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检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

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HDR image Synthesis Based on Multi-exposure Color images

HDR Image Synthesis Based on Multi-exposure Color Images

引用

2011 3rd international Asia conference on Informatics in Control, Automation and Robotics (CAR 2011 LNEE 132)

作者： Hua Wang Jianzhong Cao Linao Tang Yao Tang Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences

In digital camera, it's difficult to exceed the dynamic range of 60～80d B because of the saturation current and background noise of CCD/CMOS image sensor in a single exposure image. In order to obtain more information and detail of a scene, we should extend its dynamic range, which was called HDR technology. Recent years, HDR imaging techniques have become the focus of much research because of their high theoretical and practical importance. By applying HDR techniques, the performance of different image processing and computer vision algorithms, information enhancement, and object and pattern recognition can also be improved. In this paper, a new tone reproduction algorithm is introduced, based on which may help to develop the hard-to-view or nonviewable features and details of color images. This method applies on multi-exposure images synthesis technique, where the red, green, and blue(RGB) color components of the pixels are separately handled. In the output, the corresponding(modified) color components are blended. As a result, a high quality HDR image is obtained, which contains almost the whole details and color information.

关键词： color image processing,high dynamic range(HDR) image,image enhancement,multi-exposure images synthesize

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Binocular Stereo vision based Indoor Scene Perception

Binocular Stereo Vision based Indoor Scene Perception

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2011 3rd international conference on computer Research and Development(ICCrd 2011)

作者： Hong Liu and Jiexin Pu Electronic&Information Engineering College Henan University of Science and Technology Luoyang,China Qinghua Zhang Luoyang Sunray Technology Co.,Ltd.Luoyang,China

Scene perception aims to build a semantic context for various tasks of visual processing,especially for object *** vision system is now widely equipped with mobile intelligent robots,however,monocular images are currently mostly used for scene perception task One can obtain lower classification performance by using features extracted from monocular image as the complexity of natural scene In this paper a binocular stereo vision based approach for scene perception is developed.A feature descriptor of indoor scene is proposed,that is a vector extracted from planes fitting parameters in several specified *** step,scene is classified as empty space and close space classes using feature extracted from disparity map with nearest neighbor *** following step,both empty space and close space scene are classified into some subclasses using Gist and proposed feature *** test our approach we created a dataset of 4 indoor scenes *** experiments show that our approach got excellent classification performance.

关键词： binocular stereo vision indoor scene Gist classification

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vision Mesh: A Novel Video Sensor Networks Platform for Water Conservancy Engineering

Vision Mesh: A Novel Video Sensor Networks Platform for Wate...

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3rd IEEE international conference on computer Science and Information Technology (ICCSIT)

作者： Zhang, Meiyan Cai, Wenyu Zhejiang Water Conservancy & Hydropower Coll Dept Elect Engn Hangzhou 310018 Zhejiang Peoples R China Hangzhou Dianzi Univ Sch Elect & Informat Hangzhou 310018 Zhejiang Peoples R China

ISBN: (纸本)9781424455379

Video is an important medium for the observation of a variety of phenomena in the physical world such as for water conservancy engineering. Video sensor networks (VSN) consists of a large number of sensor nodes with cheap CMOS cameras, therefore, it has the ability of large scale visual monitoring. However, a kind of powerful and scalable platform is urgent for simulation and development of VSN. This paper proposed a novel and scalable video sensor networks platform named as vision Mesh for water conservancy engineering. vision Mesh is composed of a mass of image or video sensor nodes - vision Motes, with which multi-view image or video information of FOV (Field of View) can be acquired simply. vision Mote is built with Atmel ARM9 CPU and operated on Linux operating system, with TI CC2430 Zigbee module taken as wireless transceiver. Furthermore, OpenCV machine vision lib is migrated to vision Mesh platform so as to improve video processing ability, therefore, vision Mesh has the ability of image and video processing and is of strong scalability to extend performance. In this paper, we provide an overview of vision Mesh architecture and provide an insightful platform for VSN.

关键词： Video sensor networks CMOS camera vision Mesh vision Mote Water Conservancy Engineering

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Real-time vehicle license plate recognition on road images from various cameras

Real-time vehicle license plate recognition on road images f...

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2010 3rd international conference on Human-Centric Computing, HumanCom 2010

作者： Chang, Jae-Khun School of Computer Engineering Hanshin University Osan City Korea Republic of

ISBN: (纸本)9781424475704

The information of vehicle is very important for maintaining traffic order under the present complex traffic environments. The image of vehicle is captured in various ways;fixed camera, movable camera, and vehicle-loaded camera. This paper proposes a new vehicle plate recognition mechanism that is essential to know the information of vehicle. The proposed method is a real-time processing system using multi-step image processing and recognition process from 2D and 3D images. The experimental results of real environmental image and recognition using the proposed method are shown. © 2010 IEEE.

关键词： computer vision

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Hardware acceleration of BLOB detection for image processing

Hardware acceleration of BLOB detection for image processing

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3rd international conference on Advances in Circuits, Electronics and Micro-Electronics, CENICS 2010

作者： Bochem, Alexander Herpers, Rainer Kent, Kenneth B. Faculty of Computer Science University of Applied Sciences Bonn-Rhein-Sieg Sankt Augustin Germany Faculty of Computer Science University of New Brunswick Fredericton Canada

ISBN: (纸本)9780769540894

This paper presents the implementation and evaluation of a computer vision task on a Field Programmable Gate Array (FPGA). As an experimental approach for an application-specific image-processing problem, it provides results about gained performance and precision compared with similar solutions on General Purpose Processor (GPP) architectures. The problem of detecting Binary Large OBjects (BLOBs) in a continuous video stream and computation of their center points has been addressed. Most existing solutions are realized on GPP platforms, where resolution of image material and sequential processing define the performance barrier. FPGA based approaches perform implemented algorithms as fast as hardware circuits and in addition offer parallelization abilities. The evaluation compares precision and performance gain against similar approaches on GPP platforms. The paper discusses different concepts for BLOB detection and shows the implementation of one common method for BLOB detection, including design problems and performance evaluation. © 2010 IEEE.

关键词： Object detection

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A multicolored vision-based gesture interaction system

A multicolored vision-based gesture interaction system

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2010 3rd international conference on Advanced computer Theory and Engineering, ICACTE 2010

作者： Liu, Ying Tang, Lei Song, Ke Wang, Suihe Lin, Jiangli College of Materials Science and Engineering Sichuan University Chengdu China School of Electrical Engineering and Information Sichuan University Chengdu China

ISBN: (纸本)9781424465408

In this paper, we present a novel method for human-computer interaction based on finger motion detection. image processing is used to get the position, motion direction and movement of the marked figure in the video image, and then associate them with the cursor position, motion direction and mouse function using windows underlying functions. Experimental results show that the method can accurately obtain the characteristic quantities of the marked figure, and actualize cursor movement and mouse clicking. It can be widely used in many fields such as teaching, gaming and computer remote controlling. © 2010 IEEE.

关键词： Human computer interaction

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Performance evaluation of feature detection in using subsampled images for image stitching

Performance evaluation of feature detection in using subsamp...

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international conference on computer Science and Information Technology (CSIT)

作者： Wai, Chong Chia Li-Minn, Ang Kah, Phooi Seng Department of Electrical and Electronic Engineering University of Nottingham Malaysia Campus Jalan Broga 43500 Semenyih Selangor Malaysia

ISBN: (纸本)9781424455386

image stitching is a technique being used to stitch multiple images together to form a stitched image with higher resolution and larger field of view. It has been adopted in many research areas such as computer vision and medical applications. The first step in stitching is to first determine the overlap region or similarity. This can be done using feature extraction, follow by comparing the feature points in the images. Once the similarity is determined, the images are transformed into the same coordinate system that agreed by each other. Finally, the images can be pasted together. In this paper, the performance of various type of feature detector in extracting feature points from the subsampled version of the original images will be evaluated. The advantage of using the subsampled images is to reduce the memory requirement, and processing time. © 2010 IEEE.

关键词： Feature extraction

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An optimized region-based color transfer method for night vision application

An optimized region-based color transfer method for night vi...

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3rd IEEE international conference on Signal and image processing, ICSIP 2010

作者： Zaveri, Tanish Zaveri, Mukesh Makwana, Ishit Mehta, Harshit Department of Electronics and Communication Engg. Institute of Technology Nirma University S. G. Highway Ahmedabad Gujarat India Department of Computer Engineering Sardar Vallabhbhai National Institute of Technology Surat Surat Gujarat India

ISBN: (纸本)9781424485949

Modern night-vision systems like image intensifiers and thermal cameras enable operations at night and in adverse weather conditions. Modern night vision camera provides false-colored fused image as an output which is unnatural in appearance and it is therefore hard to interpret. In this paper, a region-based natural color mapping method for night vision imagery is presented. The proposed method colorizes the night vision imagery by using a combined framework consisting of hill-climbing algorithm for color-based segmentation, non-linear diffusion, region recognition and fuzzy based image fusion techniques. The proposed method is an optimized region-based approach and allows selective color transfer from the natural target color image. The simulation results show that the color fused image obtained by proposed method resembles the natural color appearance and will help the observer by making it more recognizable appearance for better scene interpretation. ©2010 IEEE.

关键词： Color

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Auto classification of skin symptom based on Mahalanobis distance

Auto classification of skin symptom based on Mahalanobis dis...

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2010 3rd international conference on Advanced computer Theory and Engineering, ICACTE 2010

作者： Ji, Huijie Xu, Meihua Ran, Feng School of Mechatronical Engineering and Automation Shanghai University Shanghai China Key Laboratory of Advanced Displays and System Application Ministry of Education Shanghai University China

ISBN: (纸本)9781424465408

A scheme for auto classification of skin symptom is introduced in this paper. It classifies different skin symptoms based on the principle of least Mahalanobis distance. Skin images with symptom to be identified will be preprocessed at first. Basic operations of preprocessing includes color space transformation, image segmentation based on threshold by self-adapting method, image post-processing by mathematical morphology, edge detection, contour tracing, seed filling and so on. After that, twenty-six characteristic parameters are extracted from symptom areas of the processed image. Calculate the distance between these parameters and the preset parameters of standard symptoms (chloasma, comedo, blackhead and ephelis), and we can classify the symptoms to certain category in accordance with their Mahalanobis distance in terms of the least difference principle. © 2010 IEEE.

关键词： computer vision

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An operation speed enhancement in a multi-frame super resolution algorithm using a CUDA method

An operation speed enhancement in a multi-frame super resolu...

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2010 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2010

作者： Kim, Mijeong Kim, Yunhyung 3rd R and D Institute - 1 Agency for Defense Development Daejeon Korea Republic of ISR R and D Center LIG Nex1 Co. Yongin Gyeonggi-do Korea Republic of

ISBN: (纸本)9781601321541

Although multi-frame super resolution algorithm has many merits but it demands too much calculation time. Researches have shown that image processing time can be reduced using a CUDA. In this paper we show that the processing time of multi-frame super resolution algorithm can be reduced by employing the CUDA which is a kind of GPGPU techniques. It was applied not to the whole parts but to the largest time consuming parts of the program. The simulation result shows that using a CUDA can reduce an operation time dramatically. Therefore it can be possible that multi-frame super resolution algorithm is implemented in real time by using libraries of image processing algorithms which are made by using CUDA.

关键词： image processing

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