检索结果-内蒙古大学图书馆

第30届中国控制与决策会议

作者： Liang Zhang Wenguang Luo Yani Xu School of Electrical and Information Engineering Guangxi University of Science and Technology

In order to solve the problem of over-segmentation of bridge fractures by the watershed algorithm, an improved watershed segmentation algorithm based on threshold marker is proposed. Firstly, the original gradient image is obtained from the gray image by using morphological operation, and the second-order Butterworth low-pass filtering is performed on the original gradient image to obtain the low-frequency component of the gradient image. And then apply the best threshold for the use of Otsu method to be applied to the morphological extended minimum transform technique, and the technique is used to extract the local minimum value which is highly correlated with the bridge crack feature information from the low frequency components of the gradient image;Finally, the original gradient image is used to compose the minimum gradient of the original gradient image to obtain the modified gradient image, and watershed segmentation is performed on these gradient images. The experimental results show that the crack image of the bridge is accurate and clear, and the over-segmentation phenomenon is effectively reduced.

关键词： Bridge Crack watershed algorithm Butterworth Low-pass Filter Over-segmentation Local Minimum

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A Method based on watershed algorithm for Core Particles Image Segmentation

A Method based on Watershed Algorithm for Core Particles Ima...

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2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010

作者： Huang qi-kun College of computer science Yangtze University Jingzhou China.Zhou yun-cai College of computer science Yangtze University Jingzhou,China.

The watershed algorithm is the method of choice for image segmentation in the field of mathematical morphology,which is run simple good performance and can better extract the contour of moving *** paper used the watershed algorithm definition by immersion,and modify it,achieved good results after apply to core particles image *** show that the method of watershed algorithm definition by immersion can meet the core particles image segmentation on both speed and effectiveness.

关键词： watershed algorithm mathematical morphology core particles image image segmentation

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Segmentation of Cotton Leaves Based on Improved watershed algorithm

Segmentation of Cotton Leaves Based on Improved Watershed Al...

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The 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA 2015)

作者： Chong Niu Han Li Yuguang Niu Zengchan Zhou Yunlong Bu Wengang Zheng College of Information Engineering Taiyuan University of Technology Beijing Research Center for Information Technology in Agriculture National Engineering Research Center for Information Technology in Agriculture Beijing Academy of Agriculture and Forestry Sciences Beijing Kingpeng International Hi-Tech Corporation

ISBN: (纸本)9783319483566

Crop leaf segmentation was one important research content in agricultural machine vision applications. In order to study and solve the segmentation problem of occlusive leaves, an improved watershed algorithm was proposed in this paper. Firstly, the color threshold component(G-R)/(G+R) was used to extract the green component of the cotton leaf image and remove the shadow and invalid background. Then the lifting wavelet algorithm and Canny operator were applied to extract the edge of the pre-processed image to extract cotton leaf region and enhance the leaf edge. Finally, the image of the leaf was labeled with morphological methods to improve the traditional watershed algorithm. By comparing the cotton leaf area segmented using the proposed algorithm with the manually extracted cotton leaf area, successful rates for all the images were higher than 97 %. The results not only demonstrated the effectiveness of the algorithm, but also laid the foundation for the construction of cotton growth monitoring system.

关键词： Machine vision Image segmentation Lifting wavelet watershed algorithm robot vision image segmentation Cotton foliage segmentation Segmentation watershed watersheds images Canny edge detector algorithms occlusion

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Building Segmentation in Mountainous Environment Based on Improved watershed algorithm 19

Building Segmentation in Mountainous Environment Based on Im...

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Proceedings of the 3rd International Conference on Video and Image Processing

作者： Huien Shi Wentao Fu Jianhua Huang Guilin University of Electronic Technology Guilin China

ISBN: (纸本)9781450376822

Making full use of satellite remote sensing technology to analyze and study high-resolution remote sensing images is helpful to the efficient supervision of urban land use. However, the segmentation and extraction of building boundary in mountainous area has always been a difficult problem to be solved. Therefore, it is particularly important to carry out the research on the segmentation and extraction of building boundary in mountainous area. In this paper, based on the traditional watershed algorithm, the gray image gradient operator and morpho-logical opening and closing operation are combined to improve the accuracy of image segmentation in mountainous area, and the experimental results are quantified by structural similarity to verify the improved algorithm watershed algorithm is superior to traditional water-shed algorithm in building segmentation accuracy of high-resolution remote sensing image in multi mountainous area.

关键词： watershed algorithm image segmentation Remote sensing image mountainous area morphology

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The Green Fluorescence Image Segmentation With The Combination of HSV Model and watershed algorithm

The Green Fluorescence Image Segmentation With The Combinati...

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2015 6th IEEE International Conference on Software Engineering and Service Science(ICSESS 2015)

作者： Chengjia Yang Xiongfei Li College of Computer Science and Technology Jilin University Network Information Center Jilin Jianzhu University

To solve the problem of extracting the features of green fluorescent protein image, this paper proposes a method of combining a HSV model with watershed algorithm. This article based on the HSV color model, make full use of the color and brightness of image, by setting the brightness of the threshold to deal the image with binarization processing, then travel through the median filter to deal the noise of the image, finally uses the mathematical morphology watershed algorithm to realize the separation of target and background. We can prove that this algorithm has achieved very good results.

关键词： HSV color space watershed algorithm Green Fluorescent Protein

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Automatic Segmentation Method of Touching Corn Kernels in Digital Image Based on Improved watershed algorithm

Automatic Segmentation Method of Touching Corn Kernels in Di...

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2011 International Conference on New Technology of Agricultural Engineering(ICAE 2011)

作者： Quan Longzhe Engineering College of Engineering Northeast Agricultural University Harbin,china Jiang Enchen Engineering College of Engineering Northeast Agricultural University Harbin,china

in order to separate touching corn kernels in digital image,this paper made the improvement to the watershed algorithm,this improved method can resolve the problems of 'algorithm-over-segmentation'and'leakage',and realized automatic segmentation of touching corn ***,in order to get the pretreatment image,Wiener filter and mathematical morphology were adopted to reduce noises and clarify background of the image;secondly,by combining with tow edge detection operators,the boundary of touching corn kernels was determined in the image,which can serve as watershed of the algorithm;thirdly,erode transform was used to construct basin of the algorithm;at last,the algorithm of purifying image background was proposed,solving the problem of'leakage'.The results of experiment showed that the correction rate of segmentation is 94%by this automatic segmentation method.

关键词： corn kernels Touching automatic segmentation method watershed algorithm

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Region-based Moving Shadow Detection Using watershed algorithm

Region-based Moving Shadow Detection Using Watershed Algorit...

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International Symposium on Computer, Consumer and Control

作者： Jin Gao Jiangyan Dai Peng Zhang School of Computer Engineering Weifang University

ISBN: (纸本)9781509030729

Moving shadow detection is an important task in computer vision, with applications several fields, such as surveillance, video conference, visual tracking and object recognition. In this paper, we present a Spatio-Temporal based Moving Shadow Detection (STMSD) method, The main idea is: according to the gradient change of current image, we utilize the watershed algorithm to achieve adaptive segmentation foreground sub-regions;Then, the changes in texture of adjacent video frames and current video frame and background are extracted, and each sub-region is classified in terms of texture feature to obtain the final moving shadow and target area. Extensive experiments demonstrate that STMSD is superior to some well-known methods especially pixel-based methods. Especially, our method exhibits much better performance compared with fixed block method, which can maintain the texture consistency in one region adequately.

关键词： Moving shadow detection Spatio-Temporal Region-based detection Pixel-based detection watershed algorithm

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An Image Automatic Registration Approach Based on watershed algorithm

An Image Automatic Registration Approach Based on Watershed ...

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2012 3rd International Conference on Information Technology for Manufacturing Systems(ITMS 2012)

作者： Wang Dong Tang Qing-hui Chen Ge College of Information Science and Engineering Ocean University of China

A new image registration method is proposed in this paper. Most microscopic images, such as concrete surface, have not obvious features which most image registration method can depend on. Firstly contours of different color area are extracted automatically with improved watershed algorithm. Then centroid of these contours is used to obtain transformation matrix between two adjacent images. Experiment shows, this method can solve the registration problem in image mosaics very well.

关键词： watershed algorithm Image mosaics Patch-based match image registration

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A Method of Slant Correction of Vehicle License Plate Based on watershed algorithm

A Method of Slant Correction of Vehicle License Plate Based ...

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2010 The 2nd International Conference on Industrial Mechatronics and Automation (ICIMA 2010)

作者： Ruliang Zhang,Yongwu Wu,Yong Zhang Department of Mathematics and Computer Science,Guizhou Nationality College,Guiyang,550025,China

In a vehicle license plate recognition system,slant vehicle license plate has a bad effect on the character segmentation and recognition.A method of slant correction of vehicle license plate is proposed in this *** method consists of five main stages:(1) the extraction of the boundaries of characters using watershed algorithm;(2) dividing the boundaries of vehicle license plate into small segments using vertical differential method;(3) connection of the fracture characters using expansion and corrosion;(4) computing centroids of the left and the right part in the vehicle license plate respectively;(5) finding the slant angle by means of two *** results show that the error rate of using the method is 6.13%,which is lower than that of the principal component *** running time of using this method is less than that of Hough *** method improves accuracy of the slant correction.

关键词： slant correction of vehicle license plate watershed algorithm centroid expansion corrosion

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A multichannel watershed-based algorithm for supervised texture segmentation

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PATTERN RECOGNITION LETTERS 2003年第9-10期24卷 1545-1554页

作者： Malpica, N Ortuño, JE Santos, A Univ Politecn Madrid Dept Ingn Elect E-28040 Madrid Spain

Segmentation of image regions based on their texture is a standard problem in image analysis. Once a set of texture features is selected, several algorithms can be applied to segment the image into regions. This paper presents an extension of the watershed algorithm using a vector gradient and multivariate region merging methods. The algorithm uses a set of texture images, and it only depends on an adjustable parameter. Results are presented on a standard set of synthetic images and on textured medical ones, using different texture parameters and merging criteria. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： texture segmentation watershed algorithm multichannel information

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