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A new level set model for cell image segmentation

Chinese Physics B 2011年第2期20卷 568-574页

作者：马竟锋侯凯包尚联陈纯 College of Computer Science and Technology Zhejiang University Beijing Healthway Technology Limited Company Beijing Key Lab of Medical Physics and Engineering Peking University

In this paper we first determine three phases of cell images： background, cytoplasm and nucleolus according to the general physical characteristics of cell images, and then develop a variational model, based on these characteristics, to segment nucleolus and cytoplasm from their relatively complicated backgrounds. In the meantime, the preprocessing obtained information of cell images using the otsu algorithm is used to initialize the level set function in the model, which can speed up the segmentation and present satisfactory results in cell image processing.

关键词： cell image segmentation 3-phase level set otsu algorithm

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otsu Image Segmention algorithm Based on Morphology and Wavelet Transformation

Otsu Image Segmention Algorithm Based on Morphology and Wave...

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2011 3rd International Conference on Computer Research and Development(ICCRD 2011)

作者： Gui-mei Zhang Shao-ping Chen Jia-ni Liao Key Laboratory of Nondestructive Testing (Nanchang Hangkong University) Ministry of Education Foreign Studies College of Northeast University

In order to overcome the traditional otsu algorithm weakness in the complex image segmentation, a new segmentation algorithm was introduced in this paper to detect the surface defect of parts, which applied with morphology and wavelet transform into the otsu algorithm. There were two steps in the algorithm, one was segmentation target from the background and the other was segmentation defect from the target. As the first segmentation, the target image was acquired through separating the target from background image using the morphology method. Then, the monolayer wavelet coefficient was applied to separate the target image. Thirdly, the redundancy information in the image was removed by means of the low frequency-reconstruction. Finally, the one and two dimensional otsu algorithm were used to segment the defect from part surface. The experiments prove that this new algorithm has higher segmentation accuracy and better noise resistance than that of the traditional one and two dimensional otsu. Moreover, improved one-dimensional algorithm is superior to that of the two-dimensional ones.

关键词： Morphology Wavelet Transform otsu algorithm Defect Extraction

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Developing a vision-based auto-recharging system for mobile robots

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ARTIFICIAL LIFE AND ROBOTICS 2011年第1期16卷 74-77页

作者： Chien, Ting-Li Wu Feng Univ Dept Elect Engn Minxiong Taiwan

This article describes a vision-based auto-recharging system that guides a mobile robot moving toward a docking station. The system contains a docking station and a mobile robot. The docking station contains a docking structure, a control device, a charger, a safety detection device, and a wireless RF interface. The mobile robot contains a power detection module (voltage and current), an auto-switch, a wireless RF interface, a controller, and a camera. The controller of the power detection module is a Holtek chip. The docking structure is designed with one active degree of freedom and two passive degrees of freedom. For image processing, the mobile robot uses a webcam to capture a real-time image. The image signal is transmitted to the controller of the mobile robot via a USB interface. We use an otsu algorithm to calculate the distance and orientation of the docking station from the mobile robot. In the experiment, the proposed algorithm guided the mobile robot to the docking station.

关键词： Auto-recharging system Mobile robot Docking station Degrees of freedom USB interface otsu algorithm

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Develop a Vision Based Auto-recharging System for Mobile Robots

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International Conference on Frontiers of Manufacturing and Design Science (ICFMD2010)

作者： Su, Kuo-Lan Lin, Yung-Chin Liao, Yi-Lin Guo, Jr-Hung Yunlin Univ Sci & Technol Dept Elect Engn Yunlin Taiwan Yunlin Univ Sci & Technol Grad Sch Sci & Engn Technol Yunlin Taiwan

ISBN: (纸本)9783037850046

The article develops a vision based auto-recharging system for mobile robots, and programs a new docking processing to enhance successful rate. The system contains a docking station and a mobile robot. The docking station contains a docking structure, a control device, a charger and a detection device and a wireless RF interface. The mobile robot contains a power detection module (voltage and current), an auto-switch, a wireless RF interface, a control system and a camera. The docking structure is designed with one active degree of freedom and two passive degrees of freedom. The active degree of freedom can move forward to contact the recharging connect points that are arranged in the mobile robot. The two passive degrees of freedom can rotation in the Z-axis and use compression spring moving on various docking condition. In image processing, the mobile robot uses a webcam to capture the real-time image;and transmits the image signal to the computer via USB interface, and uses otsu algorithm to recognize the position of the docking station. In the experiment results, the system had been successfully guided the mobile robot moving to the docking station using the proposed method.

关键词： auto-recharging system mobile robot docking station degrees of freedom USB interface otsu algorithm

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Develop a Vision Based Auto-recharging System for Mobile Robots

Develop a Vision Based Auto-recharging System for Mobile Rob...

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16th International Symposium on Artificial Life and Robotics (AROB 16th '11)

作者： Chien, Ting-Li Wu Feng Univ Dept Elect Engn Minxiong Taiwan

ISBN: (纸本)9784990288051

The article develops a vision based auto-recharging system that guides the mobile robot moving to the docking station. The system contains a docking station and a mobile robot. The docking station contains a docking structure, a control device, a charger and a safety detection device and a wireless RF interface. The mobile robot contains a power detection module (voltage and current), an auto-switch, a wireless RF interface, a controller and a camera. The controller of the power detection module is Holtek chip. The docking structure is designed with one active degree of freedom and two passive degrees of freedom. In image processing, the mobile robot uses a webcam to capture the real-time image. The image signal transmits to the controller of the mobile robot via USB interface. We use otsu algorithm to recognize the distance and orientation of the docking station from the mobile robot. In the experiment results, the proposed method can guided the mobile robot moving to the docking station.

关键词： auto-recharging system mobile robot docking station degrees of freedom USB interface otsu algorithm

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A Shadow Elimination algorithm for Vehicle Detection by Merging Projection Features and HSV Color Space

A Shadow Elimination Algorithm for Vehicle Detection by Merg...

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2011 IEEE International Conference Mechatronics and Automation(2011 IEEE机电一体化与自动化国际会议)

作者： Wu Haijun Xin Le Chen Yangzhou College of Electronics Information and Control Engineering Beijing University of Technology Chaoyang District. Beijing China

This paper presents a novel algorithm based on projector features to eliminate dynamic shadow. Through the projected image, this method will split the vehicle, and extract the single-vehicle image. Then using the gradient projection separates regions of shadow and vehicle. Effect of shadow elimination of the algorithm is better, and separated image of vehicles has not holes. In addition, this paper improves the algorithm of shadow elimination based HSV color space by optimizing the Ostu algorithm. Using merging algorithm integrates these two algorithms to further improve the effect of shadow elimination. And performance of the algorithm is more accurate description by using performance parameters of F.

关键词： HSV color space projection features otsu algorithm performance parameters

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Study on a Robust Approach of Lane departure Warning Algrithm

Study on a Robust Approach of Lane departure Warning Algrith...

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2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

作者： Houjie Xu Huifang Li School of Electronics and Information Northwestem Polytechnical University Xi'an China

Traffic lane detection technology has attracted increasing attention in fiejd of autonomous driving. After analyzing the characteristic of the images of the traffic lane, a robust approach was studied based on lane recognition. The adaptive threshold based on otsu algorithm was used for different illumination demands during image preprocessing. Lanes were then detected by Hough Transformation. In lane traclong, the region of interest was established with parameters through the Kalman predictor. Then lanes were searched in the region. At last, the lane departure wanrning module was added to the algorithm according to the distance between the vehicle and the lane. Experiment results indicate that the algorithm has good robustness and efficiency.

关键词： Lane detection arrd tracking otsu algorithm Hough transformation Kalman predictor Lane departure warning

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An Effective Method for Traffic Signs Segmentation

An Effective Method for Traffic Signs Segmentation

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International Conference on Intelligent Human-Machine Systems and Cybernetics

作者： Hu, Mudan Zhu, Shuangdong Chen, Ken Ningbo Univ Coll Informat Sci & Engn Ningbo Zhejiang Peoples R China

ISBN: (纸本)9780769537528

An effective method for traffic sign segmentation is proposed. Through the selection of appropriate characteristic operator on the basis of the distinctive color features of traffic sign, it first quickly obtains gray image of chromatic aberration. Then, the otsu's thresholding algorithm is subsequently applied to locate accurately the candidate regions of the traffic sign. The experimental result shows that the proposed algorithm can extract the traffic sign from the background well up to the technical standards under various natural illuminating conditions, and the segmentation effect is superior to that performed by the generic segmentation with steady threshold, and the performance in shape checking is thus improved. The presented approach is featured in good robustness, high speed, and as a result can be potentially applied to the real-time processing and commercialization.

关键词： traffic sign RGB model chromatic aberration image segmentation otsu algorithm

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Unsupervised image segmentation using automated fuzzy c-means

Unsupervised image segmentation using automated fuzzy c-mean...

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7th IEEE International Conference on Computer and Information Technology

作者： Sahaphong, Supatra Hiransakolwong, Nualsawat King Mongkuts Inst Technol Ladkrabang Fac Sci Dept Math & Comp Sci Bangkok 10520 Thailand

ISBN: (纸本)9780769529837

An unsupervised fuzzy clustering technique, Fuzzy c-means (FCM) clustering algorithm has been widely used in image segmentation. However, the conventional FCM algorithm must be estimated by expertise users to determine the cluster numbers. To overcome the limitation of FCM algorithm, an automated fuzzy c-mean (AFCM) algorithm is presented in this paper. The proposed algorithm initiates the first two centroids of clusters by a method based on otsu algorithm and automatically determines the appropriate cluster number for image segmentation. The performance of the proposed technique has been tested with reference to conventional FCM. The experimental results demonstrate that AFCM can spontaneously estimate the appropriate number of clusters and its performance is faster convergence than the performance of the conventional FCM.

关键词： Clustering Fuzzy c-means Image segmentation otsu algorithm

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Lesion identification from scintimammography breast images

Lesion identification from scintimammography breast images

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10th Annual Conference on Visualization and Data Analysis

作者： Tallapally, N Sundaram, R Coover, LR Gannon Univ Dept Elect & Comp Engn Erie PA 16541 USA

ISBN: (纸本)0819448095

The identification and localization of lesions in scintimammography breast images is a crucial stage in the early detection of cancer. Scintimammography breast images are obtained using a small, high-resolution breast-specific Gamma Camera (e.g. LumaGEM(TM) Gamma Ray Camera, Gamma Medica Instruments, Northridge, CA). The resulting images contain information about possible lesions but they are very noisy. This requires a robust image segmentation algorithm to accurately contour the region should it exist. The algorithm must perform robust localization, minimize the misclassifications, and lead to efficient practical implementations despite the influence of blurring and the presence of noise. This paper discusses and implements a robust spatial domain algorithm known as the otsu algorithm for automatic selection of threshold level from the image histogram and to detect and contour objects/regions in grayscale digital images. Specifically, this paper develops the algorithm that is used to identify cancerous lesions in breast images. There are two primary objectives of this paper. First, to design and implement a contour detection algorithm suitable for the constraints posed by scintimammography breast images, and secondly, to provide the physician with a Graphical User Interface (GUI) which facilitates the visualization and classification of the images.

关键词： image segmentation otsu algorithm lesion localization graphical user interface scintimammography

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