检索结果-内蒙古大学图书馆

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

来源：评论

学校读者我要写书评

暂无评论

Automatic Vehicle Number Recognition System using Character Segmentation and morphological algorithm

Automatic Vehicle Number Recognition System using Character ...

引用

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

来源：评论

学校读者我要写书评

暂无评论

An Improved morphological algorithm for Defect Detection on Point Cloud Data

An Improved Morphological Algorithm for Defect Detection on ...

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

An Eyelid Detection algorithm for the Iris Recognition

引用

INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS 2015年第5期9卷 105-112页

作者： Cai, Pengfei Wang, Chongke Henan Mech & Elect Engn Coll Xinxiang 453002 Peoples R China

To reduce the influence of the eyelid for the iris recognition rate, an eyelid detection algorithm for the iris recognition is proposed. The grayscale morphological operations are employed to remove the interference of the eyelash and the light spot to the eyelid region. The points of the minimum grayscale value of each column in the eyelid region are extracted as edge points. The least squares parabolic fitting eyelids is carried out for the edge points of the eyelid. The eyelid parabolic moving up and down in neighborhood region is used to localizing the eyelid precisely, when the grayscale mutation happens. The experimental results show that the eyelid localization algorithm can detect the eyelid effectively and quickly. Compared with the hough transform algorithm, the accurate rate is the same, but the speed is improved about 4 seconds.

关键词： eyelid localization morphological algorithm least square fitting method

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Constraint factor graph cut-based active contour method for automated cellular image segmentation in RNAi screening

引用

JOURNAL OF MICROSCOPY 2008年第2期230卷 177-191页

作者： Chen, C. Li, H. Zhou, X. Wong, S. T. C. Univ Sci & Technol China Dept EEIS Hefei 230026 Peoples R China Harvard Univ Sch Med Brigham & Womens Hosp HCNR Ctr Bioinformat Boston MA 02115 USA

Image-based, high throughput genome-wide RNA interference (RNAi) experiments are increasingly carried out to facilitate the understanding of gene functions in intricate biological processes. Automated screening of such experiments generates a large number of images with great variations in image quality, which makes manual analysis unreasonably time-consuming. Therefore, effective techniques for automatic image analysis are urgently needed, in which segmentation is one of the most important steps. This paper proposes a fully automatic method for cells segmentation in genome-wide RNAi screening images. The method consists of two steps: nuclei and cytoplasm segmentation. Nuclei are extracted and labelled to initialize cytoplasm segmentation. Since the quality of RNAi image is rather poor, a novel scale-adaptive steerable filter is designed to enhance the image in order to extract long and thin protrusions on the spiky cells. Then, constraint factor GCBAC method and morphological algorithms are combined to be an integrated method to segment tight clustered cells. Compared with the results obtained by using seeded watershed and the ground truth, that is, manual labelling results by experts in RNAi screening data, our method achieves higher accuracy. Compared with active contour methods, our method consumes much less time. The positive results indicate that the proposed method can be applied in automatic image analysis of multi-channel image screening data.

关键词： active contour automatic image segmentation constraint factor fluorescent microscopy genome-wide screening graph cut morphological algorithm RNAi

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

2-D Geometric Shape Recognition Using Canny Edge Detection Technique 3

2-D Geometric Shape Recognition Using Canny Edge Detection T...

引用

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

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

ISBN: (纸本)9789380544199

Objects are used in our everyday *** is full of *** are classified based on their shapes such as spherical,rectangular,square,*** classify objects with the help of our senses but it is very difficult for a computer to classify as they don't have any *** we have to program them in such a way so that they can classify or recognize different objects. In this paper, we will classify the shape of object that whether they belong to any geometric shape or not. We will recognize the shape of the objects from the black and white image, which was earlier a colored *** will represent the image of an object with the help of Canny Edge Detection Technique.

关键词： Canny Edge Detection.Image Processing morphological algorithm Object Shape Recognition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：