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

共 14657 条记录，以下是481-490 订阅

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Cancer Detection in Lungs Using image processing and Liquid Biopsy Analysis

Cancer Detection in Lungs Using Image Processing and Liquid ...

引用

2023 IEEE World conference on Applied Intelligence and Computing, AIC 2023

作者： Trivedi, Kalyani Gathe, Sujesh Ahmed, Sheen Gupta, Anju Shastrakar, Taniya Shri Ramdeobaba College Engineering and Management Department of Electronics Design Technology Nagpur440013 India

ISBN: (纸本)9798350310061

Lung cancer is the most fatal type of cancer, which results from abnormal cell growth in the lung tissue. It is a leading cause of cancer-related deaths globally, and early detection is crucial for successful treatment and improved patient outcomes. Various methods are available for detecting lung cancer, such as imaging techniques like chest X-rays, computed tomography (CT) scans, and magnetic resonance imaging (MRI), as well as non-invasive diagnostic methods like liquid biopsy. Liquid biopsy involves identifying biomarkers in blood or other bodily fluids, such as circulating tumor cells (CTCs) or cell-free DNA (cfDNA), which can indicate the presence of lung cancer. The proposed system uses CT scans to obtain lung tissue images and applies image processing algorithms to identify and classify potentially cancerous regions. In addition, the system uses liquid biopsy to detect CTCs or cfDNA in the patient's blood. The system employs a multi-stage process, including pre-processing, segmentation, feature extraction, and classification, to enhance the accuracy of lung cancer detection. Evaluation of the system's performance using a dataset of CT images and liquid biopsy results from patients shows that the combination of image processing and liquid biopsy improves the accuracy of lung cancer detection compared to using image processing alone. These findings are significant and have implications for the development of advanced systems for automated lung cancer detection that incorporate image processing and liquid biopsy. © 2023 IEEE.

关键词： Diseases

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A personal retrospective on the development of the DLP and related spinoffs 16

A personal retrospective on the development of the DLP and r...

引用

conference on Emerging Digital Micromirror Device Based systems and Applications XVI

作者： Cohn, Robert W. Univ Louisville Elect Res Inst Louisville KY 40209 USA Univ Louisville Nanotechnol Ctr Louisville KY 40209 USA

ISBN: (纸本)9781510670617;9781510670600

In 1985 I joined Texas Instruments' (TI's) Deformable Mirror Device ( DMD) group to develop applications of the cantilever device in coherent optical signal processing. At that time I witnessed the "aha discovery" that led to the invention of the DLP. It is interesting to consider the many years of effort that led Larry Hornbeck to this commercially successful implementation, not just the technology, but the efforts to sustain the project through sponsored R&D. While TI viewed the only sustainable market as (incoherent) display applications, the DMD group sustained the effort with DoD funding for coherent and incoherent optical signal processing systems, including matched filter correlators, digital optical switches, optical crossbar switches and related neural network processors. For coherent signal processing the need for a 2p phase-only (piston-motion pixel) spatial light modulator (SLM) was readily apparent to the sponsors. While TI saw little commercial justification for the phase-only device, this need inspired me around 1991 to develop a new class of real-time computer-generated holography algorithms referred to a pseudorandom encoding, in which each phase-only pixel is encoded with a desired magnitude and phase. The optical Fourier transforms of the modulation enabled my developments of multi-spot object targeting and laser tweezer systems. Around 2005 I began using Digital Light processing (DLP) developer kits in place of scanners to time-share images with a small number of detectors. One system using a single, high sensitivity detector together with well- chosen DLP frames quickly forms a "partial image" of a point-like scene objects - arguably, an early version of compressive sensing. This paper concludes with recommendations on optimizing the performance and applications of, and potential markets for TI's recently demonstrated phase-only DLP.

关键词： Deformable mirror device digital light processing optical information processing compressive sensing

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An Alternative Nonlinear Diffusion Algorithm for image Denoising and Deblurring 4th

An Alternative Nonlinear Diffusion Algorithm for Image Deno...

引用

4th International conference on Numerical Computations: Theory and algorithms, NUMTA 2023

作者： Fatone, Lorella Funaro, Daniele Università di Camerino Via Madonna delle Carceri 9 Camerino62032 Italy Università di Modena e Reggio Emilia Via Campi 103 Modena41125 Italy

ISBN: (纸本)9783031812439

We discuss some applications in image restoration and enhancement, such as denoising and deblurring. The treatment involves a processing algorithm where an image is represented in a continuous frame and is manipulated through suitable time-dependent nonlinear Partial Differential Equations (PDEs). For this purpose, an ad-hoc space discretization scheme is implemented. As in the classic PDE-based image processing methods, the idea is to smooth out the regions of almost uniform shade and emphasize the discontinuities. The proposed methodology is quite efficient as satisfactory results are obtained after only one step. We present some numerical results by examining examples corrupted by average blur and/or salt and pepper noise. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Salt and pepper noise

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Research on Infrared Touch Screen Multi-Touch Recognition Algorithm and Simulation 7

Research on Infrared Touch Screen Multi-Touch Recognition Al...

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7th International conference on Communication and Information systems, ICCIS 2023

作者： Ji, Zhangyuan Sun, Jingguo Li, Hewei Chang, Yuanpei Xue, Ying Zhang, Yu Peng, Yue Zuo, Jiancun School of Computer and Information Engineering Institute for Artifical Intelligence Shanghai Polytechnic University Shanghai China

ISBN: (纸本)9798350330540

With the continuous development of human computer interaction technology, large-size infrared touch screens have become an important interactive tool, and improving their recognition accuracy has become one of the important research directions. In order to understand the research status and trend of multi-touch recognition algorithm for large size infrared touch screen, based on extensive research of existing literature and latest achievements, two types of infrared multi-touch technologies based on different principles are first introduced, and then discusses three types of infrared multi-touch recognition algorithms: coordinate positioning algorithm, image processing algorithm and hybrid recognition algorithm. Through comparative analysis, it is found that the hybrid recognition algorithm has higher accuracy in multi-touch recognition, and the algorithm can be applied to large size infrared touch screen to improve the recognition accuracy. Finally, this paper summarizes the commonly used simulation platforms and functional and performance testing methods for infrared touch screens. This article provides a complete research framework of multi-touch recognition algorithms of infrared touch screens for future related research. © 2023 IEEE.

关键词： Algorithm simulation image processing Infrared touch screen Multi-touch recognition

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Mittag-Leffler Filter and Its Application in Bio-signals processing∗ 27

Mittag-Leffler Filter and Its Application in Bio-signals Pro...

引用

27th IEEE Signal processing: algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Petras, Ivo Technical University of Košice Faculty of BERG st. Letná 1/9 Košice042 00 Slovakia

ISBN: (纸本)9788362065486

This contribution introduces a novel variant of the well-known low-pass Gaussian filter, the Mittag-Leffler filter, applicable in 1D and 2D contexts. This new filter incorporates a Mittag-Leffler function within its probability density function. It features three tunable parameters that adjust the curve shape and the filter's forgetting factor. Illustrative examples involving two real ECG signals (one male and one female) and a real MRI image (female) highlight the main advantages of the proposed filter in comparison to the traditional Gaussian filtering (denoising) technique. Implementation details and the Matlab functions for the proposed 1D and 2D filters are provided too. © 2024 Division of Signal processing and Electronic systems, Poznan University of Technology (DSPES PUT).

关键词： Probability density function

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Det-Recon-Reg: An Intelligent Framework Towards Automated Large-Scale Infrastructure Inspection

Det-Recon-Reg: An Intelligent Framework Towards Automated La...

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2024 International conference on Intelligent Robots and systems

作者： Yang, Guidong Zhang, Jihan Zhao, Benyun Gao, Chuanxiang Huang, Yijun Wen, Junjie Li, Qingxiang Tang, Jerry Chen, Xi Chen, Ben M. Chinese Univ Hong Kong CUHK Dept Mech & Automat Engn Hong Kong Peoples R China Univ Calif Berkeley Dept Mech Engn High Performance Robot Lab Berkeley CA 94720 USA

ISBN: (纸本)9798350377712;9798350377705

Visual inspection plays a predominant role in inspecting infrastructure surface. However, the generalization of existing visual inspection systems to large-scale real-world scenes remains challenging. In this paper, we introduce Det-Recon-Reg, an intelligent framework separating the complex inspection procedure into three stages: Detect, Reconstruct, and Register. (1) For defect detection (Detect), we present the first high-resolution defect dataset tailored for large-scale defect detection. Based on the dataset, we evaluate the most effective real-time object detection algorithms and push the boundary by proposing CUBIT-Net for real-world defect inspection. (2) For infrastructure reconstruction (Reconstruct), we propose a learning-based multi-view stereo (MVS) network to adapt to large-scale scenes, taking as input the multi-view images and outputting the point cloud reconstruction, where its performance has been validated on the standard MVS datasets, including BlendedMVS, DTU, and Tanks and Temples datasets. (3) For defect localization (Register), we propose an effective registration method based on the geographic information system that registers the detected defects onto the reconstructed infrastructure model to establish a global reference for maintenance measures. The real-world experiments further verify the effectiveness and efficiency of our proposed framework. More details about our proposed dataset, code, and appendix are available on our project page: https://***/large-scale-inspect-framework/.

关键词： Stereo image processing

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Research on image Signal Enhancement and Denoising algorithms for Intelligent Communication systems

Research on Image Signal Enhancement and Denoising Algorithm...

引用

Information Technology, Communication Ecosystem and Management (ITCEM), International conference on

作者： Shenghan Luo Xinyan Wang Southeast University Nanjing China Xuzhou Pharmaceutical Vocational College Xuzhou China

ISBN: (数字)9798331542696

ISBN: (纸本)9798331542702

The quality of image signals directly affects the performance of intelligent communication systems. This paper proposes a set of image enhancement and denoising algorithms to address image quality degradation in intelligent communication systems. For image enhancement, we designed an adaptive histogram equalization algorithm based on blocks and a contrast adaptive optimization method, and implemented a detail enhancement algorithm combining multi-scale edge detection and enhancement. In terms of image denoising, we proposed adaptive median filtering, improved soft-threshold wavelet domain denoising, and non-local means algorithms to effectively suppress various types of noise. The system is developed using a hybrid $\mathrm{C}++$ and Python framework with parallel processing achieved through multithreading technology. Experimental results show that the proposed algorithms significantly improve image quality, processing efficiency, and system stability, providing reliable image signal processing support for intelligent communication systems.

关键词： image quality Wavelet transforms Histograms Wavelet domain Communication systems Noise reduction Signal processing algorithms image enhancement Streams image denoising

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image Completion Via Dual-Path Cooperative Filtering 48

Image Completion Via Dual-Path Cooperative Filtering

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48th IEEE International conference on Acoustics, Speech and Signal processing, ICASSP 2023

作者： Shamsolmoali, Pourya Zareapoor, Masoumeh Granger, Eric East China Normal University Shanghai Key Laboratory of Multidimensional Information Processing China Shanghai Jiao Tong University School of Automation China Ets Lab. d'Imagerie de Vision et d'Intelligence Artificielle Dept. of Systems Eng. Canada

ISBN: (纸本)9781728163277

Given the recent advances with image-generating algorithms, deep image completion methods have made significant progress. However, state-of-art methods typically provide poor cross-scene generalization, and generated masked areas often contain blurry artifacts. Predictive filtering is a method for restoring images, which predicts the most effective kernels based on the input scene. Motivated by this approach, we address image completion as a filtering problem. Deep feature-level semantic filtering is introduced to fill in missing information, while preserving local structure and generating visually realistic content. In particular, a Dual-path Cooperative Filtering (DCF) model is proposed, where one path predicts dynamic kernels, and the other path extracts multi-level features by using Fast Fourier Convolution to yield semantically coherent reconstructions. Experiments on three challenging image completion datasets show that our proposed DCF outperforms state-of-art methods. © 2023 IEEE.

关键词： Semantics

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A Route Recommendation Algorithm Based on Multi-Dimensional Data Fusion and Analysis of its Social Utility 3

A Route Recommendation Algorithm Based on Multi-Dimensional ...

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3rd International conference on Integrated Circuits and Communication systems, ICICACS 2025

作者： Dai, Yazhe Li, You College of Electrical and Information Engineering JiLin Agricultural Science and Technology University Jilin China

ISBN: (纸本)9798331508456

The current route recommendation algorithm has problems such as single data. This paper designs a route recommendation algorithm based on multidimensional data fusion, uses convolutional neural network (CNN) to extract the features of user behavior data, geographic location information and environmental factor data, and then uses the attention mechanism to realize the fusion processing of multidimensional data. Based on the fused multidimensional data features, collaborative filtering and content-based recommendation algorithms are used to generate personalized route recommendations in combination with user preferences and real-time traffic conditions. Experiments have shown that the recommendation accuracy of this algorithm can reach up to 100%under controlled test conditions. Compared with the Bellman-Ford algorithm, this algorithm takes an average of 5.46 minutes less time, and the adoption rate of the recommendation results of this algorithm is as high as 99.9%, which proves the effectiveness of the algorithm in the cultural and tourism route recommendation scenario. © 2025 IEEE.

关键词： image fusion

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Lightweight DL-based Drone image Classification for Surveillance Applications 21

Lightweight DL-based Drone Image Classification for Surveill...

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21st International System-on-Chip Design conference, ISOCC 2024

作者： Yadav, Abhishek Fujita, Masahiro Kumar, Binod Indian Institute of Technology Jodhpur India University of Tokyo Japan

ISBN: (纸本)9798350377088

With the extensive use of surveillance-based systems in the present age, it is recommended to employ lightweight deep neural networks (DNNs) that not only have small silicon footprints and low latency but also provide enhanced security. In this paper, we incorporate a lightweight Attention-CNN algorithm on drones for image classification in smart city surveillance systems. By processing data directly on the drone, our approach significantly reduces the delay associated with data transmission to centralized servers, enhancing the effectiveness of surveillance operations. We ensure that our algorithms maintain high accuracy while operating within the constraints of the hardware resources. Additionally, we evaluate the resilience of these DL models against adversarial attacks, considering the security implications of deploying in real-life applications. To address the demands of latency-sensitive applications that require rapid analysis of high-resolution images, we also explore the implementation on a field-programmable gate array board. The experimental results show a maximum reduction factor of 9.56 in the memory size along with a 2.92% drop in the accuracy in the software implementation and the total power consumption on the ZCU104 FPGA board is 10 W. © 2024 IEEE.

关键词： Drones

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