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检索条件"任意字段=2nd International Conference on Computer Vision and Image Processing, CVIP 2017"

共 1800 条记录，以下是31-40 订阅

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Review on Generative Adversarial Network in computer vision: Methods and Metrics 2

Review on Generative Adversarial Network in Computer Vision:...

引用

2nd international conference on Big Data and Artificial Intelligence and Software Engineering (ICBASE)

作者： Bao, Shuai Southwest Jiaotong Univ Chengdu Sichuan Peoples R China

ISBN: (纸本)9781665427098

Generate adversarial networks (GAN) is a popular method, which can be widely used in numerous research areas, such as computer vision, natural language processing, and time series synthesis. However, few references are proposed to give a comprehensive review on GAN based methods. This paper aims to provide a detailed review of GAN based algorithms on computer vision tasks, such as image style transfer, image/video generation, image matting, and image super-resolution. Furthermore, we conclude the evaluation metrics for those tasks to show the effectiveness of GAN based on method. Our review can help beginners recognize the GAN based methods and give a brief introduction on how to apply them to their tasks.

关键词： GAN image style transfer image matting image generation Video generation image super-resolution

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Robot Football RGB and the Combination of HIS Adaptive Threshold Method

Robot Football RGB and the Combination of HIS Adaptive Thres...

引用

2nd international conference on computer Science and Network Technology (ICCSNT)

作者： Liu, Wanming Wang, Lihua Tian, Wenying Profess Tech Inst Hebei Normal Shijiazhuang Peoples R China

ISBN: (纸本)9781467329644;9781467329637

This paper introduces the principle of vision subsystem design, image processing technology of the target identification, binary image are introduced, according to the original soccer robot vision subsystem existing error identification, missing target of these problems, advances some modification. Using zoning thought RGB and HIS combination of color image segmentation algorithm to identify and missing target by mistake. This paper puts forward in maintaining a basic without changing its hardware, improve its digital image processing software design solutions, and program design and commissioning.

关键词： Robot football Target identification Binary image formatting

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computer Simulations of Imaging Astronomical Objects through Kolmogorov Turbulence 2

Computer Simulations of Imaging Astronomical Objects through...

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2nd international conference on image, vision and Computing (ICIVC)

作者： Mohammed, A. T. Univ Baghdad Dept Astron Baghdad Iraq

ISBN: (纸本)9781509062386

Two-dimensional mathematical modeling and simulations are carried out to observe a reference and a binary star in the absence and presence of a Kolmogorov turbulence via ground-based optical telescopes. This involve the quantitative assessment of the modulation transfer function (MTF) of a reference star, the Fourier magnitude (FM) and the autocorrelation function (AUT) of a binary star. As a result of this assessment a second degree polynomial equation is introduced to describe the average MTF of a reference star and the average FM of an image of a binary star that observed by different telescope diameters. The results also indicate that the height of the secondary peaks of the A UT remain constant despite of the strength of atmospheric turbulence and the diameter of the telescope while the width of these peaks change significantly.

关键词： mathematical modeling fourier optics imaging system

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Deep convolutional neural network for person re-identification: A comprehensive review 2nd

Deep convolutional neural network for person re-identificati...

引用

2nd international conference on computer vision and image processing, cvip 2017

作者： Chahar, Harendra Nain, Neeta Department of Computer Science and Engineering Malaviya National Institute of Technology Jaipur India

ISBN: (纸本)9789811078941

In video surveillance, person re-identification (re-id) is a popular technique to automatically finding whether a person has been already seen in a group of cameras. In the recent years, availability of large-scale datasets, the deep learning-based approaches have made significant improvement in the accuracy over the years as compared to hand-crafted approaches. In this paper, we have distinguished the person re-id approaches into two categories, i.e., image-based and video-based approaches;deep learning approaches are reviewed in both categories. This paper contains the brief survey of deep learning approaches on both image and video person re-id datasets. We have also presented the current ongoing works, issues, and future directions in large-scale datasets. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Deep neural networks

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Parallel Implementation of RSA 2D-DCT Steganography and Chaotic 2D-DCT Steganography

Parallel Implementation of RSA 2D-DCT Steganography and Chao...

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1st international conference on computer vision and image processing (cvip)

作者： Savithri, G. Vinupriya Mane, Sayali Banu, J. Saira VIT Univ SCSE Vellore Tamil Nadu India

ISBN: (纸本)9789811021046;9789811021039

Information security has been one of the major concerns in the field of communication today. Steganography is one of the ways used for secure communication, where people cannot feel the existence of the secret information. The need for parallelizing an algorithm increases, as any good algorithm becomes a failure if the computation time taken by it is large. In this paper two parallel algorithms-parallel RSA (Rivest Shamir Adleman) cryptosystem with 2D-DCT (Discrete Cosine Transformation) steganography and parallel chaotic 2D-DCT steganography-have been proposed. The performance of both algorithms for larger images is determined and chaotic steganography is proved to be an efficient algorithm for larger messages. The parallelized version also proves to have reduced processing time than serial version with the speed-up ratios of 1.6 and 3.18.

关键词： Chaos Communication Encryption Frequency domain Information Security RSA Steganography

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An Improved image Segmentation Algorithm Based on Boltzmann Theory and Its Parallel Computing Realization

An Improved Image Segmentation Algorithm Based on Boltzmann ...

引用

2nd IEEE international conference on Advanced computer Control

作者： Qing, Liu Jian, Zhuang Sun'an, Wang Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Peoples R China

ISBN: (纸本)9781424458479

This paper deals with the improvement of free energy computing in segmentation algorithm according to the analysis of image Segmentation Algorithm Based on Boltzmann Theory (ISABT) and a new one is proposed. It is proved by comparative experiments that performance indexes of the new algorithm are considerably improved. The parallel processing method of the algorithm which is applied to multiprocessors is presented for solving the real-time problem, and then its feasibility is verified by experiments. The experiment shows that the improved ISABT with rapid parallel image processing greatly enhances the speed of segmentation with its segmentation effect assured. Compared with the original algorithm, the new one may reach a speed of 20ms/F for 480x320 image on the processing platform including eight pieces of TMS320DM642, and it basically meets the real-time requirement for robot visual processing.

关键词： image enhancement Boltzmann theory DSP parallel computing robot vision

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Stratification - Based Super - Resolution Algorithm for Document processing 2

Stratification - Based Super - Resolution Algorithm for Docu...

引用

2nd international conference on image, vision and Computing (ICIVC)

作者： Yu, Xiang Luo, Yupin Tsinghua Univ Dept Automat Beijing Peoples R China

ISBN: (纸本)9781509062386

This paper presents a super-resolution algorithm specifically aimed at the document processing. There are some particular characteristics in document image, such as step edge, fixed pattern etc. And in the practical application scenarios, such as scanner optimization, electronic books and so on, all of them propose a real-time requirement to the algorithm. For these scenarios, the existing interpolation-based and learning-based super-resolution methods have their limitations. Based on the idea of stratification, this paper proposes the application of guided filter in document matting, and divides the image with this approach into three layers: foreground color, background color and text edge. Interpolated algorithm are used for foreground and background parts to maintain their smoothness and high fidelity of color. For the key structure information contained in the edge layer, the super-resolution reconstruction is performed using the training-based algorithm. The algorithm has the characteristics of color fidelity, edge preserving, clear structure, and efficient training, which can meet the application requirements of document processing well. This paper provides a detailed description of the algorithm, and at the same time provides sufficient comparison and quantification experiments to demonstrate the effectiveness of the algorithm.

关键词： document image stratification guided filter example-based real-time

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Melanoma Skin Cancer Detection from Dermoscopic images using computer vision 2

Melanoma Skin Cancer Detection from Dermoscopic Images using...

引用

2nd international conference on image processing and Robotics (ICIPRob)

作者： Jayatilake, S. M. D. A. C. Ganegoda, G. U. Univ Moratuwa Fac Informat Technol Moratuwa Sri Lanka

ISBN: (纸本)9781665407717

Skin cancer is a form of cancer that is most common among Caucasians and is rapidly increasing year by year. Melanoma is the most dangerous type of skin cancer making it the world's 17th most common cancer type which is 1.8% of all cancer patients globally. It is vital to detect Melanoma at its early stages to cure the patient without letting the cancer grow further. The proposed solution is to develop a system that can detect Melanoma by analysing the dermoscopic images while extracting Asymmetry, Border Irregularity, Colour, Diameter (ABCD) features and other salient dermoscopic features which are more often visible in Melanoma skin lesions. Different classification methods are also being evaluated to identify which classifier works best with the dermoscopic features extracted in the feature extraction stage so that the highest accuracy could be obtained when diagnosing Melanoma. Therefore, when a dermoscopic image is given to this proposed system it will output whether the patient is diagnosed with Melanoma along with the confidence level of the diagnosis result at which the model performed the diagnosis based on the various dermoscopic features extracted from the lesion.

关键词： Melanoma computer vision Pre-processing Feature Extraction Classification

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Efficient Real-time Single image Dehazing Based on Color Cube Constraint 2

Efficient Real-time Single Image Dehazing Based on Color Cub...

引用

2nd IEEE international conference on Signal and image processing (ICSIP)

作者： Kponou, Elisee A. Wang, Zhengning Wei, Ping Univ Elect Sci & Technol China Sch Elect Engn Chengdu Sichuan Peoples R China

ISBN: (纸本)9781538609699

image degraded by haze is a critical aspect in today's environment while getting a high-quality haze-free image remains an important task in computer vision. In recent year, many works have been done to improve the visibility of image taken under bad weather. Conventional designs use multiple image and/or single image to deal with haze removal. In this paper, we use a simple but effective prior, a variation of distance (VoD) prior, to estimate the transmission map and remove haze from a single input image. The VoD prior is developed based on the idea that the outdoor visibility of images taken under hazy weather conditions seriously reduced when the distance increases. The thickness of the haze can be estimated effectively and a haze-free image can be recovered by adopting the VoD prior and the new haze imaging model. Our method is stable to image local regions containing objects in different depths. Our experiments showed that the proposed method achieved better results than several state-of-the-art methods, and it can be implemented very quickly. Our method due to its fast speed and the good visual effect is suitable for real-time applications. This work confirms that estimating the transmission map using the distance information instead the color information is a crucial point in image enhancement and especially single image haze removal.

关键词： real-time single image dehazing poor visibility color cube transmission

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Research on the Construction of image processing Model Based on computer vision Algorithm 2

Research on the Construction of Image Processing Model Based...

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2nd IEEE international conference on Control, Electronics and computer Technology, ICCECT 2024

作者： Yi, Wang School of Law Shandong University of Technology Economic Law Shandong Zibo255000 China

ISBN: (纸本)9798350380958

This research focuses on constructing an efficient image processing model, which is rooted in computer vision algorithms, to ameliorate image distortion and optimize visual display systems. The article initially discusses the significance of image distortion correction and its processing flow, encompassing detailed steps ranging from image preprocessing, model construction, parameter estimation, to pixel coordinate transformation. Furthermore, the design approach of computer vision display systems is explored, covering the theory of light field reconstruction, software and hardware design essentials, ensuring high fidelity in image presentation. Through multiple experiments conducted on datasets of distorted images, the effectiveness of the model in correcting distortion and enhancing image quality is empirically demonstrated, with the experimental results strongly supporting the feasibility and superiority of the model. This research holds positive implications for advancements and practical applications in the field of image processing. © 2024 IEEE.

关键词： image enhancement

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