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

共 1672 条记录，以下是1261-1270 订阅

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Writer identification using a deep neural network 14

Writer identification using a deep neural network

引用

9th Indian conference on computer vision, Graphics and image processing, ICVGIP 2014

作者： Chu, Jun Srihari, Sargur Department of Computer Science and Engineering University at Buffalo State University of New York BuffaloNY14269 United States

ISBN: (纸本)1595930361

Most work on automatic writer identification relies on hand-writing features defined by humans[6, 4]. These features correspond to basic units such as letters and words of text. Instead of relying on human-defined features, we consider here the determination of writing similarity using automatically determined word-level features learnt by a deep neural network. We generalize the problem of writer identification to the definition of a content-irrelevant handwriting similarity. Our method first takes whether two words were written by the same person as a discriminative label for word-level feature training. Then, based on word-level features, we define writing similarity between passages. This similarity not only shows the distinction between writing styles of different people, but also the development of style of the same person. Performance with several hidden layers in the neural network are evaluated. The method is applied to determine how a person's writing style changes with time considering a children's writing dataset. The children's handwriting data are annually collected. They were written by children of 2nd, 3rd or 4th grade. Results are given with a whole passage (50 words) of writing over one-year change. As a comparison, similar experiments on a small amount of data using conventional generative model are also given. Copyright 2014 ACM.

关键词： Deep neural networks

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Detection methods for micro-cracked defects of photovoltaic modules based on machine vision

Detection methods for micro-cracked defects of photovoltaic ...

引用

IEEE international conference on Cloud Computing and Intelligence Systems (CCIS)

作者： Peng Xu Wenju Zhou Minrui Fei Shanghai Key Laboratory of Power Station Automation Technology Shanghai University Shanghai China School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom

ISBN: (纸本)9781467369541

The efficiency and the service life of the photovoltaic modules are affected by the surface defects. Therefore, it is critical to detect the photovoltaic modules whether it is qualified or not before assembling into solar panels. This paper applies a method to detect micro-cracked defects in photovoltaic modules using electroluminescence (EL) technology and image processing. After applying forward bias voltage to photovoltaic modules, a large amount of non-equilibrium carriers is injected into photovoltaic modules from the diffusion region recombination to constantly composite luminescence and emit photons. Then an image is formed by a CCD camera which is used to capture these photons. As the brightness of the captured image is proportional to minority carrier diffusion length and current density, if the minority carrier diffusion length is relatively low, there may be defective, which results in a relatively dark image. Micro-cracked defects can be effectively found by analyzing the EL image. Varies of methods, including image segmentation, Gauss filtering, Hough line detection, are used to process image to judge whether the solar cell module is cracked. According to detecting results, the combination of these methods can effectively detect micro-cracked defects in photovoltaic modules.

关键词： Silicon image segmentation Loss measurement Automation Photonics Industries computers

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Fast stereo image rectification using mobile GPU 3

Fast stereo image rectification using mobile GPU

引用

3rd international conference on Digital Information processing and Communications, ICDIPC 2013

作者： Park, Jungsik Choi, Junyeong Seo, Byung-Kuk Park, Jong-Il Department of Electronics and Computer Engineering Hanyang University 222 Wangsimni-ro Seongdong-gu Seoul133-791 Korea Republic of

Stereo image is frequently used as preprocessing of stereo vision techniques. Although stereo image rectification is performed using look-up tables which are computed in advance, it takes a long time to do rectification transformation on mobile platforms. Thus stereo image rectification process can be burdensome in stereo vision applications on mobile platforms. This paper presents an approach to rectify images from stereo camera fast using GPU on mobile platforms. 1. © 2013 SDIWC.

关键词： Stereo vision

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A Real-time Fire Detection and Notification System Based on computer vision

A Real-time Fire Detection and Notification System Based on ...

引用

3rd international conference on IT Convergence and Security (ICITCS)

作者： Bayoumi, Sahar AlSobky, Elham Almohsin, Moneerah Altwaim, Manahel Alkaldi, Monira Alkahtani, Munera Univ Alexandria Inst Gradute Studies & Res Alexandria Egypt King Saud Univ Coll Comp & Informat Technol Riyadh 11421 Saudi Arabia

ISBN: (纸本)9781479928453

Fires are one of the main causes of death amongst the world. Although there are various fire detection systems most of them did not proof its effectiveness in detecting fires due to inefficiency or restrictions. For example, systems based on smoke sensors in detecting fires cannot be used in open areas because they are restricted to the existence of a ceiling or a wall. Besides that, having many flammable objects in open large areas, such as trees and fuel of car may interact with oxygen in the air which make fire growth and expansion very fast. According to the prior stated facts in this paper we present the project we worked on with the aim of implementing a more efficient and trustworthy fire detecting system. The project was done by using computer vision and image processing techniques to detect fire flames based on studying the fire properties besides an alarm notification system.

关键词： computer vision image processing Real time detection Fire detection Notification system

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Scheduling techniques for parallel implementation of wear particle recognition algorithms 3

Scheduling techniques for parallel implementation of wear pa...

引用

3rd international conference on Digital Information processing and Communications, ICDIPC 2013

作者： Laghari, Mohammad Shakeel Khuwaja, Gulzar Ali Department of Electrical Engineering United Arab Emirates University Al Ain United Arab Emirates Department of Computer Engineering King Faisal University Al Ahsa Saudi Arabia

Many schemes in the field of computer vision and image processing, present potential for parallel implementations through one of the three major paradigms: geometric parallelism, algorithmic parallelism, and processor farming. Static process scheduling techniques are used successfully to exploit geometric and algorithmic parallelism, whilst dynamic process scheduling is better suited in dealing with the independent processes inherent in the processor farming paradigm. This paper considers the application of parallel, or multicomputers to a class of problems exhibiting spatial data characteristic of the geometric paradigm and is best suited to a static scheduling scheme. However, by using the processor farming paradigm, a dynamic scheduling technique is developed to suit the MIMD structure of the multi-computers. The specific problem chosen for the investigation is the recognition and classification of microscopic wear particles generated by wear mechanisms. Experiments are performed on static and dynamic schemes, and are compared in terms of total processing time, speedup, and efficiency. © 2013 SDIWC.

关键词： computer vision

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NON-DESTRUCTIVE QUALITY ANALYSIS OF KAMOD ORYZA SATIVA SSP INDICA (INDIAN RICE) USING MACHINE LEARNING TECHNIQUE

NON-DESTRUCTIVE QUALITY ANALYSIS OF KAMOD ORYZA SATIVA SSP I...

引用

3rd international conference on Communication Systems and Network Technologies (CSNT)

作者： Shah, Vinita Jain, Kavindra Maheshwari, Chetna V. GH Patel Coll Engg & Tech Vallabh Vidyanagar Gujarat India

ISBN: (纸本)9780769549583;9781467356039

Rice is one of the most important cereal grains. The paper presents a solution for quality evaluation and grading of Krishna Kamod rice using image processing and soft computing technique. In this paper basic problem of rice industry for quality assessment is defined which is traditionally done manually by human inspector. Machine vision provides one alternative for an automated, non-destructive and cost-effective technique. The proposed method for quality assessment of INDIAN KAMOD ORYZA SATIVA SSP INDICA (Krishna Kamod Rice) using image processing and multi-layer feed forward neural network technique which achieves high degree of quality than human vision inspection. The proposed algorithm based on morphological features is developed for counting the number of Krishna Kamod rice seeds with long seeds as well as small seeds. A trained multi-layer feed forward neural network based classifier is developed for identification of unknown rice seed quality.

关键词： Soft computing computer vision Quality image processing Oryza sativa L. (rice Seeds) Morphological features ISEF edge detection

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Automatic TFT-LCD Mura Detection Based on image Reconstruction and processing

Automatic TFT-LCD Mura Detection Based on Image Reconstructi...

引用

IEEE 3rd Annual international conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Yang, Yu-Bin Li, Ning Zhang, Yao Nanjing Univ State Key Lab Novel Software Technol Nanjing 210008 Jiangsu Peoples R China Nanjing Univ Jin Ling Coll Nanjing Peoples R China

ISBN: (纸本)9781479914128;9781479914111

Automatic inspection of Mura defects is a challenging task in thin-film transistor liquid crystal display (TFT-LCD) defect detection, which is critical for LCD manufacturers to guarantee high standard quality control. In this paper, we propose a set of automatic procedures to detect mura defects by using image processing and computer vision techniques. Singular Value Decomposition (SVD) and Discrete Cosine Transformation(DCT) techniques are employed to conduct image reconstruction, based on which we are able to obtain the differential image of LCD Cells. In order to detect different types of mura defects accurately, we then design a method that employs different detection modules adaptively, which can overcome the disadvantage of simply using a single threshold value. Finally, we provide the experimental results to validate the effectiveness of the proposed method in mura detection.

关键词： computer vision discrete cosine transforms image reconstruction liquid crystal displays singular value decomposition thin film transistors

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The Study of Thread Parameter based on Machine vision for Automatic Measurement

The Study of Thread Parameter based on Machine Vision for Au...

引用

3rd international conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM 2013)

作者： Chao, Jing Liu, Zhanfeng Liu, Yanshu Xian Shiyou Univ Sch Mech Engn Xian 710065 Shaanxi Peoples R China

ISBN: (纸本)9783037858462

In order to improve the measurement accuracy of thread parameter and can realize the automatic measurement of parameter, this paper propose a non-contact measuring method which is based on machine vision, we use the industrial linear array CCD with high-precision scan the projection of the thread which in the field of parallel light, using the image recognition, image acquisition, image data processing technology enable your computer finish the pitch diameter, thread pitch, tooth type angle on a non-contact of real-time, on-line measurement. This article also provides detailed measuring method with the main parameters of thread.

关键词： Machine vision Thread Parameter image processing Measurement Method

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Research on Length Measurement of Workpiece Based on Digital image processing Technique

Research on Length Measurement of Workpiece Based on Digital...

引用

3rd international conference on Advances in Materials Manufacturing (ICAMMP 2012)

作者： Bin, Luo Wei, Liu Yun, Luo Chongqing Electromech Design & Res Inst Chongqing 401147 Peoples R China

ISBN: (纸本)9783037856482

Aiming at the problems such as slow speed and low measuring accuracy existing in measuring length precision of pin parts in mass production, a new approach of high speed and precise measurement is proposed based on the research of the length measuring methods such as parallel laser length measuring method and area array CCD measuring method, etc. Application of (machine vision system and computer measurement & control technology) digital image processing technology can perform automatic high speed measurement and separation of workpiece effectively and accurately. The experimental results show that the machine speed could reach 4-5 pieces/second, with length measuring accuracy of around 10 microns, indicating that the approach proposed in this paper has important practical value.

关键词： Digital image processing Machine vision Pin part Length measurement CLC Number

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Research on empty bottle image inspecting system based on machine vision

Research on empty bottle image inspecting system based on ma...

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3rd international conference on Materials Science and Information Technology, MSIT 2013

作者： Sun, Hong Jun Dept. of Electronics and Information Technology Jiangmen Polytechnic Jiangmen 529090 China

ISBN: (纸本)9783037857700

Characterized with auto inspecting ability, high-speed and accuracy, machine vision technology is one of the most important means in medicine packaging and food processing industries. A structural system based on PC, DSP and visual sensor is presented in this paper. A sub pixel edge detection algorithm in image processing for high precision automatic alignment system which was an urgent problem on the actual machine vision field. The algorithm uses the spatial moments to detect the location of the edge in sub-pixel which improved the analysis speed and optimized the application of the whole system. © (2013) Trans Tech Publications, Switzerland.

关键词： computer vision

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