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

共 1803 条记录，以下是331-340 订阅

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Hybrid Design of Real-Time image processing Techniques for Multiple Biomedical Applications

Hybrid Design of Real-Time Image Processing Techniques for M...

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2nd international conference on Recent Advancement in computer, Communication and Computational Sciences (RACCCS)

作者： Paul, Ria Shandilya, Rahul Sharma, R. K. Natl Inst Technol Kurukshetra Sch VLSI Design & Embedded Syst Kurukshetra Haryana India

ISBN: (纸本)9789811073861;9789811073854

The computer vision has become an indispensable part in the fields of biomedical application and laboratory research in which images are processed and analyzed. In this article, we have presented a non-invasive real-time biomedical image processing design. The aim of the current research is to propose a hybrid design by using techniques such as watershed, Eulerian Video Magnification and morphological filters for multiple biomedical applications like detection of brain tumor, lung cancer, gallbladder stone, cataract, and measurement of pulse rate and its implementation using MATLAB. The proposed design can process different category of images and manipulate them to visualize and understand the defects clearly that is not visible to the human eyes.

关键词： Biomedical image processing Watershed Eulerian Video Magnification Non-invasive

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A METHOD OF TOMATO image SEGMENTATION BASED ON MUTUAL INFORMATION And THRESHOLD ITERATION 2nd

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2nd IFIP international conference on computer and Computing Technologies in Agriculture

作者： Wu, Hongxia Li, Mingxi Huangshi Inst Technol Editorial Dept Journal Huangshi 430003 Hubei Province Peoples R China Huangshi Inst Technol Huangshi 435003 Hubei Province Peoples R China

ISBN: (纸本)9781441902108

Threshold Segmentation is a kind of important image segmentation method and one of the important preconditioning steps of image detection and recognition, and it has very broad application during the research scopes of the computer vision. According to the internal relation between segment image and original image, a tomato image automatic optimization segmentation method (MI-OPT) which mutual information associate with optimum threshold iteration was presented. Simulation results show that this method has a better image segmentation effect on the tomato images of mature period and little background color difference or different color.

关键词： image segmentation mutual information threshold optimization tomato image

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Towards objective quality assessment of image registration results

Towards objective quality assessment of image registration r...

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2nd international conference on computer vision Theory and Applications, VISAPP 2007

作者： Möller, Birgit Garcia, Rafael Posch, Stefan Department of Electronics Informatics and Automation University of Girona Campus Montilivi Girona 17003 Spain Institute of Computer Science Martin-Luther-University Halle-Wittenberg Von-Seckendorff-Platz 1 06099 Halle/Saale Germany

Geometric registration of visual images is a fundamental intermediate processing step in a wide variety of computer vision applications that deal with image sequence analysis. 2D motion recovery and mosaicing, 3D scene reconstruction and also motion detection approaches strongly rely on accurate registration results. However, automatically assessing the overall quality of a registration is a challenging task. In particular, optimization criteria used in registration are not necessarily closely linked to the final quality of the result and often show a lack of local sensitivity. In this paper we present a new approach for an objective quality metric in 2D image registration. The proposed method is based on local structure analysis and facilitates voting-techniques for error pooling, leading to an objective measure that correlates well with the visual appearance of registered images. Since observed differences are furthermore classified in more detail according to various underlying error sources, the new measure not only yields a suitable base for objective quality assessment, but also opens perspectives towards an automatic and optimally adjusted correction of errors.

关键词： image registration

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An experimental evaluation of different face recognition algorithms using closed circuit television images 2

An experimental evaluation of different face recognition alg...

引用

2nd IEEE international conference on Signal and image processing, ICSIP 2017

作者： Fahad, Shahzada Ur Rahman, Sami Khan, Imran Haq, Sanaul Department of Computer Science and Information Technology University of Malakand Khyber Pakhtunkhwa Pakistan

ISBN: (纸本)9781538609682

Bio-metric based recognition is rapidly replacing the non-biometric based recognition systems. Face recognition is one of the most important bio-metric based recognition technique. Different algorithms exist for face recognition that works well on high resolution digital images. The aim of this work is to check whether these existing face recognition algorithms work on low quality Closed Circuit Television images? We have considered three such algorithms. These algorithms are Artificial Neural Network, Principal Component Analysis and Single Value Decomposition. We have experimentally evaluated these for Closed Circuit Television images. Our experiments show that using the CCTV images the accuracy rate of ANN for face recognition is 85%, for PCA the accuracy rate is 75% and for SVD the accuracy rate is 65%. The experiments also show that the accuracy of all the three algorithms reduces when the number of input faces increases. © 2017 IEEE.

关键词： Face recognition

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Hybrid broadcasting scheme combining FB+ and DeRe schemes for heterogeneous receivers 2

Hybrid broadcasting scheme combining FB+ and DeRe schemes fo...

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2nd international conference on Multimedia and image processing, ICMIP 2017

作者： Xiao, Linghao Wang, Xingjun Zhong, Zhanwei Department of Electronic Engineering Graduate School at Shenzhen Tsinghua University Shenzhen China Department of Electrical and Computer Engineering Duke University Durham United States

ISBN: (纸本)9781509059546

The most efficient way to solve large scale videostreaming problem is periodic broadcasting for popular *** studies mainly focus on reducing client's waiting timeand buffer demand. Later, researchers focused on the problemof heterogeneity among clients' reception *** can be categorized in two types: ReceptionBandwidth Adaptable (RBA) approach and ReceptionBandwidth Limited (RBL) approach. Both approaches havetheir pros and cons and a recently proposed DeRe scheme hassuccessfully kept the advantages of both approaches *** this paper, we propose a Hybrid Broadcasting (HyB)scheme which combines FB+ structure and DeRe schemetogether. The proposed scheme not only maintains goodperformance as DeRe scheme in service latency and bufferrequirement, but also overcome the drawbacks of DeRescheme such as large number of video segments to manage andfrequent channel hopping in client's reception path. HyBscheme is also buffer controllable by adjusting the bufferdemand of its DeRe scheme part. © 2017 IEEE.

关键词： Video on demand

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Oracle Bone Script Similiar Character Screening Approach Based on Simsiam Contrastive Learning and Supervised Learning 2

Oracle Bone Script Similiar Character Screening Approach Bas...

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2nd international conference on Algorithm, image processing and Machine vision, AIPMV 2024

作者： Weng, Xinying Li, Yifan Hao, Shuaidong Hou, Jialiang College of Computer and Information Engineering Henan Normal University Henan Xinxiang China

ISBN: (纸本)9798350390254

This project proposes a new method that uses fuzzy comprehensive evaluation method to integrate ResN et-50 self- supervised and Rep Vggsupervised learning. The source image dataset HWOBC oracle is taken as input, the target image is selected, and finally the most similar image is output in turn without any manual intervention. The same feature encoding method is not used for images of different modalities. Before the model training, the image data is preprocessed, and the image is enhanced by random rotation processing, self-square graph equalization theory algorithm, and gamma transform, which effectively enhances the key feature learning. Finally, the fuzzy comprehensive evaluation method is used to combine the results of supervised training and unsupervised training, which can better solve the 'most similar' problem that is difficult to quantify. At present, there are many unknown oracle-bone inscriptions waiting for us to crack. Contacting with the glyphs can provide new ideas for cracking. © 2024 IEEE.

关键词： Contrastive Learning

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IR sensing embedded system development for prototype mobile platform for autonomous convoy 2

IR sensing embedded system development for prototype mobile ...

引用

2nd IEEE international conference on Signal and image processing, ICSIP 2017

作者： Bryan Riley, H. Celenk, Mehmet School of Electrical Engineering and Computer Science Stocker Center Ohio University AthensOH45701 United States

ISBN: (纸本)9781538609682

Sensing techniques using varied configurations of infrared (IR) devices are rapidly becoming a proven approach for autonomous vehicles. In this paper, we present an investigation and corresponding results of embedding these sensors in a prototype robotic model and examine its performance. The results support IR sensing as a viable alternative to a RADAR based system for object detection and travel in a forward path direction. Proportional Integral (PI) control is implemented due to its simplicity and effectiveness in Python programming language on the Raspberry Pi microcomputer. In this research, we model the operational characteristics of IR sensors in accordance with the physical principal that the measured distance is inversely proportional to the IR sensor voltage output. This provides a device independent robust sensing methodology as demonstrated in the experimental section of the undertaken research. As a result, the proposed approach is expected to enable major manufacturers and corporations to have fully autonomous passenger cars and trucks on roads in the USA by 2021. [1] © 2017 IEEE.

关键词： Autonomous vehicles

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Removing Rain from Single image Based on Details Preservation and Background Enhancement 2

Removing Rain from Single Image Based on Details Preservatio...

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2nd IEEE international conference on Information Communication and Signal processing (ICICSP)

作者： Liu, Jiacheng Teng, Shenghua Li, Zuoyong Shandong Univ Sci & Technol Coll Elect & Informat Engn Qingdao Peoples R China Minjiang Univ Fujian Prov Key Lab Informat Proc & Intelligent C Fuzhou Peoples R China

ISBN: (纸本)9781728151021

Life is often accompanied by the bad weather. In the rainy days, the quality of images and videos acquired will be greatly degraded, affecting human observation and target detection and recognition in computer vision systems. In this paper, a single image rain removal algorithm is proposed based on details preservation and background enhancement. We first decompose the rainy image into low-frequency part and high-frequency part by low pass smoothing filter. Then, edge detection is performed on the low-frequency part to extract a mask, which will be used to capture rain-free image details from the high-frequency part. Next, the rain-free image details are superimposed on the low-frequency part to obtain an image without rains but well preserved details. Finally, the dark channel prior method is utilized to further alleviate the blur due to raining. Experiments on both synthetic and real rainy images demonstrate the effectiveness and efficiency of the proposed method.

关键词： Rain removal image decomposition Edge detection Dark channel prior

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Characteristic extraction, classification and identification algorithm based on two kinds of eaglewood micrographs 2

Characteristic extraction, classification and identification...

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2nd international conference on image, vision and Computing, ICIVC 2017

作者： Haifeng, Wang Kun, Zhang Li, Zhuang College of Ocean Information Engineering/Sanya Key Laboratory of Computer Vision Hainan Tropical Ocean University China College of Information Science and Technology Hainan University Haikou China College of Ocean Information Engineering/Division of Development and Planning Hainan Tropical Ocean University Sanya China

ISBN: (纸本)9781509062379

In order to classify the eaglewood, the work proposed a method of wood fiber segmentation and characteristic extraction based on the eaglewood micrographs. The active contour model was used to extract the contours of the eaglewood micrographs. After screening of wood fiber, the geometric features and shape factors were extracted to form characteristic vectors. After that, SVM was used to achieve the classification of the two kinds of eaglewood micrographs. Results show that the extracted characteristics can be used to express eaglewood fiber. With good classification performance, classification algorithm is easy to achieve. © 2017 IEEE.

关键词： Extraction

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Haze video image Clarity processing Based on Optical Flow Threshold 23

Haze video image Clarity Processing Based on Optical Flow Th...

引用

2nd Asia conference on Algorithms, Computing and Machine Learning (CACML)

作者： Chen Ru Wang Xijuan Shaanxi Inst Int Trade & Commerce Coll Informat Engn Xian 712046 Shaanxi Peoples R China

ISBN: (纸本)9781450399449

In view of the problem of haze weather on the visual effect of video image, which causes the picture distortion, image quality degradation and definition blur of video image, a defogging processing method of haze video image based on optical flow threshold is proposed so as to restore the real and natural color image. Firstly, extract the image of the t frame at time t, track the characteristics of the image at time t + 1 to time t + n, extract the image of the t+n frame, then calculate the optical flow values of the t frame and the t + n frame, make a difference between the obtained optical flow values to obtain the optical flow threshold, compare the obtained optical flow threshold with the given threshold, if the value is greater than or equal to the given threshold, take the optical flow threshold intermediate frame image, and the middle frame and t+n frame images are processed by Retinex algorithm, and this operation is performed iteratively. Finally, the processed single frame video sequence is merged into a whole and output. The experiment shows that the processing speed of the algorithm is 0.07, much lower than other processing methods, which verifies the effectiveness and innovativeness of the proposed algorithm.

关键词： Haze video Video frame Optical flow threshold

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