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检索条件"任意字段=Conference on Image Algebra and Morphological Image Processing V"

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SELECTIvE AND ROBUST D-DIMENSIONAL PATH OPERATORS

SELECTIVE AND ROBUST D-DIMENSIONAL PATH OPERATORS

引用

IEEE International conference on image processing

作者： F. Cokelaer M. Dalla Mura H. Talbot J. Chanussot IFP Energies nouvelles Rond-point de l'echangeur de Solaize GIPSA-Lab Grenoble Institute of Technology Universite Paris-Est Laboratoire d'Informatique Gaspard-Monge

ISBN: (纸本)9781479957521

Path operators are powerful tools for the enhancement of thin and elongated objects in an image. In order to cope with noisy acquisition a variant of the path operators was recently proposed. However, both approaches cannot properly handle thin objects with tortuous shapes since strong variations of an object curvature produce disconnections in the paths. In order to address this issue, we propose a novel operator able to properly handle paths in tortuous shapes. It relies on the coupling of attribute filters based on the geodesic tortuosity and conventional path operators. Analogously to the complete version of the path operators, by allowing disconnections within paths it is possible also to define a path operator that is both robust and selective. The effectiveness of the proposed operators in filtering thin and tortuous image objects is proved on a 2D and 3D biomedical image.

关键词： Path operators morphological algebraic operators Flexible structuring elements N-dimensional processing

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BACKGROUND EXTRACTION FROM vIDEO SEQUENCES vIA MOTION-ASSISTED MATRIX COMPLETION

BACKGROUND EXTRACTION FROM VIDEO SEQUENCES VIA MOTION-ASSIST...

引用

IEEE International conference on image processing

作者： Jingyu Yang Xin Sun Xinchen Ye Kun Li Sch. of Electron. Inf. Eng. Tianjin Univ. Tianjin China

ISBN: (纸本)9781479957521

Background extraction from video sequences is a useful and important technique in video surveillance. This paper proposes a motion-assisted matrix completion model for background extraction from video sequences. A binary motion map is first calculated for each frame by optical flow. By excluding areas associated with moving objects with the binary motion maps, the background extraction is formulated into a motion-assisted matrix completion (MAMC) problem. Experimental results show that our method not only extracts promising backgrounds but also outperforms many state-of-the-art methods in distinguishing moving objects on challenging datasets.

关键词： image sequences matrix algebra video surveillance MAMC problem background extraction binary motion map motion-assisted matrix completion model optical flow video sequences Data mining Lighting Motion detection Optical imaging video sequences video surveillance Background extraction matrix completion motion detection

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Efficient face recognition using morphological operations

Efficient face recognition using morphological operations

引用

International conference on Industrial and Information Systems, ICIIS

作者： Harendra Upraity K v Arya ABV - Indian Institute of Information Technology and Management Gwalior India

There are many applications in which morphological operations play an important role. Morphology is a very useful mathematical tool or method to be used in image processing. It has many application like edge detection and extraction form images for specific purpose, feature extraction based on the boundary information etc. It has many advantages over other image processing tools like the complete outcome of the method lies in the selection of Structure Element(SE) and sequence of operations to be used. In face recognition also it has been used but only for binary images using the square shaped SE. Compensation for hair growth and cut have been assumed to be uniform which are not in real. There are also issues in image processing like corruption, occlusion, different facial expressions, poses which are tried to be solved by this method. A proposed methodology for a biometric system is described in this work. In this work the morphological operations are used for feature extraction in face biometrics while solving the above mentioned issues. In the preprocessing basic morphological operations are performed using circular SE for denoising and smoothing image. Feature extraction is done using the existing method of sparse representation based classification. Feature matching is done using eigenfaces and after getting initial results images are treated with more morphological transformations iteratively for getting better results. Here motto is to increase the efficiency of the biometric system for better results and less computation time using morphological operations. The morphological operations used here are based on the maximum and minimum intensity values so that they can be used for grayscale images. The system is tested on a customized database made from Indian face database (IIT K) and Essex University database.

关键词： Feature extraction Databases morphological operations Face recognition Training Face Morphology

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User Intervention Based Detection & Removal of Cracks from Digitized Paintings

User Intervention Based Detection & Removal of Cracks from D...

引用

International conference on Signal and image processing (ICSIP)

作者： Shrinivas D. Desai Kavita v. Horadi P. Navaneet B. Niriksha v. Siddeshvar Dept of IS&E BVB College of Engg & Tech Hubli Karnataka India Dept of IS&E B N M Institute of Technology Bangalore India

An user intervention based advanced technique for the detection and elimination of cracks in digitized paintings and images is proposed in this paper. Usually cracks degrade the quality of painting as well as authenticity of painting becomes questionable. In the proposed method the cracks are detected by thresholding the result of the morphological top-hat transform. Further, misidentified cracks are detected either by involving user intervention or by using a semi-automatic procedure based on region growing technique. Finally, crack interpolation also called crack filling is performed using order statistics filters so as to restore the cracked image. The true positive rate and false positive rate are used to evaluate the performance of the proposed technique. We collected 2000 paintings & images classified as cracked and uncracked online digital art database for experimental purpose. The result shows achievement of true positive rate of about 98.3% at the rate of 0.1 false positive per image. This is because of providing user intervention during module called identifying mis-identified cracks.

关键词： image restoration Painting Transforms Filtering algorithms Educational institutions Interpolation Filling

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Novel Signatures for Gait Analysis Using Level Sets

Novel Signatures for Gait Analysis Using Level Sets

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International conference on Signal and image processing (ICSIP)

作者： K.v. Karthik Meghana Dinesh Kumar M.S. Sunil Rao Channabasava Nucchha Subhash Kulkarni Department of Electronics and Communication Engineering PESIT-BSC Bangalore Dept. of Electron. & Commun. Eng. PESIT-BSC Bangalore India

Gait analysis has gained prominence towards detecting suspicious activity in public area which is generally kept under surveillance. In this paper we present the results of recognizing a person based on his gait movement. Novel signatures were built through distance mapped level set contour based on boundary and skeletal information. Gait video sequence experimented upon is silhouette corresponding to 16 subjects with 50 frames per subject. Results were found to be encouraging at first level where signatures have been compared with available subjects' gait video. The robustness is tested with morphological distortions on the query image. The subject has been found to be detected with reasonable acceptance.

关键词： Level set Databases Skeleton Robustness Gait recognition Feature extraction Cameras

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A Curvelet-Based morphological Segmentation of Abdominal CT images

A Curvelet-Based Morphological Segmentation of Abdominal CT ...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： M. Sakalli T. D. Pham K. M. Lam H. Yan Dept of CSE Marmara University The University of Aizu-Wakamatsu Fukushima JP Dept of EIE The Hong Kong Polytechnic Univ. Computer Eng Dept of EE City Univ. of Hong Kong

This paper presents a segmentation methodology of abdominal axial CT images. The aim of the study is to determine the location of mesenteric area from the axial images so the organs enclosed within can be localized precisely for diagnostic purposes. The challenge confronted here is that there is no a certain deterministic shape of abdominal organs. The methodology implemented here utilizes a curvelets stage followed by morphological image processing to achieve a contour emphasized segmentation from the gestalts of surrounding organs. This paper gives a detailed analysis of approach taken with the problems faced and a brief comparison wrt to other wavelet approaches.

关键词： image segmentation Computed tomography image edge detection Dictionaries Transforms Shape Muscles

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Morphology Based Enhancement and Skull Stripping of MRI Brain images

Morphology Based Enhancement and Skull Stripping of MRI Brai...

引用

International conference on Intelligent Computing Applications (ICICA)

作者： C. C. Benson v. L. Lajish University of Calicut Thenhipalam Kerala IN

Brain is an important part of human body. Many complex human body functions are controlled by brain. Brain imaging is a widely applicable method for diagnosing many brain abnormalities like brain tumor, stroke, paralysis etc. Magnetic Resonance Imaging (MRI) is a recently emerged method for brain imaging. Two major limitations of brain MR images are low contrast image and presence of skull region in the image. So before detailed analysis of an image, as a preprocessing stage these two problems must be resolved. In this study we propose a method for MR image contrast enhancement and skull stripping based on the morphological image processing technique. The proposed method works on T1, T2 and FLAIR axial images. Experimental results show that the proposed method efficiently works for enhancing and skull removal of brain MR images.

关键词： Magnetic resonance imaging Brain Morphology Histograms Algorithm design and analysis Tumors

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Automated feature measurement for human chromosome image analysis in identifying centromere location and relative length calculation using LabvIEW

Automated feature measurement for human chromosome image ana...

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International conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

作者： B. Dhivyapriya v. vijaya Baskar Sathyabama University Chennai Tamil Nadu IN Faculty of Electrical and Electronics Sathyabama University Chennai India

Most of the ancestral disorders or naturalistic abnormalities that may be occurring in the succeeding generations can be identified through the analysis of appearance and morphological characteristics of each chromosome. Human Chromosome image analysis comprised of image preprocessing, total variation regularization, segmentation, attributes extraction, and image diagnosis. Karyotyping is the most standard procedure for analyzing and classifying the chromosomes from images of metaphase dispersion. In nonbanding framework, an artifact of the karyogram in which the autosome chromosomes are numbered from 1 to 22 in diminishing order of size and the sex chromosomes are referred as X and Y. In this paper an effective algorithm for automatically locating the centromere and determining the length of the short arm (p_arm) and long arm (q_arm) of the chromosome using LabvIEW is presented. The procedure is based on the edge coordinates profile extraction algorithm of binary image of the chromosome. The gross categorization error rate is decreased by providing the best result in identifying the type of each chromosome based on the exact location of the centromere and the length of two arms.

关键词： Biological cells image edge detection image segmentation Microscopy Signal processing algorithms Noise

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Segmentation of Cells with Inclusions In plant Cross Sectional images

Segmentation of Cells with Inclusions In plant Cross Section...

引用

IEEE International conference on Intelligent Systems and Control

作者： R. Janani A. S. v. Sarma CSIR - Central Electronics Engineering Research Institute Chennai Centre CSIR Madras Complex

ISBN: (纸本)9781479938384

Computerized analysis of microscopic cross sectional images of plant parts is useful for authentication and quality assessment of plant materials. The analysis involves segmentation of cells in the cross section, extraction of cell features and classification of cells. The segmentation of individual cells plays a major role in realistic estimation of cell parameters for identification and classification of cells. However, the segmentation of the cells is adversely influenced due to presence of cell inclusions like starch grains which are stained with different colored dyes for improved visibility. During segmentation, the stained inclusions touching the boundary of the cells result in boundary cavities which deform the shape of the segmented cells. The present paper describes an image processing technique for accurate segmentation of cells in the presence of stained cell inclusions. The proposed method corrects the shape of individual cells by identifying and selective filling of the boundary cavities resulting from stained inclusions with the help of convex image of the cells and morphological skeleton of the background region. The proposed method is demonstrated by testing a plant cross sectional image containing starch grains.

关键词： image processing Optical microscopy Plant cell segmentation Cavity filling

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Assessment of vessel Tortuosity in Retinal images of Preterm Infants

Assessment of Vessel Tortuosity in Retinal Images of Preterm...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： Faraz Oloumi Rangaraj M. Rangayyan Anna L. Ells Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary

ISBN: (纸本)9781424479276

Diagnosis of plus disease is crucial for timely treatment and management of retinopathy of prematurity. An indicator of the presence of plus disease is an increase in the tortuosity of blood vessels in the retina. In this work, we propose a new angle-variation-based measure for quantification of tortuosity in retinal fundus images of preterm infants. The methods include the use of Gabor filters to detect vessels as well as to obtain their orientation at each pixel. morphological image processing methods are used to obtain a skeleton image of the vessels for measurement of tortuosity. Out of 11 vessel segments, marked by an expert ophthalmologist as showing high levels of tortuosity due to plus disease, all were correctly identified using the proposed methods.

关键词： Diseases image segmentation Retina Retinopathy Skeleton Biomedical imaging Length measurement

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