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IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)

作者： Vijayalakshmi, N. Sindhu, S. Suriya, S. SRMIST Dept Comp Applicat Ramapuram Campus Chennai Tamil Nadu India

ISBN: (纸本)9781728192512

An automatic vehicle number recognition system has been proposed Here the image has processed by MATLAB to identify the number plate of the vehicle and Image extraction using the Optical Character Recognition with the morphological algorithm and ANPR.. After this identification of vehicle number, vehicle details will be saved on cloud with the help of IoT Zigbee. The system find where the vehicle be located now with the help of cloud database. After that it finds the nearest nodes which have the highest strength of signal and next compare the same vehicle which may crossed that signal likewise track the location of the device. The automatic detection of object and object classification can be applied to identify the vehicle object. The morphological algorithm can present into capturing the images in any directional with 3D notation. The resulting data is compared with the records on a database.

关键词： ANPR Object Detector and classifier morphological algorithm Optical Character Recognition OTSU

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An Improved morphological algorithm for Defect Detection on Point Cloud Data

An Improved Morphological Algorithm for Defect Detection on ...

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IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)

作者： Zhou, Hongyu Zhang, Ruixun Li, Huichao Shao, Xiuli Nankai Univ Coll Comp Sci Tianjin Peoples R China MIT Lab Financial Engn 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781728165905

There are often various defect points in the original point cloud data. Therefore, the point cloud data need to be pre-processed by filtering algorithms. The classical morphological algorithm is a common method to filter point cloud data. However, classical morphological algorithms often have limitations when applied to large-scale filtering. On the one hand, the classical algorithm adopts single opening or single closing operation to filter the point cloud data, which results in its inability to detect concave and convex defect points simultaneously. On the other hand, the filtering window linear increment strategy is used in the classical algorithm, which may influence filtering accuracy when applied to large workpieces. Because of these issues, this paper proposes two methods to improve the classical morphology algorithm and applies it to filter point cloud data on the rotor surface. One method is to change single opening or single closing operation to alternating opening and closing operations to realize simultaneous detection of concave and convex defects, while the other is to design a more flexible filter window increment strategy based on rotor surface curvature. Finally, compared with the classical algorithm, we show that the filtering accuracy can be increased by more than 11% through the improved algorithm.

关键词： Point cloud data morphological algorithm Opening operation Closing operation Window increment strategy

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Number Plate Recognition through Image using morphological algorithm 3

Number Plate Recognition through Image using Morphological A...

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3rd International Conference on Computing for Sustainable Global Development (INDIACom)

作者： Singh, Sandeep Kaur, Bikrampal CEC Landran Mohali India CEC Landran Dept Comp Sci Mohali India

ISBN: (纸本)9789380544199

Thechange ofimages of typewritten or output text into m/c understandable form from an image defined Text *** Extraction basically trades about recognition of characters that are optically *** of characters done only when the printing and writing is *** paper proposes an idealistic method for the recognition of text or characters from the image using morphological *** algorithm will he used in case of Toll plaza applications, cold drink industries etc, in which the image will be shown with the help of camera and using morphological algorithm the extraction of text and characters from that captured image.

关键词： Image Processing Mid Filtering Method morphological algorithm Text Extraction

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K-Means and Morphology Based Feature Element Extraction Technique for Clothing Patterns and Lines

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2024年第10期15卷 844-850页

作者： Ding, Xiaojia Zhengzhou Acad Fine Arts Zhengzhou 451450 Peoples R China

in the process of clothing design and production, the traditional artificial feature element extraction method has the problems of low efficiency and insufficient precision, which is difficult to meet the automation and intelligent needs of modern clothing industry. In order to solve this problem, this paper proposes a technology that combines K-means clustering algorithm and morphology method to extract clothing pattern and line feature elements. This technology uses K-means clustering algorithm to preprocess clothing images to realize feature extraction of clothing pattern elements, and then introduces morphology method to realize feature extraction of image line elements. This technology not only improves the accuracy and efficiency of feature element extraction, but also retains the details of clothing images, which provides a strong support for automatic and intelligent processing in clothing design and production.

关键词： K-means morphological algorithm feature extraction

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Procedural Modelling as a Tool for morphological Analysis of the Design Idea

Procedural Modelling as a Tool for Morphological Analysis of...

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AHFE International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping

作者： Romor, Jessica Sapienza Univ Rome Dept Hist Representat & Restorat Architecture Piazza Borghese 9 I-00186 Rome Italy

ISBN: (纸本)9783030202163;9783030202156

In recent years, generative modeling has assumed a very important role in the training of the designer. The generative approach, in fact, educates to a conscious and rigorous representation of the form through a logical process that describes its geometric genesis by making explicit the dimensional and proportional relationships between the parts that compose it, information that can always be accessed to verify the quality of the project reading and with which it is possible to interact. Through the exposure of selected case studies, drawn from the tradition of interior design, we will see how the generative model is able to express in a summarized and comprehensive form the information necessary and sufficient to define the genesis of the shape of an object and, in as such, to educate the student to a conscious and controlled design of the form.

关键词： Geometric analysis Parametric generative modelling Educational methodology morphological algorithm 3D modelling

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Research on statistical detection method of micro bubbles in transparent layer of quartz crucible based on image processing

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JOURNAL OF CRYSTAL GROWTH 2021年 556卷 125966-125966页

作者： Zhao, Qian Li, Rong-Rong Qian, Q. U. Xian Univ Sci & Technol Sch Commun & Informat Engn Xian 710054 Shaanxi Peoples R China Nantong Acad Intelligent Sensing Nantong 226000 Jiangsu Peoples R China

Quartz crucible is a widely used manufacturing equipment in silicon crystal manufacturing industry, and the detection of its quality has a great influence on the purity of subsequent silicon crystals. In this paper, a machine vision-based bubble detection statistical system for transparent layer of quartz crucible is designed, and an intelligent algorithm for measuring the diameter, area and number of bubbles is proposed. Firstly, the bubble image is filtered and enhanced pre-processing operation to enhance the difference between the bubble and the background, and then the binary contour of the bubble is extracted by using a bubble contour extraction algorithm that fuses the morphological algorithm. In order to improve the accuracy of bubble detection, a curvature-based corner detection algorithm is proposed for overlapping *** experimental results show that the algorithm can accurately and real-time detect the number and diameter of bubbles. Compared with the connected component algorithm(CCA) and edge chain code information (EDCI) algorithm, the proposed method has lower cost and higher detection efficiency.

关键词： Quartz crucible Image enhancement Bubble detection morphological algorithm Overlapping bubbles segmentation

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Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions

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REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 2021年 22卷

作者： Abdollahzadeh, Sara Sepehr, Adel Rashki, Alireza Ferdowsi Univ Mashhad Dept Desert & Arid Zones Management Mashhad Razavi Khorasan Iran

For determining of the desert ecosystem based on transition zones, a quantitative approach was applied in Khorasan Razavi province in northeast of Iran. The spectral and morphological algorithms were implemented in remote-sensing images of MODIS surface reflectance in order to determine the ecogeomorphic thresholds between the transition zones of the semi-arid ecosystems. Furthermore, the spectral angle mapper analysis was applied for the surface conditions and the mathematical morphology algorithm of dilation was used for identifying the recovery and erodibility potential trends in the heterogeneous land surface covers. A detailed assessment of the mapping was achieved by implementation of an iterative self-organized clustering technique (ISODATA) and calculation of separability of formed typologies classes using the transformed divergence algorithm. The assessment of NDVI (normalized difference vegetation index) in each cluster indicates an increasing trend of standard deviation, which shows maximum values near desert thresholds. According to the results, several desert thresholds were detected in susceptible ecosystems to desertification in Khorasan Razavi that were affected by natural and anthropogenic factors. Further evaluation shows the location of the transition zones and the thresholds under changing climatic conditions. In synopsis, in prone areas with the high potential to desertification, the ecosystem is susceptiblt to shift to desert state.

关键词： Desert thresholds Spectral algorithms morphological algorithm Spatial instability Erodibility and recovery potentials Transition zones

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Development of positioning system for Nuclear-fuel rod automated assembly

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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2020年 61卷 101826-000页

作者： Chen Shengfeng Liu Jian Zhang Xiaosong Suo Xinyu Lu Enhui Guo Jilong Xi Jianxu Hunan Univ State Key Lab Adv Design & Manufacture Vehicle Bo Changsha 410082 Hunan Peoples R China North Nucl Fuel Components Co Baotou 014000 Peoples R China

A heavy-water nuclear reactor requires five different types of nuclear-fuel rods assemble into bundles. Intelligent identification and positioning of these different types rods for automated bundle assembly remain a challenge owing to their extensive variations and minute distinctions. This paper presents an innovative machine-vision based nuclear-fuel rod positioning system that enables automated rod bundle assembly in a heavy-water nuclear reactor. The system is capable of identifying the type and polarity and adjusting the pose of rods by incorporating the following solutions: 1) a hypercentric imaging solution that is capable of capturing clear and complete images of the rod spacers, even for the rods with large straightness deviations;2) a robust and noise-resistant multi-scale, multi-directional morphological edge extraction algorithm that features complete and accurate edge image extraction with minimum false edges;and 3) a rod body center at spacers deviation correction algorithm that contributes to a higher level of consistency with the true rod body center. The system is robust, as demonstrated by the following performance indices: a process capability C-pk of 1.14, which is translated into a process yield of 99.95%;100% correct rod type identification;100% correct rod polarity identification;and an average time of 8.92 s for positioning a single rod, meeting the required production cycle. The system has been successfully deployed in the North Nuclear Fuel Components Co., Ltd. (a subsidiary of China National Nuclear Corporation).

关键词： Automated positioning Machine vision Nuclear-fuel rod Center deviation correction morphological algorithm

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A New Kind of Image Edge Detection Based on The Theory of The Adaptive Lifting Wavelet and Morphology

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JOURNAL OF INFORMATION TECHNOLOGY RESEARCH 2018年第3期11卷 90-104页

作者： Ren, Honge Xu, Xiyan Zhu, Meng Huo, Dongxu Northeast Forestry Univ Forestry Intelligent Equipment Engn Res Ctr Coll Informat & Comp Engn Harbin Heilongjiang Peoples R China Northeast Forestry Univ Coll Informat & Comp Engn Harbin Heilongjiang Peoples R China

This article describes how in traditional edge detection it is prone to defects such as fuzzy positioning, and noise influence. This article proposes a type of edge detection algorithm which combines lifting wavelet transform and adaptive mathematical morphology, which makes a lifting wavelet to analyze the wood cell image. Then, the high-frequency part is detected by using the algorithm fusing the wavelet packet and the rapid-combining multi-scale wavelet, which controls noise effectively;while for the low frequency part is detected with modified adaptive mathematical morphology, to locate the exact details. The final result will processes the edge of the image using "algebra" algorithm fusion. The example for a wood cell image which illustrates the algorithm is to detect the cell boundary relatively clearly, and effectively suppress the noise.

关键词： Edge Detection Improve Wavelet morphological algorithm Wood Cells

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LIBS Spectra Automatic Baseline Correction Method Based on Iterative Morphometric Weighted Penalized Least Squares 10

LIBS Spectra Automatic Baseline Correction Method Based on I...

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10th International Conference on Information Optics and Photonics

作者： Sun Yongkai Hao Xiaojian Ren Long North Univ China Key Lab Instrumentat Sci & Dynam Measurement Minist Educ Taiyuan 030051 Shanxi Peoples R China North Univ China Sch Instrument & Elect Taiyuan 030051 Shanxi Peoples R China

ISBN: (纸本)9781510625808

Laser induced breakdown spectroscopy (LIBS) is an analytical technique that has received increasing attention due to many applications. A continuous background will cause baseline drift, which significantly affects spectral analysis. In this paper, an automated baseline correction method based on iterative morphological operations and weighted penalized least squares method is used for LIBS spectral baseline correction. This method can correct the estimated baseline. Experiments on simulated spectra and actual laser-induced breakdown of stainless steel sample LIBS data show that this method is accurate and flexible when used for LIBS spectral baseline correction.

关键词： LIBS continuous background baseline correction morphological algorithm automatic iteration

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