain higher degree of textual data eliminated recovered image or video sequence which is almost similar like the original image or video sequence, can be visually perceived. The comparative performance analysis show that the proposed technique attain better outcome in terms of textual attributes detection accuracy (%) from specific region of interest (ROI) and also consume very less processing time (Sec) in contrast with the existing system.

关键词： image or video impainting Textual data localization and extraction Textual regions selection Post-processing

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A Complete Processor for SIFT Feature Matching in Video Sequences 9

A Complete Processor for SIFT Feature Matching in Video Sequ...

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9th IEEE International conference on Intelligent Data Acquisition and Advanced Computing systems - Technology and Applications (IDAACS)

作者： Vourvoulakis, John Kalomiros, John Lygouras, John Democritus Univ Thrace Dept Elect & Comp Engn GR-67100 Xanthi Greece Technol & Educ Inst Cent Macedonia Dept Informat Engn Serres 62124 Greece

ISBN: (纸本)9781538606971

Efficient detection and reliable matching of image features constitute a fundamental task in computer vision. When real-time operation is required, the solution to this problem becomes a real challenge, because of increased processing requirements. Scale Invariant Feature Transform (SIFT) is considered as a stable and robust algorithm for the extraction of invariant features, however special hardware is required for high frame-rate applications, in order to overcome its computational complexity in real-time. In this paper, a complete processor for SIFT feature matching in video sequences is presented. It performs SIFT feature extraction and matching, as well as rejection of false correspondences using the random sample consensus (RANSAC) algorithm. The processor was evaluated using metrics like response, repeatability and recall. It was found that the proposed fixed-point hardware implementation has a comparable performance with software implementations of SIFT. The processor architecture can process more than 36 fps with resolution 640x480, when it is implemented in Cyclone iv FPGA technology.

关键词： SIFT FPGA feature matching image processing

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Local area signal-to-noise ratio (LASNR) algorithm for image segmentation - art. no. 66962H

Local area signal-to-noise ratio (LASNR) algorithm for image...

引用

conference on Applications of Digital image processing XXX

作者： Kegelmeyer, Laura Mascio Fong, Philip W. Glenn, Steven M. Liebman, Judy A. Lawrence Livermore Natl Lab Livermore CA 94551 USA

ISBN: (纸本)9780819468444

Many automated image-based applications have need of finding small spots in a variably noisy image. For humans, it is relatively easy to distinguish objects from local surroundings no matter what else may be in the image. We attempt to capture this distinguishing capability computationally by calculating a measurement that estimates the strength of signal within an object versus the noise in its local neighborhood. First, we hypothesize various sizes for the object and corresponding background areas. Then, we compute the Local Area Signal to Noise Ratio (LASNR) at every pixel in the image, resulting in a new image with LASNR values for each pixel. All pixels exceeding a pre-selected LASNR value become seed pixels, or initiation points, and are grown to include the full area extent of the object. Since growing the seed. is a separate operation from finding the seed, each object can be any size and shape. Thus, the overall process is a 2-stage segmentation method that first finds object seeds and then grows them to find the full extent of the object. This algorithm was designed, optimized and is in daily use for the accurate and rapid inspection of optics from a large laser system (National Ignition Facility (NIF), Lawrence Livermore National Laboratory, Livermore, CA), which includes images with background noise, ghost reflections, different illumination and other sources of variation.

关键词： Signal to noise ratio image segmentation Interference (communication) Inspection National Ignition Facility image processing algorithms and systems Optical inspection Boxcar filters Gaussian filters MATLAB

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Multiscale edge analysis of halftoned images. 3

Multiscale edge analysis of halftoned images.

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conference on Human Vision & Electronic Imaging

作者： Veryovka, O Fournier, A Buchanan, J Univ Alberta Dept Comp Sci Edmonton AB Canada

ISBN: (纸本)081942739X

A number of techniques for halftoning gray scale images have been proposed. Unfortunately a reliable methodology of comparing results still has to be developed. Our work is focused on analysis of edge information in halftoned images. In particular we are interested in the preservation of the original image edges and the appearance of edge artifacts created by the halftoning process. Our approach is a multiscale analysis based on a wavelet transform. The wavelet smoothing function is approximately a derivative of a Gaussian function. image edges are found by identifying extrema points of the wavelet transform. The edge points of the same scale are connected into contours. Edge contours are linked into a pyramid structure across multiple scales. Evolution of wavelet maxima in this pyramid allows us to classify discontinuities in the image and to measure their significance. We studied performance of popular halftoning methods on images with various types of edges. Multiscale edge structures are identified in original gray scale and halftoned images. Corresponding values of the wavelet transform are compared. Our experiments show that proposed methodology can be used to measure fidelity of edge reproduction by the halftoning process. Also, various contouring artifacts can be reliably identified.

关键词： Wavelet transforms Wavelets Edge detection Visualization Analytical research image analysis image segmentation image processing algorithms and systems image quality Detection and tracking algorithms

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Brain MRI images Pre-processing of Heterogeneous Data-sets for Deep Learning Applications

Brain MRI Images Pre-processing of Heterogeneous Data-sets f...

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13th International conference on Bioinformatics Models, Methods and algorithms (BIOINFORMATICS) held as part of 15th International Joint conference on Biomedical Engineering systems and Technologies (BIOSTEC)

作者： Ostellino, S. Benso, A. Politano, G. Politecn Torino Comp Sci & Automat Dept Turin Italy

ISBN: (纸本)9789897585524

Automatic segmentation of tissues and lesions is a very important step in any Artificial Intelligence pipeline designed to analyze medical images (especially MRI). This is particularly true for brain MRI images of patients affected by neurological pathologies like Multiple Sclerosis (MS). To perform well, cutting edge Artificial Intelligence approaches like Deep Learning need a huge amount of training data. Unfortunately, available data-sets of MRI medical images often lack annotations, standardized acquisition protocols, formats and dimensions. This heterogeneity in the data-sets makes it often very difficult to use and integrate different datasets in the same pipeline. Available image pre-processing tools have specific requirements and might not be adequate for extensive usage with heterogeneous data-sets. This paper presents an on-going work on a comprehensive and consistent brain MRI images pre-processing pipeline for Deep Learning applications enabling the creation of a congruous data-set. The pipeline was tested with the public available ISBI2015 data-set.

关键词： Multiple Sclerosis MRI Imaging Pre-processing Deep Learning Data Preparation Heterogeneous Data-sets Real Clinical Data

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Three-Dimensional Reconstruction and Phenotype Nondestructive Measurement Technology for Rape Roots 40

Three-Dimensional Reconstruction and Phenotype Nondestructiv...

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40th IEEE International conference on Distributed Computing systems (ICDCS)

作者： Liang, Rui Xu, Shengyong Huazhong Agr Univ Coll Engn Wuhan Peoples R China

ISBN: (纸本)9781728170022

In recent years, 3D reconstruction technology has developed rapidly. It is a promising field to apply 3D reconstruction technology to the measurement of plant configuration parameters. The main content of this paper is the 3D reconstruction technology for rape roots and the measurement methods for their key traits. Firstly, we set up a set of low-cost image sequence acquisition device of rape roots. We collected image data with common consumption level camera and used the method of SfM to carry out 3D reconstruction of rape roots. Then we proposed a series of algorithms to measure the surface area, volume, number of primary lateral roots and length of taproot based on the huge point cloud data obtained from 3D reconstruction. Finally, we designed a set of nondestructive measurement system for key traits of rape roots. The total volume of root, the number of primary lateral roots and the length of taproot were measured manually. Compared with the results of manual measurement, the accuracy of the main algorithm proposed in this paper is not less than 95% Our contribution is to provide a 3D reconstruction method that is easy to operate, and to provide a high-precision measurement method for the key traits of rape roots, which has an important value for quantitative analysis of rape roots phenotype.

关键词： rape roots 3D reconstruction point cloud data processing nondestructive measurement

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Proceedings of the 21st International conference on Computing and Information Technology (IC2IT 2025) 1

Proceedings of the 21st International Conference on Computin...

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丛书名： Lecture Notes in Networks and systems

1000年

作者： Phayung Meesad Sunantha Sodsee Watchareewan Jitsakul Sakchai Tangwannawit

ISBN: (数字)9783031902956

ISBN: (纸本)9783031902949

This book gathers the high-quality papers presented at the 21st International conference on Computing and Information Technology (IC2IT2025), held on May 15–16, 2025, in Kanchanaburi, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology

关键词： Data Engineering Computational Intelligence

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