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

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Improving Passive 3D Model Reconstruction using image Enhancement 6

Improving Passive 3D Model Reconstruction using Image Enhanc...

引用

6th International conference on Multimedia Computing and systems, ICMCS 2018

作者： Alasal, Sanaa Abu Alsmirat, Mohammad Baker, Qanita Bani Jararweh, Yaser Computer Science Department Jordan University of Science and Technology Jordan

ISBN: (纸本)9781538662205

Recently, 3D model reconstruction becomes a reality. That is because of using many algorithms that are implemented as automated tools and the ability to process dozens of images which might be calibrated or uncalibrated. When dealing with uncalibrated images, more processing time is usually required to perform "self-calibration". When using uncalibrated images, the images are usually not in perfect quality due to the uncalibrated nature of the capturing process. For this reason, this paper aims to study the impact of using image enhancement techniques on the quality of the building process of 3D models. This work mainly focus on the contrast of images. After applying the preprocessing procedures, the image sets where used to build the 3D models using three software kits (COLMAP, VSFM and Agisoft Photoscan). The results show that applying histogram equalization enhances the quality of the generated 3D models. © 2018 IEEE.

关键词： image enhancement

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In-factory calibration of multiocular camera systems

In-factory calibration of multiocular camera systems

引用

conference on Optical Metrology in Production Engineering

作者： Krüger, L Wöhler, C Würz-Wessel, A Stein, F DaimlerChrysler Res & Technol D-89013 Ulm Germany

ISBN: (纸本)081945379X

A complete framework for automatic calibration of camera systems with an arbitrary number of image sensors is presented. This new approach is superior to other methods in that it obtains both the internal and external parameters of camera systems with arbitrary resolutions, focal lengths, pixel sizes, positions and orientations from calibration rigs printed on paper. The only requirement on the placement of the cameras is an overlapping field of view. Although the basic algorithms are suitable for a very wide range of camera models (including OmniView and fish eye lenses) we concentrate on the camera model by Bouguet (http://***/bouguetj/). The most important part of the calibration process is the search for the calibration rig, a checkerboard. Our approach is based on the topological analysis of the corner candidates. It is suitable for a wide range of sensors, including OmniView cameras, which is demonstrated by finding the rig in images of such a camera. The internal calibration of each camera is performed as proposed by Bouguet, although this may be replaced with a different model. The calibration of all cameras into a common coordinate system is an optimization process on the spatial coordinates of the calibration rig. This approach shows significant advantages compared to the method of Bouguet, esp. for cameras with a large field of view. A comparison of our automatic system with the camera calibration toolbox for MATLAB, which contains an implementation of the Bouguet calibration, shows its increased accuracy compared to the manual approach.

关键词： Cameras Calibration Imaging systems Distortion Transform theory image processing Detection and tracking algorithms MATLAB Sensors image sensors

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The Design of Objects Bounding Boxes Non Maximum Suppression and Visualization Module Based on FPGA 23

The Design of Objects Bounding Boxes Non Maximum Suppression...

引用

23rd IEEE International conference on Digital Signal processing (DSP)

作者： Liang, Feng Yang, Shaofei Mai, Tinrui Yang, Yichen Xi An Jiao Tong Univ Sch Microelect Xian Shaanxi Peoples R China

ISBN: (纸本)9781538668122;9781538668115

The objects detection results are marked with bounding boxes in image. There are lots of redundant bounding boxes in detection results. Generally, the non-maximum suppression (NMS) method is used to remove redundant bounding boxes in detection results to improve accuracy of detection. Opencv is usually used to complete visualization of objects bounding boxes. We compare time of NMS and bounding boxes visualization implemented in FPGA and software in server. The results in hardware performs better. Objects detection has high requirements for real-time performance. Parallel computing capabilities of hardware makes it better than software to implement object detection algorithm and related peripheral algorithms in FPGA. FPGA is a good solution for embedded applications of objects detection. In this paper, we build a FPGA based objects detection system on YOLO, which is a kind of object detection algorithm based on deep learning and we complete the design and verification of hack-end processing module in the system, including NMS module to remove redundant objects bounding boxes and bounding boxes visualization module. We make some changes for the NMS algorithm implementation in hardware. Two modules work together to process 100x61 images including 98x20 object bounding boxes. The remaining bounding boxes what we want after removing redundant hounding boxes are used for display, which ultimately takes 680 s.

关键词： objects detection non-maximum suppression FPGA bounding boxes visualization

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image Enhancement Using Surveillance System for Dead Zone 4

Image Enhancement Using Surveillance System for Dead Zone

引用

4th International conference on Communication and Electronics systems, ICCES 2019

作者： Kandoi, Ayushi Hegade, Pradyumna Goel, Utkarsh Reddy Allu, Venkata Harshavardhan Samiappan, Dhanalakshmi Kumar, R. SRM Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9781728112619

This paper presents a surveillance system that is capable of transmitting its geo location and the information from real time images to a central unit in no network zone. The system is further configured for using image processing and machine learning algorithms to deduce any suspicious object from the captured image. Thereby, the system is helpful in identifying threats in all kind of weather conditions on land and in oceans. The system is very efficient, cost effective and is simple in design. Once the threat is identified, the system transmits the information to the central unit through the LoRa by using certain communication protocols. Compared to existing devices, this system has the potential to reduce causalities by enhancing navigational and observational features in the surveillance sector. © 2019 IEEE.

关键词： image enhancement

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Crack Detection on Metal Surfaces Using image processing Techniques 2

Crack Detection on Metal Surfaces Using Image Processing Tec...

引用

2nd Global conference for Advancement in Technology, GCAT 2021

作者： Sonawane, Megharaj Borse, Aditya Sonawane, Hrishikesh Mali, Aashish Rajarapollu, Prachi School of Electrical Engineering Mit Academy of Engineering Pune India

ISBN: (纸本)9780738132150

It is impossible to imagine an industry without a machine. Huge number of machines are working together in industry. Many times if the failure occurs in machine it becomes a challenging task to identify it. Fault may occur due to various reasons. Here the main focus is on identifying the fault occurred due to the fine crack on metal body. Faulty spare parts can be easily identified and can be replaced. But finding a fault due to the crack on metal body is becomes difficult to work out. To find out such type of faults machine disassembling is the only option. Disassembling any machine is not that much easy task and hence a system is developed here which will help in identifying the crack on metal body without disassembling any machine. It is possible to detect the exact size, location of the crack. Digital image processing concepts are used to identify the crack on a metal body. Scanning of metal body will be done to identify the crack on metal body, with the help of scanning mechanism (using ultrasonic, xray, gamma rays Radiography). The image of metal body will get captured which will get inputted to the systems for the processing purpose and by using the different algorithms of image processing, image will get processed. Firstly image will get converted into black and white form and then the digitization of image will be done. Based on the digitized data, using the segmentation process exact identification of crack location, it's length and width of the crack on metal body is detected. © 2021 IEEE.

关键词： Metals

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A novel image content protection method

A novel image content protection method

引用

Proceedings of 2004 International conference on Machine Learning and Cybernetics

作者： xia, xiao-Qing Feng, Wei Zhao, Rong-Chun Dept. of Comp. Sci. and Engineering Northwestern Polytechnic Univ. Xi'an 710072 China

ISBN: (纸本)0780384032

A novel image content protection (ICP) method is proposed in this paper. To satisfy the fundamental requirement for ICP, i.e. being robust to non-content operations and sensitive to content tampers simultaneously, a pixel-level image content map (PICM) is extracted by dynamic weighted averaging. Then, a regional image content map (RICM) is derived through segmentation of PICM and its invariant moments are converted to watermarking bit stream that is embedded in the source image robustly to achieve protection of the content. Various experiments show that the hierarchical content representation, i.e. P-RICM, and its invariant moments have excellent performance in ICP, and our method meets the fundamental criterion well.

关键词： image processing

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A dynamic SIMD/MIMD mode switching processor for embedded real-time image recognition systems

A dynamic SIMD/MIMD mode switching processor for embedded re...

引用

7th IEEE Asian Solid-State Circuits conference, A-SSCC 2011

作者： Nomoto, Shohei Kyo, Shorin Okazaki, Shinichiro Advanced LSI Systems Research LSI Research Laboratory Renesas Electronics Corporation 1753 Shimonumabe Nakahara-Ku Kawasaki Kanagawa 211-8668 Japan

ISBN: (纸本)9781467303989

This paper describes the design and LSI implementation of a dynamic SIMD/MIMD mode switching processor core (the XC core) for embedded real-time image recognition systems. The XC core supports both a highly parallel SIMD and a medium parallel MIMD architecture, which are suitable for exploiting the large amount of data-level and task-level parallelisms respectively that exist in most image recognition algorithms. Each PE of the SIMD is extended to support a low cost 6-way VLIW data-path and uses an efficient autonomous inter-PE data transfer, to improve the SIMD performance. By employing a hardware resource reuse strategy whereby four PEs of the SIMD are reconfigured into one PU (processing Unit) of the MIMD, the hardware overhead for supporting both modes is reduced to merely 15% of the area increase compared with either a SIMD only or MIMD only design. LSI implementation of the 32 PE or 8 PU XC core resulted in a die size of 7.7mm2 in 55nm CMOS process and achieved a peak performance of 42.5GOPS, while dissipating 421mW at 133MHz and 1.2V. Compared with an existing SIMD only design, the normalized PE performance for processing regular SIMD image tasks was improved by a factor of 4, the while performance for processing irregular MIMD image tasks has been improved by a factor of 14. © 2011 IEEE.

关键词： image enhancement

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An Optimized FPGA Implementation of DCT Architecture for image and Video processing Applications

An Optimized FPGA Implementation of DCT Architecture for Ima...

引用

4th IEEE International conference on Wireless Communications Signal processing and Networking (WiSPNET) - Advancing Wireless and Mobile Communications Technologies for 2020 Information Society

作者： Pari, J. Britto Vaithiyanathan, D. Sri Sairam Engn Coll Dept Elect & Commun Engn Chennai Tamil Nadu India Natl Inst Technol Dept Elect & Commun Engn Delhi India

ISBN: (数字)9781538692790

ISBN: (纸本)9781538692790

The development of portable devices such as digital cameras and mobile phones led to higher amount of research being dedicated to image and video processing systems. In particular, video processing coding technique such as High Efficiency Video Coding (HEVC) requires low power consumption for the multimedia applications, this leads to extensive development in low area and high speed algorithms. The log time Discrete Cosine Transform (DCT) is increasingly employed for compression standards, since it has remarkable energy compaction properties. Pipelined and MAC based DCT have been implemented in digital hardware to offer better compression at very low circuit complexity. In this paper, a Time division multiplexing (TDM) based DCT architecture is implemented using the concept of resource sharing principle which possess low computational complexity and high speed. This hardware implementation results in reduced area and increased speed compared to the conventional DCT architectures implemented in Field Programmable Gate Array (FPGA) devices.

关键词： Discrete Cosine Transform Video coding Pipelined MAC Time Division Multiplexing Field Programmable Gate Array

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Single-frame image denoising and inpainting using Gaussian mixtures 4

Single-frame image denoising and inpainting using Gaussian m...

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4th International conference on Pattern Recognition Applications and Methods, ICPRAM 2015

作者： Teodoro, Afonso M.A.M. Almeida, Mariana S.C. Figueiredo, Mário A.T. Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Priberam Labs Lisboa Portugal Instituto de Telecomunicações Lisboa Portugal

ISBN: (纸本)9789897580772

This paper proposes a patch-based method to address two of the core problems in image processing: denoising and inpainting. The approach is based on a Gaussian mixture model estimated exclusively from the observed image via the expectation-maximization algorithm, based on which the minimum mean squared error estimate is computed in closed form. The results show that this simple method is able to perform on the same level as other state-of-the-art algorithms.

关键词： image denoising

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Mac-Cormack's Scheme for Shock Filtering Equation in image Enhancement 1

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8th Computer Science On-Line conference (CSOC)

作者： Gunawan, P. H. Gumilar, Agung F. Telkom Univ Sch Comp Jl Telekomunikasi 1 Terusan Buah Batu Bandung 40257 Indonesia

ISBN: (数字)9783030198077

ISBN: (纸本)9783030198077;9783030198060

Mac-Cormack's scheme is elaborated to approximate the solution of shock filtering equation in image enhancement. This scheme is in second order approximation of spatial and time variables. Here, the comparison results of upwind and Mac-Cormack's scheme are given. The results show that Mac-Cormack's scheme is able to preserve the edge discontinuity. For evaluating the performance of numerical results, the discrete L-2 norm error for both numerical schemes is given. From several experiments, along the increasing of image sizes, the error of Mac-Cormack's scheme is observed getting smaller. For instance, using image sizes (64,64) the error is obtained 0.13762, meanwhile using (512,512) the error is observed 0.06640.

关键词： Mac-Cormack's Shock filtering Enhancement image processing

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