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检索条件"任意字段=2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023"

共 4813 条记录，以下是491-500 订阅

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MEDICAL WASTE SORTING: A computer VISION APPROACH FOR ASSISTED PRIMARY SORTING

MEDICAL WASTE SORTING: A COMPUTER VISION APPROACH FOR ASSIST...

引用

ieee international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Bruno, A. Caudai, C. Leone, G. R. Martinelli, M. Moroni, D. Crotti, F. CNR Inst Informat Sci & Technol Pisa Italy CISA Lucca Italy

ISBN: (纸本)9798350302615

Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management involves special care and high costs. However, this kind of waste contains a significant fraction of highly valued materials that can enter a circular economy process. To this end, in this paper, we propose a computer vision approach for assisting in the primary sorting of medical waste. The feasibility of our approach is demonstrated on a representative dataset we collected and made available to the community, with which we have trained a model that achieves 100% accuracy, and a new dataset on which the trained model exhibits good generalization.

关键词： Medical waste management computer vision image classification Annotated dataset Automated sorting

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processing of Speech Signals Based on MATLAB & FDAtool

Processing of Speech Signals Based on MATLAB & FDAtool

引用

image processing and computer applications (icipca), ieee international conference on

作者： Lihong Yan Jiayu Huan Han Gao Wei Zhang Jiaqi Ma Xi'an Eurasia University Xi'an Shaanxi China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

In order to solve the problem that the speech signal with noise in the communication, the paper proposes a method to reduce the noise of speech signal based on MATLAB & FDAtool. FDAtool is a GUI interface, which has the characteristics of graphic visualization, intuitive and effective to analysis of the system frequency spectrum. By analysis the time and frequency domain characteristics of speech and the noise signal, it makes use of the FDAtool and window functions to design the FIR filter to process the speech signal. The design results show that the combination of window function and FDAtool can effective perform signal processing and reduce the noise.

关键词： Human computer interaction Visualization Finite impulse response filters System performance image processing Noise Information filters Speech processing MATLAB Information systems

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Multi-EfficientNet ensemble-based brain tumor MRI images classification

Multi-EfficientNet ensemble-based brain tumor MRI images cla...

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2023 international conference on computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2023

作者： Lu, Yuhao Tianjin University of Technology 391 Binshui West Road Xiqing District Tianjin300384 China

ISBN: (纸本)9781510677685

Early screening for tumor symptoms through magnetic resonance imaging (MRI) is crucial for the timely diagnosis and treatment of brain tumor patients. To address the challenge of poor prediction accuracy in single deep learning models, a ensemble learning based brain tumor image classification approach with multiple EfficientNet models is proposed in this paper. Multiple EfficientNet models are integrated, and their feature maps are fused through a spatial channel attention module. Experimental results demonstrate a significant improvement in accuracy compared to other single-model prediction methods. The F1-Score for the four classes, Glioma, Meningioma, Pituitary, and Normal, reached 0.95, 0.95, 0.98, and 0.96, respectively. The proposed method provides robust support for the early diagnosis and treatment of brain tumor patients and holds promising prospects for wide clinical applications. © 2024 SPIE.

关键词： image classification

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Advancements in image Forgery Detection: A Comprehensive Survey 7

Advancements in Image Forgery Detection: A Comprehensive Sur...

引用

7th international conference on image Information processing, ICIIP 2023

作者： Parmar, Parth Diwan, Anjali Mohan, Monisha Marwadi University Computer Engineering Depaertment Rajkot India Marwadi University Computer Engineering Depaertment-AI Rajkot India

ISBN: (纸本)9798350371406

The alteration, editing, or creation of digital photographs for deceit, misrepresentation, or fraud is called 'Digital image Forgery.' image manipulation entails utilizing numerous methods and tools to change an image's content or metadata to produce a convincing fake. Digital picture alteration may be malevolent, enjoyable, informative, or propaganda. The ability to identify and prevent digital picture fraud is essential to the dependability of visual data in the digital age. In this article, we discuss the many forms of Digital image Forgery, its origins, the image forging life cycle, and its stages. Here, we compare several methods of image forgery in an effort to assist upcoming researchers. © 2023 ieee.

关键词： Life cycle

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Lightwight image Super-Resolution: The Shift Ladder Transformer Approach 2

Lightwight Image Super-Resolution: The Shift Ladder Transfor...

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2nd international conference on image processing, computer Vision and Machine Learning, ICICML 2023

作者： Zhang, Jian Wu, Yujie Ma, Jingbin Ling, Siyao Li, Zhaoyan School of Computer and Software Engineering Xihua University Chengdu China

ISBN: (纸本)9798350331417

In lightweight Super Resolution (SR) tasks, balancing performance and efficiency is a challenge for CNN-based models. The Transformer architecture has been introduced into super-resolution tasks due to its global self-attention mechanism. However, existing lightweight image super-resolution networks based on Transformers typically employ localized attention to sparsify their attention, thereby limiting their receptive field and uniformity of pixel weight distribution. To address these challenges, this paper introduces the Shift Ladder Transformer for Super Resolution (slTSR), a lightweight model that melds lightweight convolutional layers with a distinct residual Shift Ladder Transformer block. With the integration of the Shift Ladder Transformer Layer (SLTL) strategy, slTSR effectively amalgamates information from diverse spatial windows, enhancing information exchange. Experiments on diverse datasets consistently highlight the exceptional performance and efficiency of slTSR. © 2023 ieee.

关键词： Lightweight image super-resolution Localized attention Shift Ladder Transformer

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Comparative Analysis of Thresholding Methods to Facilitate Decision Making over Microscopic Skin image 8

Comparative Analysis of Thresholding Methods to Facilitate D...

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8th international conference on computer Science and Engineering, UBMK 2023

作者： Guler, Recep Senturk, Zehra Karapinar Duzce University Duzce Vocational School Duzce Turkey Duzce University Computer Engineering Dept. Duzce Turkey

ISBN: (纸本)9798350340815

It is a useful technique used in many image processing applications to distinguish objects from the background. In this work, we examine the thresholding techniques that may be applied to make microscopic skin images easier to grasp in terms of collagen intensity, which can disclose the majority of skin illnesses. On the provided data set, 15 global thresholding techniques that are commonly recommended in the literature were looked at and tried. 10 histopathology images stained with Masson's Trichrome were used to build the dataset. The data set was used to evaluate several thresholding techniques, and ME was computed to choose the best one. The experiments revealed that the Otsu and IsoData approaches produced the best outcomes, with a ME value of 0.063 and 0.073 respectively. © 2023 ieee.

关键词： Decision making

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Research and Application of image Recognition Algorithm Based on Deep Learning 5

Research and Application of Image Recognition Algorithm Base...

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2023 5th international conference on Artificial Intelligence and computer applications, ICAICA 2023

作者： Li, Xin Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350323313

The accuracy of image recognition algorithm is greatly reduced in practical applications. To solve this problem, an architecture combining semantic segmentation and image classification is proposed. U-Net network is used to extract and classify image target regions. At the same time, the image classification algorithm based on group convolution and dual attention mechanism is used for hierarchical classification. LabelMe software was used to mark the target of the open data channel, build the image data set for semantic segmentation experiment, and complete the model test. Experimental results show that the semantic segmentation algorithm can well complete the river task extraction, and under the image classification algorithm based on group convolution and dual attention mechanism, it can also effectively classify the pollution level of river surface, and has high model generalization ability, which can provide reference and support for related research and application in practical application. © 2023 ieee.

关键词： Semantic Segmentation

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Research on image Edge Analysis and Application Based on Canny Algorithm

Research on Image Edge Analysis and Application Based on Can...

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image processing and computer applications (icipca), ieee international conference on

作者： Changquan Huang Guoxiang Wu Zhenzhu Wang Sicheng Song College of Artificial Intelligence Yango University Fuzhou Fujian China School of Information Engineering Fujian Business University Fuzhou Fujian China School of Computer Engineering Jiangsu University of Technology Changzhou China

This paper proposes edge contour extraction. Edge detection technology directly affects the contour extraction process. At the same time, the edge contour extraction scheme to eliminate the interference effects such as edge burrs and shadows is studied, and the number and length of edge contours are calculated. This paper analyzes from three problems perspectives: Problem l: Contains three cases. Picl_l: Read the original image through the Soble operator, apply the attenuation factor to the spline interpolation, and use the maximum between-class variance method. Picl_2: The filter performs a “frame filtering” operation on the image to obtain the highlighted map of “various features, ” and then uses the Sobel operator to analyze the image. Picl_3: Binarize the control threshold followed by box filtering, then use the Sobel operator for image edge recognition to get a preliminary image. Finally, the Canny operator is used to obtain the edge contour data. Problem 2: Because the camera imaging process is actually converted from the “world coordinate system” to the “camera coordinate system”, then projected onto the imaging plane and finally converted into the image pixel coordinate system. The original image is distorted due to various factors. Problem 3: First, process the subject data to form an image and generate corner points through MATLAB software. Then, the Canny algorithm is used to circle the sub-pixel edge of the image. Finally, the lengths of contour1 and contour2 are calculated.

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Analyzing video footage from security cameras using the Amped FIVE professional tool specifically for the identification of vehicle license plates 4

Analyzing video footage from security cameras using the Ampe...

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4th international conference on Computing, Networking, Telecommunications and Engineering Sciences applications, CoNTESA 2023

作者： Gvozdanovic, Misel Delija, Damir Tulicic, Domagoj Sirovatka, Goran Zagar, Marinko Bilic, Krunoslav Zagreb University of Applied Science Department of Informatics and Computing Zagreb Croatia University of Applied Sciences in Information Technology Department of Computer Systems and Networks Zagreb Croatia

ISBN: (纸本)9798350382754

This paper describes problems of improving security cameras' video footage for forensic investigation. When processing records, one encounters problems with low resolution, poor lighting, or excessive distance of a key object in an image or video. Using the Amped FIVE Professional tool, forensic scientists create videos and analyze and process the record itself using various filters. Record quality demands a choice of video filters. The use and selection of filters show the improvement of the record itself to the level to which useful information can be obtained in this case of vehicle license plates. The presented roadmap can be used as the base for further video forensic research. © 2023 ieee.

关键词： image enhancement

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JOINT PROBABILITY DISTRIBUTION REGRESSION FOR image CROPPING 30

JOINT PROBABILITY DISTRIBUTION REGRESSION FOR IMAGE CROPPING

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30th ieee international conference on image processing (ICIP)

作者： Shi, Tengfei Chen, Chenglizhao He, Yuanbo Song, Wenfeng Hao, Aimin Beihang Univ Beijing Peoples R China China Univ Petr East China Qingdao Peoples R China Qingdao Res Inst Qingdao Peoples R China Peng Cheng Lab Shenzhen Peoples R China Informat Sci & Technol Univ Beijing Peoples R China

ISBN: (纸本)9781728198354

image cropping aims at locating a candidate (rectangle region) with the highest aesthetic quality in professional photography. One solution of the previous methods is to generate a large number of candidates and then filter them, which leads to low efficiency. Another idea directly regresses the candidate coordinates to speed up but ignores the aesthetic subjectivity of the candidate's evaluation, limiting the model's performance. In this paper, we present an Aesthetic and Composition joint Probability Distribution regression Network (ACPD-Net) to explicitly investigate the process of generating the candidate with a joint probability distribution paradigm to improve the performance of cropping results in an efficient way. The joint probability distribution paradigm between location and size branch can identify the subjective aesthetic region and satisfy the objective composition rules in an end-to-end manner. Our method has been tested on the FCDB and FLMS datasets, which shows the superiority of ACPD-Net. The code is available at https://***/flyingbird93/ACPD-Net.

关键词： image cropping image aesthetics image composition deep learning computer vision

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