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

共 1647 条记录，以下是1491-1500 订阅

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A Mobile Application for Early Detection of Melanoma by image processing Algorithms

A Mobile Application for Early Detection of Melanoma by Imag...

引用

Iranian conference of Biomedical Engineering (ICBME)

作者： Seyed Mohammad Alizadeh Ali Mahloojifar Dept. of Biomedical Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781538679531;9781538679524

Melanoma is the most dangerous skin cancer which causes many deaths annually. However, early detection can help treat it. For accurate detection of melanoma, dermatologists use biopsy which is usually associated with pain, time and cost. With the advancement of technology and the development of smartphones, many mobile applications have been designed for early detection of melanoma. Although they are fast in the detection of melanoma and save time and money, they are not as accurate as the biopsy. In this paper, the authors proposed an application for early detection of melanoma using image processing methods and pattern recognition algorithms by Android Studio software, Java programming language, and the OpenCV library. All detection steps were carried out using the Android smartphone. For better performance in the classification step, in addition to the smartphone, a computer was also used. This application is user-friendly and the calculated Accuracy, Sensitivity, and Specificity are 95%, 98%, and 92.19% on average, respectively. It should be noted that these results are more reliable when the lesions are geometrically distinct.

关键词： Smart phones Melanoma Lesions image segmentation Support vector machines Biopsy

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A Robust Secure Access Entrance Method Based on Multi Model Biometric Credentials Iris and Finger Print 3rd

A Robust Secure Access Entrance Method Based on Multi Model ...

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3rd international conference on Machine Learning, image processing, Network Security and Data Sciences, MIND 2021

作者： Yadav, Pranay Chaurasia, Nishant Gola, Kamal Kumar Semwan, Vijay Bhasker Gomasta, Rakesh Dubey, Shivendra Madhya Pradesh Bhopal462023 India Department of Computer Science and Engineering S V Polytechnic College Madhya Pradesh Bhopal462002 India Uttarakhand Roorkee247667 India Department of CSE MANIT Madhya Pradesh Bhopal India Department of Research and Development Navigator Technologies Madhya Pradesh Bhopal India Senior IT Faculty iNurture Education Solution Pvt. Ltd Karnataka Bangalore560052 India

ISBN: (纸本)9789811958670

In the last decade secure access entrance system is a critical problem in between researchers. Single model-based biometric credentials entrance system face many lack of access failures. There failures are over come in multi model secure access system in which use more than one biometric system such as finger print as well as iris or finger print as well as face recognition. In this proposed work presented a secure access entrance multi model that is based on two biometric credentials iris as well as finger print. For the simulation of proposed method use matrix laboratory (R2018b). Simulations indicate proposed multi model biometric internee system perform better as compare to single model entrance system. The proposed method compare the performance in terms of accuracy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Biometrics

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3D Depth Information Based 2D Low-Complexity Hand Posture and Gesture Recognition Design for Human computer Interactions

3D Depth Information Based 2D Low-Complexity Hand Posture an...

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international conference on computers, Communications, and Systems (ICCCS)

作者： Ti Chiang Chih-Peng Fan Department of Electrical Engineering National Chung Hsing University Taiwan (R.O.C.)

ISBN: (纸本)9781538663516

Owing to the smart applications of human-computer interaction (HCI), the hand posture and gesture recognition technologies have acquired more and more attentions recently. In this work, the 2D low-complexity hand gesture identification technology is proposed based on 3D depth information. The proposed design overcomes the difficulties to separate the integrated palm region from the complex background. First, the proposed system uses the 3D depth camera to obtain the depth information. Then the system uses the depth image of the palm area to extract the contour and features of hand. By the contour and features of hand from geometric relationship, the proposed design recognizes several useful hand postures and gestures effectively. In our experiments, the recognition accuracy of hand gestures can be up to 98%. By implementing with the 4-core PC (Intel i7-4720, 2.6GHz, 8GB RAM), the average processing speed is up to 15 frames per second.

关键词： Thumb Gesture recognition Three-dimensional displays Cameras Two dimensional displays Lenses

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Locating Facial Features Using Thresheld images

Locating Facial Features Using Thresheld Images

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1996 3rd international conference on Signal processing(ICSP’96)

作者： Zhenyun Peng Suya You Guangyou Xu Computer Vision Lab. Computer Dept.Tsinghua University

This paper describes a scheme for locating the eyes and the mouth on a facial image with slightly constrained *** presented method only reasonably assumes that the facial image should be thresheld well enough that the hair and eyes can be distinctly separated from the *** first searches for all potential circles with specific radius as the candidates of the irises by performing the Hough Transform on the binarized image,then sifts the candidates to find out the two *** that,it roughly binds the mouth region according to the anthropometric standards and finally utilizes the integral projections to obtain the position of the *** has been tested on 223 face pictures with different illuminating conditions and varied head poses,and showed a quite satisfactory performance in both speed and accuracy.

关键词： Facial feature Detection Thresholding Hough Transform Integral Projection

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Automatic Generation Method of Basketball Continuous Pitching Action Based on Multi-Objective Machine vision

Automatic Generation Method of Basketball Continuous Pitchin...

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international conference on Information Systems and computer Aided Education (ICISCAE)

作者： Liang Qiaomei Xu Yi Guangdong University of Foreign Studies Guangzhou Guangdong Province China Guangdong Eco-Engineering Polytechnic Guangzhou Guangdong Province China

ISBN: (数字)9781728183046

ISBN: (纸本)9781728194608

In order to improve the effectiveness of basketball continuous pitching motion guidance, the image characteristics of basketball continuous pitching motion are analyzed with image processing method, and an automatic generation method of basketball continuous pitching motion based on multi-objective machine vision is proposed. The method comprises the following steps of: establishing a shape feature point feature matching model of a basketball continuous pitching motion fuzzy image; extracting posture key action points of the basketball continuous pitching motion fuzzy image by combining a spectral feature detection method; carrying out adaptive enhancement processing on the basketball continuous pitching motion fuzzy image by adopting a shape feature segmentation method; and obtaining sub-band pixel feature points of the basketball continuous pitching motion fuzzy image by combining a point tracking matching method and a feature extraction method. The fuzzy image of basketball continuous pitching motion is enhanced to improve the expression ability of posture information of fuzzy noise points in the image. The significant contrast enhancement processing of the fuzzy image of basketball continuous pitching motion is carried out through the point tracking recognition method, and the multi-objective machine vision features of the fuzzy image of basketball continuous pitching motion are extracted to realize automatic generation and accurate recognition of the fuzzy image of basketball continuous pitching motion. The simulation results show that the output peak signal-to-noise ratio automatically generated by using this method for basketball continuous pitching motion is higher, and the image recognition ability is better. Therefore, it is necessary to improve the performance of the system.

关键词： image recognition PSNR Tracking Shape Motion segmentation Object segmentation Feature extraction

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Design and optimization of a differentially coded variable block size motion compensation system

Design and optimization of a differentially coded variable b...

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IEEE international conference on image processing

作者： M.C. Chen A.N. Willson Department of Electrical Engineering University of California Los Angeles Los Angeles CA USA

While motion fields estimated by maximizing the temporal prediction quality tend to be noisy and demand a large number of bits to encode, finding the motion vectors (MVs) that allow efficient representations requires explicitly considering rate and distortion simultaneously. However, the application of rate-distortion optimization to current variable block size motion compensation (MC) systems is hampered by the fact that MV dependency introduced by the differential coding stage, e.g., the medium differential coding in the advanced prediction mode of the ITU-T standard H.263, makes the rate-distortion (R-D) optimization process extremely difficult. We propose two 1-D differential MV coding frameworks for variable block size MC systems. We show that for one of the proposed differential coding structures the optimal block sizes and the MVs can be jointly obtained by applying dynamic programming (DP) and tree-pruning techniques hierarchically without enumerating all combinations, while a near-optimal solution can be obtained for the other one by adopting a similar optimization procedure with little modification. By comparing the performance of our R-D encoding scheme with that of the H.263 test model TMN5, we find that our approaches achieve 30-60% bit-rate reductions in coding motion vectors, which results in greater than 1 dB gains within a MC hybrid coding environment for most head-and-shoulder videophone sequences under a low-bit-rate constraint.

关键词： Design optimization Motion compensation Motion estimation Rate-distortion Video sequences image segmentation Motion segmentation computer vision Quantization Rate distortion theory

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An Al-Based Security System Using computer vision and NLP Conversion System

An Al-Based Security System Using Computer Vision and NLP Co...

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Sustainable Technologies for Industry 4.0 (STI), international conference on

作者： Md. Rajaul Karim Punam Chowdhury Latifur Rahman Sumaya Kazary Dhaka University of Engineering & Technology Gazipur Bangladesh

ISBN: (纸本)9781665400107

In this 21st century, ensuring the security of a place is one of the most crucial things. We have to use either manual or semi-autonomous entrances and human security guards in most of the security systems. Many sophisticated apartments are still now using a traditional security system to ensure safety. Besides, monitoring only by the camera in a certain area is not a better solution to confirm safety. A lot of paperwork has been proposed to make security system as efficient as possible. But a few methods have been proposed an intelligent security system with integrated hardware and automation. The proposed methodology has emphasized building a robotics ecosystem of security that control entrances to give access to authentic people, making decisions and taking actions in any circumstances automatically by itself. These tasks are being performed based on a collective method of image processing, natural language processing, supervised learning, IoT, automation and web server technology. This robotic system is capable of memorizing previously identified humans with their information, talking with users in a local language, gathering necessary information and detecting everything with the user. By this method, there has been proposed a solution to overcome the limitations of a manual or semi-autonomous security system and provide intelligent AI-based security with a robotic ecosystem at a minimum cost.

关键词： Costs image processing Ecosystems Buildings Speech recognition Manuals Natural language processing

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Research on the image Segmentation Based on Improved Threshold Extractions

Research on the Image Segmentation Based on Improved Thresho...

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international conference on Cloud Computing and Internet of Things (CCIOT)

作者： Yi Zhang Zhijun Xia Department of Underwater Weaponry & Chemical Defense Dalian Naval Academy Dalian China

ISBN: (数字)9781538671412

ISBN: (纸本)9781538671429

image segmentation is one of the classic methods of image signal processing. It is widely used in the industrial inspection, public security, judicial, and so on. image segmentation using area has a special meaning to distinguish the different areas, and each area has consistency to ensure that each area is the intersection of each other. Based on the threshold and region extraction as the foothold, this paper introduces three typical image segmentation method based on threshold (iterative method global threshold segmentation, Otsu method global threshold segmentation, local threshold segmentation), and comparison of results by using computer simulation show the different of these three methods.

关键词： image segmentation Histograms Mathematical model Iterative methods computer simulation Scattering Adhesives

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Machine Aided 3D Urban Design based on Style Transfer

Machine Aided 3D Urban Design based on Style Transfer

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Science and Technology Innovation (IAECST), international Academic Exchange conference on

作者： Zhiyong Dong Yubo Liu Qiaoming Deng South China University of Technology State Key Laboratory of Subtropical Building Science Guangzhou China

ISBN: (纸本)9781665402682

Deep learning is widely used to identify input factors and make effective processing recently. Neural style transfer based on deep learning has been used in many fields such as art and computer vision, and it is also used as a tool of generative design to inspire the field of architecture. This article aims to control multiple influencing factors through data sorting and labeling and uses style transfer to realize more effective urban intention generation. Through adjusting self-defined parameters, the machine would generate the creative project as an urban plan for the real situation. Then labeled information of the output image is processed reversely to obtain height data and generate 3D models. According to the generated result, the article analyses whether it makes an effective response to the input factors and conditions, so as to discuss its rationality and feasibility.

关键词： Deep learning Technological innovation Solid modeling Three-dimensional displays Urban areas Morphology computer architecture

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Artistic image Enhancement Based on Iterative Contrastive Learning

Artistic Image Enhancement Based on Iterative Contrastive Le...

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Sentiment Analysis and Deep Learning (ICSADL), international conference on

作者： YiRan Tao RongJuan Wang Kyonggi University Suwon Gyeonggi-do Korea

ISBN: (数字)9798350396157

ISBN: (纸本)9798350396164

This research work presents a novel artistic image enhancement algorithm based on iterative contrastive learning to address the challenges of image degradation in computer vision systems. The proposed methodology integrates efficient de-noising, oversampling weight incorporation, and probability distribution control for comprehensive image enhancement. The algorithm is trained on a diverse data-set of low-light images and corresponding references, demonstrating its adaptability to different scenarios. Simulation results demonstrate the effectiveness of the algorithm in improving image quality, highlighting its potential for advancements in computational visual systems. The proposed approach contributes to ongoing research in image processing and enhancement, and offers a promising solution to the challenges posed by diverse operational environments and degradation issues in optical representations

关键词： Degradation Sentiment analysis Simulation Noise reduction Contrastive learning Visual systems Optical imaging

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