检索结果-内蒙古大学图书馆

Enhancement of thermographic images of composite laminates for debond detection: An approach based on Gabor filter and watershed

引用

NDT & E INTERNATIONAL 2019年 103卷 68-76页

作者： Sreeshan, K. Dinesh, R. Renji, K. UR Rao Satellite Ctr Struct Grp Bangalore Karnataka India Bharathiar Univ Coimbatore Tamil Nadu India Jain Univ Dept ISE Bangalore Karnataka India UR Rao Satellite Ctr Adv Technol Dev Grp Bangalore Karnataka India

Spacecraft structures use materials which require high stiffness and low mass. Subjected to high thermal and acoustic loads, their health is of utmost importance. These structures are vulnerable to debonding and delaminations which are identified as defects. Non-destructive way of inspecting these components is very essential to detect the debonding defects. Debond defects are not visible to naked eyes and hence conventional optical cameras will not serve the purpose of automating inspection. For this purpose, we have used thermography. Passing the thermographic images through stages like enhancement, segmentation and feature extraction by using techniques like watershed segmentation, active contours and texture classification through Gabor filter are attempted in this study. Defects are brought out which help in taking corrective steps to avoid failure of the materials during actual life of the spacecraft.

关键词： Active contours Feature extraction Gabor filter Noise removal Thermal imaging watershed algorithm

来源：评论

学校读者我要写书评

暂无评论

Adaptive striping watershed segmentation method for processing microscopic images of overlapping irregular-shaped and multicentre particles

引用

JOURNAL OF MICROSCOPY 2015年第1期258卷 6-12页

作者： Xiao, X. Bai, B. Xu, N. Wu, K. Tsinghua Univ State Key Lab Precis Measurement Technol & Instru Dept Precis Instrument Beijing 100084 Peoples R China Tsinghua Univ Shenzhen Grad Sch Shenzhen 518057 Peoples R China

Oversegmentation is a major drawback of the morphological watershed algorithm. Here, we study and reveal that the oversegmentation is not only because of the irregular shapes of the particle images, which people are familiar with, but also because of some particles, such as ellipses, with more than one centre. A new parameter, the striping level, is introduced and the criterion for striping parameter is built to help find the right markers prior to segmentation. An adaptive striping watershed algorithm is established by applying a procedure, called the marker searching algorithm, to find the markers, which can effectively suppress the oversegmentation. The effectiveness of the proposed method is validated by analysing some typical particle images including the images of gold nanorod ensembles.

关键词： Image processing particle image segmentation watershed algorithm

来源：评论

学校读者我要写书评

暂无评论

Automatic watershed segmentation of randomly textured color images

引用

IEEE TRANSACTIONS ON IMAGE PROCESSING 1997年第11期6卷 1530-1544页

作者： Shafarenko, L Petrou, M Kittler, J Dept. of Electron. & Electr. Eng. Surrey Univ. Guildford

A new method is proposed for processing randomly textured color images, The method is based on a bottom-up segmentation algorithm that takes into consideration both color and texture properties of the image, An LUV gradient is introduced, which provides both a color similarity measure and a basis for applying the watershed transform, The patches of watershed mosaic are merged according to their color contrast until a termination criterion is met, This criterion is based on the topology of the typical processed image, The resulting algorithm does not require any additional information, be it various thresholds, marker extraction rules, and suchlike, thus being suitable for automatic processing of color images, The algorithm is demonstrated within the framework of the problem of automatic granite inspection, The segmentation procedure has been found to be very robust, producing good results not only on granite images, but on the wide range of other noisy color images as well, subject to the termination criterion.

关键词： color texture image segmentation watershed algorithm

来源：评论

学校读者我要写书评

暂无评论

Comments on "Geodesic saliency of watershed contours and hierarchical segmentation"

引用

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1998年第7期20卷 762-763页

作者： Lemarechal, C Fjortoft, R Marthon, P Cubero-Castan, E CNRS INP UMRIRITENSEEIHTLIMA F-31071 Toulouse France French Space Agcy CNES DGA T SH QTIS F-31401 Toulouse France

In a recent paper on morphological image segmentation [1], Najman and Schmitt introduce the powerful concept of edge dynamics. In this communication, we show that the method that they propose to compute the edge dynamics gives erroneous results for certain spatial configurations, and we propose a new algorithm which always yields correct edge dynamics.

关键词： hierarchical segmentation watershed algorithm basin dynamics edge dynamics

来源：评论

学校读者我要写书评

暂无评论

watershed-based segmentation of 3D MR data for volume quantization

引用

MAGNETIC RESONANCE IMAGING 1997年第6期15卷 679-688页

作者： Sijbers, J Scheunders, P Verhoye, M VanderLinden, A vanDyck, D Raman, E Biomedical Physics Department of Physics University of Antwerp Groenenborgerlaan 171 2020 Antwerpen Belgium Vision Lab Department of Physics University of Antwerp Groenenborgerlaan 171 2020 Antwerpen Belgium Bio-Imaging Lab Department of Physics University of Antwerp Groenenborgerlaan 171 2020 Antwerpen Belgium

The aim of this work is the development of a semiautomatic segmentation technique for efficient and accurate volume quantization of Magnetic Resonance (MR) data, The proposed technique uses a 3D variant of Vincent and Soilles immersion-based watershed algorithm that is applied to the gradient magnitude of the MR data and that produces small volume primitives, The known drawback of the watershed algorithm, oversegmentation, is strongly reduced by a priori application of a 3D adaptive anisotropic diffusion filter to the MR data, Furthermore, oversegmentation is a posteriori reduced by properly merging small volume primitives that have similar gray level distributions, The outcome of the preceding image processing steps is presented to the user for manual segmentation. Through selection of volume primitives, the user quickly segments the first slice, which contains the object of interest, Afterwards, the subsequent slices are automatically segmented by extrapolation, Segmentation results are contingently manually corrected, The proposed segmentation technique is tested on phantom objects, where segmentation errors less than 2% are observed, In addition, the technique is demonstrated on 3D MR data of the mouse head from which the cerebellum is extracted, Volumes of the mouse cerebellum and the mouse brains in tote are calculated. (C) 1997 Elsevier Science Inc.

关键词： 3D segmentation watershed algorithm volume quantization MR imaging

来源：评论

学校读者我要写书评

暂无评论

Ore Image Segmentation Method Based on U-Net and watershed

引用

Computers, Materials & Continua 2020年第10期65卷 563-578页

作者： Hui Li Chengwei Pan Ziyi Chen Aziguli Wulamu Alan Yang School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing100083China Amphenol AssembleTech Houston77070USA

Ore image segmentation is a key step in an ore grain size analysis based on image *** traditional segmentation methods do not deal with ore textures and shadows in ore images well Those methods often suffer from under-segmentation and *** this article,in order to solve the problem,an ore image segmentation method based on U-Net is *** adjust the structure of U-Net to speed up the processing,and we modify the loss function to enhance the generalization of the *** the collection of the ore image,we design the annotation standard and train the network with the annotated ***,the marked watershed algorithm is used to segment the adhesion *** experimental results show that the proposed method has the characteristics of fast speed,strong robustness and high *** has great practical value to the actual ore grain statistical task.

关键词： Image segmentation ore grain size U-Net watershed algorithm

来源：评论

学校读者我要写书评

暂无评论

Level Set-based CT Liver Image Segmentation with watershed and Artificial Neural Networks

Level Set-based CT Liver Image Segmentation with Watershed a...

引用

12th International Conference on Hybrid Intelligent Systems (HIS)

作者： Zidan, Abdalla Ghali, Neveen I. Hassanien, Aboul Ella Hefny, Hesham Cairo Univ Inst Stat Studies & Res Cairo Egypt Al Azhar Univ Fac Sci Cairo Egypt Cairo Univ Fac Comp & Informat Cairo Egypt

ISBN: (纸本)9781467351157;9781467351164

The objective of this paper is to evaluate a new combined approach intended for reliable CT liver image segmentation, to separate the liver from other organs, and segment the liver into a set of regions of interest (ROIs). The approach combines the level set with watershed approach used as post segmentation step to produce a reliable segmentation result. Features of first order statistics and grey-level co-occurrence matrix, are calculated and passed to an artificial neural network, to be trained and to classify infected regions. Filtering is used before the segmentation approach to enhance contrast, remove noise and emphasize certain features, as well as connecting ribs around the liver. To evaluate the performance of presented approach, we performed many tests on different CT liver images. The experimental results obtained, show that the overall accuracy offered by the proposed approach is 92.1% in segmenting CT liver images into set of regions even with noise, and 88.9% average accuracy for neural network classification.

关键词： Level set watershed algorithm filtering segmentation

来源：评论

学校读者我要写书评

暂无评论

watershed segmentation of high resolution magnetic resonance images of articular cartilage of the knee

Watershed segmentation of high resolution magnetic resonance...

引用

22nd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Ghosh, S Beuf, O Ries, M Lane, NE Steinbach, LS Link, TM Majumdar, S Univ Calif San Francisco Bioengn Grad Grp San Francisco CA 94143 USA

ISBN: (纸本)078036466X

High-resolution in-vivo Magnetic Resonance Imaging (MRI) can be used effectively to determine variation in cartilage morphometry - a crucial parameter for assessment of osaeoarthritis, Segmentation of cartilage from surrounding tissues is a necessary preliminary step to the quantitation process. In this in-vivo study we implement the immersion based watershed algorithm to develop a novel and reliable cartilage segmentation technique. The protocol has been successfully applied to determine morphometric differences among normal, mild and severe osteoarthritic patient populations.

关键词： image segmentation watershed algorithm articular cartilage magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

A study on individual tree segmentation from orchard point cloud data using watershed method 62

A study on individual tree segmentation from orchard point c...

引用

62nd Annual Conference of the Society-of-Instrument-and-Control-Engineers (SICE)

作者： Suehiro, Inori Kurihara, Toru Hamada, Kazutoshi Kochi Univ Technol Sch Informat Kochi Japan Kochi Univ Fac Agr & Marine Sci Kochi Japan

ISBN: (纸本)9784907764807

To manage fruit trees, leaf-to-fruit ratio, which is ratio of leaf number and fruit number, is important index. However, while there have been many attempts to count the number of fruits using deep learning, there have been few attempts to estimate the number of leaves. In order to reduce the runtime of the leaf count estimation method using orchard point cloud data, this study examines individual tree segmentation using the watershed method. At first, after projecting the point cloud onto the ground surface, an observed area is divided into blocks to find the highest point in the block and generate a tree height map. In the next, a watershed method is applied to the image to segment individual trees. Compared to the conventional method, the time reduction was 40% for data with a voxel size of 0.05 m and 98% for data with a voxel size of 0.01 m. In the future, we plan to develop noise reduction methods and seed value setting for watershed adapted to orchard characteristics.

关键词： pattern measurement smart agriculture leaf-to-fruit ratio point cloud data watershed algorithm

来源：评论

学校读者我要写书评

暂无评论

Hybrid Segmentation Technique Using Wavelet Packet and watershed Transform for Medical Images 1st

Hybrid Segmentation Technique Using Wavelet Packet and Water...

引用

1st International Conference on Advances in Computing and Data Sciences (ICACDS)

作者： RajMohan, K. Thirugnanam, G. Mangaiyarkarasi, P. Annamalai Univ Dept Elect & Instrumentat Engn Chidambaram Tamil Nadu India

ISBN: (纸本)9789811054273;9789811054266

Image segmentation is necessary but significant element in less intensity image investigation, pattern recognition, and in robotic systems. It is one of the most complex and demanding tasks in image processing. Image segmentation is the process of separating an image into various regions such that each region is identical. This paper proposes a new medical image segmentation method that integrates multi-resolution wavelet packet decomposition with the watershed transform for MRI image. The wavelet packet transform (WPT) is applied to the input image, creating detail and approximation coefficients. If watershed technique alone is used for segmentation, then over cluster is present. To overcome this, the proposed technique which combines wavelet packet and watershed algorithm is developed. First, the wavelet packet transform is applied to produce multi-resolution images, followed by applying watershed for segmentation to the approximation sub-bands. Finally, Inverse WPT is implemented to obtain the segmented image. Due to wavelet packet decomposition, the quantity of the disturbance can be decreased and leads to a tough segmentation. This proposed work concludes that wavelet packet and watershed transform facilitate to get the elevated precision even in strident images.

关键词： Magnetic resonance imaging Wavelet packet transform watershed algorithm Image segmentation

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：