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

共 654 条记录，以下是131-140 订阅

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Machine recognition of hand-drawn circuit diagrams 25

Machine recognition of hand-drawn circuit diagrams

引用

IEEE International conference on Acoustics, Speech, and Signal processing

作者： Edwards, B Chandran, v Queensland Univ Technol Sch Elect Elect & Syst Engn Brisbane Qld Australia

ISBN: (纸本)0780362934

An application of image processing techniques to recognition of hand-drawn circuit diagrams is presented. The scanned image of a diagram is pre-processed to remove noise and converted to bilevel. morphological operations are applied to obtain a clean, connected representation using thinned lines. The diagram comprises of nodes, connections and components. Nodes and components are segmented using appropriate thresholds on a spatially varying object pixel density. Connection paths are traced using a pixel-stack. Nodes are classified using syntactic analysis. Components are classified using a combination of invariant moments, scalar pixel-distribution features, and vector relationships between straight lines in polygonal representations. Node recognition accuracy of 92% and component recognition accuracy of 86% was achieved on a database comprising 107 nodes and 449 components. This recogniser can be used for layout "beautification" or to generate input code for circuit analysis and simulation packages.

关键词： Pattern recognition

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Classification-based blood vessel segmentation in retinal images 5th

Classification-based blood vessel segmentation in retinal im...

引用

5th Eccomas Thematic conference on Computational vision and Medical image processing, vipimage 2015

作者： Odstrcilik, J. Kolar, R. Harabis, v. Tornow, R.P. Brno Czech Republic Department of Biomedical Engineering Brno University of Technology Brno Czech Republic University of Erlangen–Nuremberg Department of Ophthalmology Erlangen Germany

ISBN: (纸本)9781138029262

Automatic and precise segmentation of retinal blood vessels can help in computer aided assessment of various retinal diseases, especially diseases related to cardiovascular system or glaucoma. Hence, an accurate detection of retinal vascular structures is one of the most addressed topic in the field of retinal image processing today. Most of the methods are designed directly for utilization with a special dataset only or have problems to segment blurry and noisy images. In this study, we showed that combination of three standard approaches—matched filtering, Hessian-based approach, and morphological processing, together with support vector machine classification technique, can be satisfactorily used as a universal segmentation approach in retinal images acquired using entirely different devices. © 2016 Taylor & Francis Group, London.

关键词： image classification

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Polarization-phase diagnostics of volume of blood loss 43

Polarization-phase diagnostics of volume of blood loss

引用

conference on Applications of Digital image processing XLIII

作者： Sivokorovskaya, N. Bachinsky, v vanchulyak, O. Ushenko, A. Dubolazov, A. Ushenko, Yu Tomka, Yu Bukovinian State Med Univ 3 Theatral Sq UA-58000 Chernovtsy Ukraine Chernivtsi Natl Univ 2 Kotsiubynskyi Str UA-58012 Chernovtsy Ukraine

ISBN: (数字)9781510638273

ISBN: (纸本)9781510638273

The results of a statistical analysis of the distributions of the value of the fourth parameter of the Stokes vector (hereinafter the "phase parameter" - FP) of microscopic images of histological sections of kidney tissues with parenchymal morphological structure of the dead with varying degrees of blood loss are presented.

关键词： polarization blood loss diagnostics

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A new segmentation method using watersheds on grey level images

A new segmentation method using watersheds on grey level ima...

引用

International conference on Advanced Computing and Communications

作者： Rao, A. Nagaraja Kumar, v. vijay Nagaraju, C. Univ Mysore MGNIRSA Hyderabad Andhra Pradesh India RGM Coll Engg Tech Nadyal Andhra Pradesh India

ISBN: (纸本)9781424407156

Segmentation is one of the most challenging tasks in image processing as it requires to some extent a semantic understanding of the image. The morphological segmentation paradigm, based on the watershed transform and markers has been extremely successful, both for interactive as for automatic segmentation. Though many algorithms were proposed for watersheds in the literature, but most of them are based on binary images, for finding water catchments basins. In the present study a new method of finding watersheds on grey level image is proposed on 5 X 5 and 3 X 3 masks. To count the number of watersheds on grey levels, a new scheme is proposed for selecting the height of the peak points from where water starts failing, to the central point. The algorithm is applied on human images and textures and a good segmentation is resulted. The present study compares the proposed segmentation scheme with number of watersheds taken into account on different mask sizes.

关键词： watershed binary image grey level image peak points catchments

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Segmentation and Denoising of Phase Contrast MRI image of the Aortic Lumen via Fractal and morphological processing 37

Segmentation and Denoising of Phase Contrast MRI Image of th...

引用

37th IEEE International conference on Electronics and Nanotechnology (ELNANO)

作者： Rudnitskii, A. G. Rudnytska, M. A. Inst Hydromech NASU Kiev Ukraine

ISBN: (纸本)9781538617014

Magnetic Resonance Imaging (MRI) is a non-invasive widely used modality in medical diagnosis. One of disadvantages of this method is the low signal to noise ratio (SNR) and (or) contrast to noise ratio (CNR). That's why the image analysis tasks such as segmentation, reconstruction and registration are rather complicated. So the noise reduction in MR images is very important as a pre-processing task before going to image analysis. Furthermore, two dimensional (2D) imaging is incapable to provide a sufficient understanding of the complexity of the studied objects. So there is the necessity of having a 3D computer representation of many real objects. In this paper we are presenting the denoising and segmentation techniques developed for 3D MRI based on fractal and morphological approaches.

关键词： 3D segmentation fractal dimension morphological processing phase contrast MRI

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Signal restoration by statistical soft morphology

Signal restoration by statistical soft morphology

引用

1997 IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP 97)

作者： Stringa, E Regazzoni, CS Univ of Genoa Genova Italy

ISBN: (纸本)0818679204

A new set of non linear signal and image processing operators is presented. Their definition is based on the introduction of the statistical properties of Bayesian reconstruction in soft morphological operators. Statistical soft operators represent a trade-off between the noise cleaning properties of statistical morphology and the shape preservation properties of soft morphology. The main characteristic of these operators is the individualization of two parts within each structuring element (SE) according to soft morphology (i.e. ''hard'' and ''soft'' SEs), and to define on this basis a probabilistic estimation model which is a generalization of the Statistical Morphology model. Results are presented to show that the statistical soft morphological operators can be considered robust to structured noise, i.e. noise showing both statistical (e.g. additive Gaussian noise) and morphological (e.g. noise with a particular shape) structure.

关键词： Signal processing

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Extending the Differential image Foresting Transform to Root-based Path-cost Functions with Application to Superpixel Segmentation 30

Extending the Differential Image Foresting Transform to Root...

引用

30th conference on Graphics, Patterns and images (SIBGRAPI)

作者： Condori, Marcos A. T. Cappabianco, Fabio A. M. Falcao, Alexandre X. Miranda, Paulo A. v. Univ Sao Paulo Inst Math & Stat Sao Paulo SP Brazil Univ Fed Sao Paulo Inst Ciencia & Tecnol Sao Jose Dos Campos SP Brazil Univ Estadual Campinas Inst Comp Campinas SP Brazil

ISBN: (纸本)9781538622193

The image Foresting Transform (IFT) is a general framework to develop image processing tools for a variety of tasks such as image segmentation, boundary tracking, morphological filtering, pixel clustering, among others. The Differential image Foresting Transform (DIFT) comes in handy for scenarios where multiple iterations of IFT over the same image with small modifications on the input parameters are expected, reducing the processing complexity from linear to sublinear with respect to the number of pixels. In this paper, we propose an enhanced variant of the DIFT algorithm that avoids inconsistencies, when the connectivity function is not monotonically incremental. Our algorithm works with the classical and non-classifical connectivity functions based on root position. Experiments were conducted on a superpixel task, showing a significant improvement to a state-of-the-art method.

关键词： image segmentation Transforms Cost function Graphics

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A Review on various Techniques to Overcome Constraints during image Acquisition 7

A Review on Various Techniques to Overcome Constraints durin...

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7th IEEE International conference on Communication and Signal processing, ICCSP 2018

作者： Jacintha, v. Emimajebaselvi, A. Keerthana, v. Keerthana, R. Rowshanshahana, H. Pavithra Devi, S. Ragini, R. Department of Electronics and Communication Engineering Jeppiaar Maamallan Engineering College Chennai India

ISBN: (纸本)9781538635216

The elimination of blur due to camera shake and motion of the scene is been considered as a research topic in image processing. An algorithm can be used to reduce the blur, which is capable of grouping many images, in that images less blurred image from each frame can be preferred through a weighted average in the Fourier Transform. The algorithm is simple to implement and very easy to define theoretically. To reduce the computation, complexity and to improve the quality of the image various algorithm has been proposed, which ultimately focuses on removal of blur. Irregular illumination can introduce severe distortions in the resulting images, decreasing the visibility of anatomical structures and consequently demoting the performance of the automated segmentation of these structures. There are several operators for example Prewitt, Sobel, Roberts, Canny edge detector are available, in which a mask is used as a template, that can be used to detect the edge pixels. There are various methods and algorithms such as CNN, morphological operations that are used to overcome this blur removal problem. As a result, it can be reduced and detected for several image issues. Among the operators Canny edge detector serves to be the best and for Blur correction morphological operations has proven to be the classic one. © 2018 IEEE.

关键词： Edge detection

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Automated Detection and Classification of Mass from Breast Ultrasound images 5

Automated Detection and Classification of Mass from Breast U...

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5th National conference on Computer vision, Pattern Recognition, image processing and Graphics (NCvPRIPG)

作者： Menon, Radhika v. Raha, Poulami Kothari, Shweta Chakraborty, Sumit Chakrabarti, Indrajit Karim, Rezaul IIT Kharagpur Dept E & ECE Kharagpur W Bengal India IPGMER SSKM Kolkata India CMSDH Kolkata India

ISBN: (纸本)9781467385640

This paper introduces a computer aided diagnosis (CAD) technique for segmentation of mass in breast ultrasound (BUS) images followed by an efficient classification of the image into benign or malignant one. The presence of speckle noise, low contrast and blurred boundary of mass in a BUS image makes it challenging to determine the mass, which is the region of interest (ROI) in the current work. Detecting an accurate ROI in turn results in efficient feature extraction and classification. In current work, image enhancement and speckle noise reduction are implemented for preprocessing in a simple but efficient way through filtering techniques. The results of the preprocessing stage are as effective as those obtained using traditional speckle reduction anisotropic diffusion (SRAD) algorithm. ROI is then accurately determined on preprocessed image by employing local region based active contour method. BUS images are classified through textural, morphological and histogram oriented feature metrics in this work. The obtained features are dimensionally reduced using principal component analysis (PCA) and classified through support vector machine (SvM) method. The proposed method is tested on several images and found to be very effective having an accuracy of 95.7% with very high specificity and positive predictive value (PPv).

关键词： breast ultrasound CAD active contours geometric features PCA classification SvM

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Development of software for digital image processing for analysis of neuroangiogenesis

Development of software for digital image processing for ana...

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8th Argentinean-Bioengineering-Society conference (SABI)/7th Clinical Engineering Meeting

作者： Gonzalez, M. A. Ballarin, v. L. Celin, A. R. Rapacioli, M. Lopez-Costa, J. J. Flores, v. Laboratorio de Procesos y Medición de Señales Facultad de Ingeniería UNMDP Argentina CONICET: Comisión Nacional de Investigaciones Científicas y Tecnológicas Argentina Grupo Interdisciplinario de Biología Teórica Departamento de Ciencias Bioestructurales Universidad Favaloro Argentina Instituto de Biología Celular y Neurociencias Prof. E. de Robertis U.B.A. Argentina

The process of formation, growth and distribution of vessels within the developing central nervous system is difficult to analyze due to the complexity of the paths and branches within the system. The study of images of this area poses particular problems because the high levels of noise, blurring and poor contrast often prevent the objects of interest detected correctly. The design of algorithms for digital image processing suitable for this type of imagery remains a constant challenge. The aim of this work is to develop a computer tool to assist the specialist in processing these images. This paper proposes the use of morphological grayscale reconstruction and other morphological operators in order to segment the images properly. The results show that the algorithms allow a suitable segmentation of the objects of interest. Moreover, the interface developed for processing enables easy and simple analysis of them by the specialists.

关键词： image segmentation

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