检索结果-内蒙古大学图书馆

7th International Workshop of Advanced Manufacturing and Automation (IWAMA)

作者： Du, Shuai Li, Yang Liu, Xuemei Yuan, Jin Shandong Agr Univ Coll Mech & Elect Engn Tai An 271018 Shandong Peoples R China Shandong Prov Key Lab Hort Machinery & Equipment Tai An 271018 Shandong Peoples R China

ISBN: (纸本)9789811057687;9789811057670

In order to realize the garlic single grain precision seeding, keep the garlic in an upright position, ensure the state of the garlic cloves upward, this paper uses machine vision technology, the collected garlic image preprocessing, image segmentation, expansion, area recognition method to process garlic images. Using the otsu algorithm to segment the image, we can separate the garlic image from the background very well. Based on the asymmetry of the area between the upper part and the lower part of the garlic. The direction of the garlic is identified by calculating the area of two parts. The experimental results show that the recognized accuracy of garlic's direction could reach to 95.33% by using this algorithm. And it can provide technical support for future single-grain precision planting of garlic.

关键词： Machine vision otsu algorithm Garlic

来源：评论

学校读者我要写书评

暂无评论

algorithm for Effectively Segmenting High-speed Rail Wheels Defects

Algorithm for Effectively Segmenting High-speed Rail Wheels ...

引用

IEEE International Conference on Power, Intelligent Computing and Systems

作者： Ping Zhang Lingcheng Kong Mingming Wang Zijian Wang Department of Information Engineering Machine Vision Laboratory University of Science and Technology of China Hefei Institutes of Physical Science of Chinese Academy of Sciences

ISBN: (纸本)9781728137216

Defects will reduce the performance and the quality of the wheels in different degree. Therefore, accurate identification of defects can separate broken wheels and reduce cost. Due to the uneven illumination and the high reflectivity of the wheel, the images of the wheels taken by the camera tend to produce more reflective areas. These reflective areas increase the misclassification rate of the images in the segmentation process. In order to reduce background interference and make the segmentation more accurate, this paper uses the improved otsu algorithm that limits the gray range in recognition process to segment the defects. The arithmetic in this paper can also speed up the otsu by the dichotomy. Experimental results show that the improved arithmetic used in this paper can find a better segmentation threshold and has good real-time performance.

关键词： High-speed rail wheels Defect recognition Image segmentation otsu algorithm

来源：评论

学校读者我要写书评

暂无评论

An adaptive clustering segmentation algorithm based on FCM

引用

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2017年第6期25卷 4533-4544页

作者： Yang, Jun Ke, Yun-sheng Wang, Mao-zheng Lanzhou Jiaotong Univ Sch Elect & Informat Engn Lanzhou Gansu Peoples R China Lanzhou Jiaotong Univ Sch Automat & Elect Engn Lanzhou Gansu Peoples R China

The cluster number and the initial clustering centers must be reasonably set before the analysis of clustering in most cases. Traditional clustering segmentation algorithms have many shortcomings, such as high reliance on the specially established initial clustering center, tendency to fall into the local maximum point, and poor performance with multithreshold values. To overcome these defects, an adaptive fuzzy C-means segmentation algorithm based on a histogram (AFCMH), which synthesizes both main peaks of the histogram and optimized otsu criterion, is proposed. First, the main peaks of the histogram are chosen by operations like histogram smoothing, merging of adjacent peaks, and filtering of small peaks, and then the values of main peaks are calculated. Second, a new separability measure eta is defined and a group of main peaks with the maximum value of eta serve as the optimal segmentation threshold value. The values of these main peaks are employed for initializing of the initial clustering center. Finally, the image is segmented by the weighted fuzzy C-means clustering algorithm. The experiment results show that, compared with existing algorithms, the proposed method not only avoids the oversegmentation phenomenon but also has a significantly shorter computing time than the traditional segmentation algorithm based on mean shift. Therefore, the proposed algorithm can obtain satisfactory results and effectively improve executive efficiency.

关键词： Clustering fuzzy C-means otsu algorithm histogram image segmentation separability measure

来源：评论

学校读者我要写书评

暂无评论

Robust player detection and tracking in broadcast soccer video based on enhanced particle filter

引用

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2017年 46卷 81-94页

作者： Yang, Ying Li, Danyang China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China 27 Qinghua East Rd Beijing 100083 Peoples R China

It is significant to detect and track soccer players in broadcast sports video, which is helpful to analysis player activity and team tactics. However, it is challenging to efficiently detect and track soccer players with shots switched and noise caused by auditorium and billboards. And for multi-player tracking how to treat the increase or decrease of player are also difficult. In this paper, a robust player detection algorithm based on salient region detection and tracking based on enhanced particle filtering are proposed. Salient region detection is used to segment sports fields, and then soccer players are detected by edge detection combined with otsu algorithm. For soccer players tracking, we use an enhanced particle filter which we improve the algorithm in sample and the likelihood function combing the color feature and edge feature. Experimental results show the proposed algorithm can quickly and accurately detect and track soccer players in broadcast video. (C) 2017 Elsevier Inc. All rights reserved.

关键词： Object tracking Particle filter Salient region detection otsu algorithm

来源：评论

学校读者我要写书评

暂无评论

A PUPIL LOCATION METHOD BASED ON IMPROVED otsu algorithm

A PUPIL LOCATION METHOD BASED ON IMPROVED OTSU ALGORITHM

引用

2nd IEEE International Conference on Cloud Computing and Intelligent Systems (CCIS)

作者： Yang, Fan Sun, Huaiyi Wang, Dongqiang Huang, Lili Hu, Longcan Gao, Yue Li, Haiyan Chongqing Res Ctr Informat & Automat Technol Chongqing 401123 Peoples R China Chongqing Univ Posts & Telecommun Chongqing 401123 Peoples R China

ISBN: (纸本)9781467318556;9781467318570

To improve the accuracy and rapidity of pupil location in human-computer interaction, a method based on the improved otsu algorithm is proposed in this paper. Firstly, the image is pre-processed using light compensating and median filtering to calculate the maximum between-class variance of the pixels which exist in the image, and obtain the optimum threshold of the binary image. Finally, the pupil center and radius is got by using ellipse fitting. Experiment results show that the method is quite accurate and fast, which laid a great foundation for the eye tracking.

关键词： Pupil location Threshold otsu algorithm Ellipse fitting

来源：评论

学校读者我要写书评

暂无评论

AUTOMATIC EXTRACTION OF WATER IN HIGH-RESOLUTION SAR IMAGES BASED ON MULTI-SCALE LEVEL SET METHOD AND otsu algorithm 22

AUTOMATIC EXTRACTION OF WATER IN HIGH-RESOLUTION SAR IMAGES ...

引用

22nd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing

作者： Sui, H. G. Xu, C. Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China

Water extraction has an important significance in flood disaster management and environmental monitoring. Compared to optical sensor, Synthetic aperture radar (SAR), which has the properties of high resolution and all-weather acquisition, has been used for water extraction in this paper. Due to the presence of coherent speckles, which can be modeled as strong, multiplicative noise, water extraction in SAR image is very difficult. In order to extract water from SAR images automatically, accurately and quickly, a novel water extraction algorithm combine multi-scale level set method with otsu algorithm is proposed in this paper. Firstly, we introduced multi-scale framework into level set method. Multi-scale framework is a method considering both global information and local information of the image. The overall structural information of the image can be maintained at coarse scales and detailed information can be kept at fine scales. Therefore, coarser scale extraction results can be used as a prior guide for the finer scale, so that not only are the statistical properties of the signal-resolution image considered, but also statistical variations of multiple resolutions are exploited. Moreover, computational complexity is reduced since much of the work can be accomplished at coarse resolutions, where there are significantly fewer pixels to process. Secondly, based on the multi-scale level set framework, the segmentation result of otsu algorithm is used to represent the initial segmentation curve. Finally, in order to eliminate the influence of buildings shadow and road, post-processing is considered in this paper. The experiments with real SAR images demonstrate the effectiveness of the new method.

关键词： Synthetic aperture radar (SAR) Multi-scale level set Water extraction otsu algorithm Segmentation

来源：评论

学校读者我要写书评

暂无评论

The License Plate Image Binarization Based on otsu algorithm and MATLAB Realize

The License Plate Image Binarization Based on Otsu Algorithm...

引用

International Conference on Industrial Control and Electronics Engineering (ICICEE)

作者： Zhang Zhi-Yong Song Yang Changchun Teachers Coll Comp Sci & Technol Inst Changchun 130032 Jilin Province Peoples R China Jilin Teachers Inst Engn & Technol Changchun Peoples R China

ISBN: (纸本)9780769547923

This article is about the technology of using otsu algorithm to binary the license plate image. Meanwhile, the author presents the theory of otsu algorithm, and the theories of binarization method to deal with gray-scale image of the license plate. Then the results of the license plate image binarization based on MATLAB are presented.

关键词： otsu algorithm License Plate Image MATLAB Image Binarization

来源：评论

学校读者我要写书评

暂无评论

An Improved Image Enhancement algorithm

引用

Wuhan University Journal of Natural Sciences 2017年第1期22卷 85-92页

作者： MA Jing ZOU Chengming JIN Xiaolong Hubei Key Laboratory of Transportation Intemet of Things Wuhan 430070 Hubei China Department of Computer Science and Technology Wuhan University of Technology Wuhan 430070 Hubei China Jiangxi Lanxiang Heavy Industries Company Pingxiang 337000 Jiangxi China Wuhan Road and Bridge Toll Management Center Wuhan 430050 Hubei China

To solve the problems of noise,detail loss and poor contrast in the successive mean quantization transform（SMQT）,a new SMQT algorithm based on otsu algorithm is *** this algorithm,we integrate the optimal threshold selected by the otsu algorithm into the SMQT algorithm,then obtain the successive mean quantization of the binary *** this algorithm,an enhanced image is output with a higher *** both subjective visual effect and objective quality evaluation,the experimental results show that the improved algorithm reduces noise,improves contrast and makes the image details more clear.

关键词： successive mean quantization transform （SMQT） otsu algorithm optimal threshold image enhancement

来源：评论

学校读者我要写书评

暂无评论

Segmentation of Disease Image of Lettuce Leaves Based on Machine Vision

Segmentation of Disease Image of Lettuce Leaves Based on Mac...

引用

第30届中国控制与决策会议

作者： MENG Rui-qi CUI Shi-gang ZHANG Yong-li WU Xing-li HE Lin Tianjin Key Laboratory of Information Sensing Intelligent Control Tianjin University of Technology and Education

In order to apply the research on the disease of lettuce leaves, a new segmentation method of disease image of lettuce leaves was proposed based on machine vision. In this method, the otsu algorithm is used to segment the leaves and background of lettuce, and uses the H component as the data processing basis to divide the diseased area. Compared with K-means algorithm, the results show that the proposed method has higher segmentation accuracy and faster running speed.

关键词： Machine Vision Lettuce Image Segmentation otsu algorithm HSI Color Space K-Means algorithm

来源：评论

学校读者我要写书评

暂无评论

Research on Pupil Center Localization in Eye Gaze Tracking System

Research on Pupil Center Localization in Eye Gaze Tracking S...

引用

第37届中国控制会议

作者： Xing Jin Zhicheng Li Jingjing Zhang Xiang Yang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The human-computer interaction technology which based on the gaze tracking system is convenient and fast. It can achieve the purpose of sight and computer interaction. Based on the relatively static head tracking system, we make improvements for otsu algorithm to separate the binarized pupil image and the background image completely. I wrote a function to delete a small area that gets a complete and clear binarized pupil image for the existence of small area noise clump. Finally, using the contour extraction method and the three-point circle method to complete the task of Pupil location.

关键词： Gaze tracking system otsu algorithm Pupil location

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：