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检索条件"主题词=Otsu Algorithm"

共 121 条记录，以下是81-90 订阅

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Research on Adaptive Canny algorithm Based on Dual-Domain Filtering 8th

Research on Adaptive Canny Algorithm Based on Dual-Domain Fi...

引用

8th International Symposium on Parallel Architectures, algorithms, and Programming (PAAP)

作者： Shen, Xiajiong Duan, Xiaoyu Han, Daojun Yuan, Wanli Henan Univ Inst Data & Knowledge Engn Kaifeng 475004 Henan Peoples R China Henan Univ Sch Comp & Informat Engn Kaifeng 475004 Henan Peoples R China

ISBN: (纸本)9789811064425;9789811064418

In order to overcome the shortcomings of the traditional Canny algorithm, which is easy to lose the edge details of the edge detection, and is prone to a large number of false edges and the threshold needs to be manually determined, an adaptive Canny algorithm based on Dual-domain filtering is proposed. Firstly, the Dual-domain filter is used to instead of the traditional algorithm, which is used to remove the image noise while preserving the image edge information, and more effective than the traditional Canny algorithm;Secondly, the otsu algorithm is used to calculate the high and low threshold of Canny operator in order to achieve the purpose of high automation. The experimental results show that the improved algorithm can detect more effective edges of the image, but also has a strong adaptability.

关键词： Canny algorithm Edge detection Dual-domain filtering Gauss filter Genetic algorithm otsu algorithm

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A method of recognition of maritime objects based on FLIR (forward looking infra-red) sensor images using Dynamic Time Warping 11

A method of recognition of maritime objects based on FLIR (f...

引用

Conference on Electro-Optical Remote Sensing XI

作者： Pietkiewicz, Tadeusz Mil Univ Technol Inst Radioelect Gen S Kaliskiego Str 2 PL-00908 Warsaw Poland

ISBN: (数字)9781510613331

ISBN: (纸本)9781510613331;9781510613324

This paper presents a method of recognition of maritime objects based on their images made by infrared sensors (FLIR forward looking infra-red) using the time series comparison DTW method (DTW-Dynamic Time Warping). The DTW method allows to find the smallest distance between two time series when the run of time one of the series has been deformed (stretched or compressed). In the presented classifier of maritime objects images the DTW method is used to compare the combined horizontal and vertical brightness histograms for a recognized object and pattern objects. The DTW method allows to compare the histograms of objects whose FLIR images were taken at different angles. To determine the silhouette of a maritime object, the otsu segmentation algorithm is used in this paper. The paper describes the otsu threshold method, the method of comparing time series DTW and the method of constructing combined histograms of maritime objects silhouettes. The final part of the paper presents the results of research on the developed method of maritime objects classification using a set of FLIR images registered in the Baltic Sea.

关键词： image recognition forward looking infra-red sensors time series comparison dynamic time warping DTW otsu algorithm horizontal and vertical brightness histograms classifier

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A PUPIL LOCATION METHOD BASED ON IMPROVED otsu algorithm

A PUPIL LOCATION METHOD BASED ON IMPROVED OTSU ALGORITHM

引用

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Fan Yang Huaiyi Sun Dongqiang Wang Lili Huang Longcan Hu Yue Gao Haiyan Li Chongqing Research Center for Information and Automation Technology Chongqing University of Posts and Telecommunications

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

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Motion Detection Based on Improved Sobel and ViBe algorithm 35

Motion Detection Based on Improved Sobel and ViBe Algorithm

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第35届中国控制会议

作者： ZHANG Yujia ZHAO Xiaoguang TAN Min State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences School of Computer and Control Engineering

ISBN: (纸本)9781509009107

Motion detection plays a crucial role in most video based applications.A particular background subtraction technique called ViBe(Visual Background Extractor) is commonly used to obtain foreground objects from the background due to its high detection rate and low computational ***,the performance is not very ***,this paper presents an improved ViBe algorithm to increase the accuracy and robustness of motion ***,a foreground feature map is created by optimizing the result of ViBe *** the edge detection of the original video frames is achieved after pre-sharpening using improved Sobel operator and otsu ***,by feature fusion(of the foreground and background feature maps) and contour filling,the motion detection results can be *** experiments demonstrate the improvements of the proposed modifications at a limited additional cost.

关键词： Motion detection otsu algorithm Sobel operator Visual Background Extractor(ViBe)

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Adaptive Threshold Gesture Segmentation algorithm Based on Skin Color

Adaptive Threshold Gesture Segmentation Algorithm Based on S...

引用

2016 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics(AMEII 2016)

作者： Chengyuan Liu Jingqiu Wang Ting Zhang Dongsheng Ding School of Automation Beijing Institute of Technology Institute of Automation Chinese Academy of Sciences (CASIA)

ISBN: (纸本)9781510823808

In gesture recognition systems,segmenting gestures from complex background is the hardest and the most critical *** segmentation is the prerequisite of following image processing,and the result of segmentation has a direct influence on the result of gesture *** paper proposed an algorithm of adaptive threshold gesture segmentation based on skin *** of all,a whole image should be transformed from RGB color space to YCb Cr color *** eliminating luminance component Y,similarity graph of skin color will be obtained from the already established Gaussian *** otsu adaptive threshold algorithm is used to carry out binary processing for the similarity graph of skin *** the segmentation of skin color regions,the morphology method is used to process binary image for determining the location of *** results show that the detailed segmentation of skin color using the dynamic-adaptive threshold can improve noise resistance and can produce better results.

关键词： Gesture recognition Gaussian model Skin segmentation otsu algorithm

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An improved license plate characters binarization algorithm based on sub-pixel

An improved license plate characters binarization algorithm ...

引用

2016 2nd Workshop on Advanced Research and Technology in Industry Applications(WARTIA 2016)

作者： Ju Zhi-yong Wang Chao-nan He Xiao-lei University of Shanghai for science & Technology

For the problem of traditional binarization algorithm can't segmentation license plate adhesion or intermittent character *** paper proposes a new binarization algorithm which use a curved surface fitting algorithm to get a new gray level image based on *** show that it could widely combine with binarization algorithm and the algorithm can effectively maintain the topology of the license plate characters,and the edge of license plate characters is very smooth.

关键词： Binarization Sub-pixel Curved surface fitting algorithm otsu algorithm

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BUILDING IDENTIFICATION FROM SAR IMAGE BASED ON THE MODIFIED MARKER-CONTROLLED WATERSHED algorithm

BUILDING IDENTIFICATION FROM SAR IMAGE BASED ON THE MODIFIED...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Yang, Yuanyuan Wang, Yong Qian, Jiang Univ Elect & Sci Technol China Sch Resources & Environm 2006 Xiyuan Ave Chengdu 611731 Sichuan Peoples R China E Carolina Univ Dept Geog Planning & Environm Greenville NC 27858 USA UESTC Big Data Res Ctr Inst Remote Sensing Big Data Chengdu 611731 Sichuan Peoples R China

ISBN: (纸本)9781479979295

Detailed information about a building and its surrounding is generally contained in hi-resolution synthetic aperture radar (SAR) data. An approach to extract the information and to identify the building with linear features from a single hi-resolution SAR image has been developed. With the strong radar backscattering and shape feature of a building in SAR image, external markers were derived by an otsu algorithm and a morphology algorithm. Then the minima imposition technique was used to modify the edge-enhanced SAR image coupled with the markers. Finally, the linear building boundaries were obtained using the watershed algorithm. Results of building extract from three types of developed areas were satisfactory.

关键词： Building identification Marker-controlled watershed algorithm otsu algorithm Synthetic Aperture Radar (SAR)

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Robust Sea-sky-line Detection for Complex Sea Background 3

Robust Sea-sky-line Detection for Complex Sea Background

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3rd IEEE International Conference on Progress in Informatcs and Computing (IEEE PIC)

作者： Liang, Dong Zhang, Weigang Huang, Qiaozhong Yang, Fei Harbin Inst Technol Sch Comp Sci & Technol Weihai 264209 Peoples R China Shandong Univ Sch Mech Elect & Informat Engn Weihai 264200 Peoples R China

ISBN: (纸本)9781467390880

Sea-sky-line detection in complicated sea-sky background plays an important role in the long-range moving objects detection and the security of sea port. This paper presents a new method to detect the sea-sky-line. In the first step, the original image is transformed into grayscale image and the sea-sky-line region is located by using the textural features gray-level co-occurrence matrix based on texture feature. In the second step, the adaptive segmentation thresholds are obtained by the otsu algorithm, which produces a set of sea-sky-line candidate points. Finally, a simple clustering method is adopted to select appropriate points and transform them by straight line fitting. The results of experiments established on real-world sea-sky images demonstrate the effectiveness and robustness of the proposed approach.

关键词： sea-sky-line textural feature otsu algorithm linear fitting

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Human Body Fall Detection Based on the Kinect Sensor 8

Human Body Fall Detection Based on the Kinect Sensor

引用

Proceedings 2015 8 International Congress on Image and Signal Processing (CISP)

作者： Liu, Yuan Wang, Nan Lv, Chaohui Cui, Jie Commun Univ China Beijing Peoples R China

ISBN: (纸本)9781467390989

Health problems of the elderly are more and more serious with the growth of aging population. The accidents like falling down need to be paid more attention especially. Through the analysis of the existing detection methods, a more simple and rapid algorithm about human body fall detection based on the Kinect sensor is proposed in this paper. This algorithm is composed of three parts, which are moving target depth of image acquisition, processing of depth image and identification of target motion behavior. The realization of the detection algorithm is based on the depth map sequence obtained by the Kinect. The data of falling and bending are collected and compared in this experiment. And the otsu algorithm which has anti-noise performance is used to process depth map. It is conducive to the body contour extraction. After extracting the contour, the corrosion operation is used to repair the edge. Then three parameters are extracted, which are the aspect ratio of human external rectangle, the gravity center of human body and the inclination degree. Every frame image outputs aspect ratio and dip angle value. By comparing these values with the threshold, the system judges whether human falls down. The experimental results show that this algorithm is a kind of effective fall detection algorithm.

关键词： Kinect Human Fall detection otsu algorithm Shape feature extraction

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A Study on the Compensation of Image Rotation for Optical Three-Dimensional Microscope 15

A Study on the Compensation of Image Rotation for Optical Th...

引用

15th International Conference on Control, Automation and Systems (ICCAS)

作者： Choi, Yeon-Beom Kim, Jun-Ho Kim, Woo-Jun Jung, Doo-Hee Korea Polytech Univ Dept Elect Engn Gyeonggi Do 429793 South Korea Glonik Seoul 153802 South Korea

ISBN: (纸本)9788993215090

In this paper, we propose a method to correct the pechan prism table for optical three-dimensional microscope. To minimize an error in rotation angle of image for corresponding polar angle when using the calculated pechan prism table, we processed the image of reference sample to calculate the rotation angle, then create a new table. Experimental works show the validity and practicality of the proposed method.

关键词： Optical Microscope otsu algorithm Line Detect Position Control

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