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

共 656 条记录，以下是251-260 订阅

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A PARALLEL, O(N) ALGORITHM FOR UNBIASED, THIN WATERSHED

A PARALLEL, O(N) ALGORITHM FOR UNBIASED, THIN WATERSHED

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IEEE International conference on image processing

作者： T. Chabardes P. Dokladal M. Faessel M. Bilodeau PSL Research University - MINES ParisTech CMM Center for Mathematical Morphology 35 rue Saint Honore - Fontainebleau France

ISBN: (纸本)9781467399623

The watershed transform is a powerful tool for morphological segmentation. Most common implementations of this method involve a strict hierarchy on gray tones in processing the pixels composing an image. Those dependencies complexify the efficient use of modern computational architectures. This paper aims at answering this problem by introducing a new way of simulating the waterflood that alleviates the sequential nature of hierachical queue propagation. Simultaneous and disorderly growth is made possible using this method. higher speed is reached and bigger data volume can be processed. Experimental results show that the algorithm is accurate and produces a thin, well centered watershed line.

关键词： Transforms image reconstruction Morphology Computer architecture Lakes Floods Coordinate measuring machines

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Characterisation of nanoparticles by means of high-resolution SEM/EDS in transmission mode 14

Characterisation of nanoparticles by means of high-resolutio...

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14th European Workshop of the European-Microbeam-Analysis-Society on Modern Developments and Applications in Microbeam Analysis (EMAS)

作者： Hodoroaba, v-D Rades, S. Salge, T. Mielke, J. Ortel, E. Schmidt, R. BAM Fed Inst Mat Res & Testing Unter Eichen 87 D-12205 Berlin Germany Core Res Labs Nat Hist Museum Cromwell Rd London SW7 5BD England Hitachi High Technol Europe Europk Fichtenhain 12A D-47807 Krefeld Germany

Advances in scanning electron microscopy (SEM) enable the high-resolution imaging of single nanoparticles (NPs) with sizes well below 10 nm. The SEM analysis in transmission mode (T-SEM) of NPs on thin film supports has many benefits when compared to the analysis of NPs on bulk substrates. The enhanced material (mass -thickness) contrast of the T-SEM imaging mode is well suited for in-depth and, particularly valuable, to very accurate, traceable, lateral dimensional measurements of NPs. Compared to samples prepared on bulk substrates, T-SEM with energy dispersive X-ray spectroscopy (EDS) achieves a drastically improved spatial resolution of the emitted X-rays. The poor signal-to-noise ratio of the X-ray spectra emitted by a single nanoparticle (NP) can be improved by the use of high-sensitivity (high collection solid angle) silicon drift (SDD), energy-dispersive X-ray spectrometers (EDS). The EDS spectral imaging of a single NP with a spatial resolution below 10 nm has become possible. This is demonstrated by means of various examples of nanostructures. Advanced data processing of T-SEM/EDS results sets the stage for the automated classification of NPs by feature analysis. This method combines the detection of morphological structures of interest by image processing of T-SEM micrographs with the chemical classification by EDS.

关键词： Energy dispersive spectroscopy

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Recognition and analysis of Tamil inscriptions and mapping using image processing techniques

Recognition and analysis of Tamil inscriptions and mapping u...

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International conference on Science Technology Engineering and Management (ICONSTEM)

作者： G. Janani v. vishalini P. Mohan Kumar Department of Information Technology Jeppiaar Engineering College Chennai

ISBN: (纸本)9781509017072

The most important necessity in image processing lies in the conversion of ancient Tamil characters to modern text. The ancient Tamil stone inscriptions are the source for these ancient Tamil characters. Analysing and Recognising the ancient Tamil characters from the scripts called inscriptions is a difficult task for the present generation who learn to educate, read and write only through the modern Tamil characters. Learning the elaboration of Modern Tamil from ancient Tamil inscriptions is a time devouring process and thus we need a recognition system that helps to teach, understand and also to research the ancient cultures and heritages. To design a good comprehend and better analysing system we propose a method called noise removal which is also called as pre-processing which removes the entire disturbance in the input image. Next we use a method called morphological operation to perform dilation and erosion operations. Next step is to use the connected component to find the letters which are present in the binary image. Finally we will segment each and every character and match it with our current Tamil language using a process called correlation matching to produce the result of matching characters.

关键词： image segmentation Feature extraction Character recognition Wiener filters image recognition morphological operations Interpolation

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Underwater image restoration using single color channel prior

Underwater image restoration using single color channel prio...

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International conference on Signal and Information processing (IConSIP)

作者： Samarth Borkar S. v. Bonde Department of Electronics and Telecommunication Engineering S.G.G.S. Institute of Engineering and Technology Nanded Maharashtra India

ISBN: (纸本)9781509015238

Recovering dehazed image from the single underwater image has always been a challenging task. Inspired from dark channel prior, we extend it further to dehaze the underwater images using a single color channel. The red color component undergoes maximum attenuation on account of the longest wavelength and dominates the dark channel prior in the underwater scenario. We developed the algorithm based on the red color channel, and obtained depth map using morphological operation. The proposed approach significantly restores the color, minimizes the effect of haze and improves the contrast. Experimental results based on qualitative and quantitative analysis exhibits that the proposed method performs efficiently as compared to existing dehazing algorithms.

关键词： image color analysis Attenuation image restoration image edge detection Entropy Mathematical model

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DEPTH GUIDED image COMPLETION FOR STRUCTURE AND TEXTURE SYNTHESIS

DEPTH GUIDED IMAGE COMPLETION FOR STRUCTURE AND TEXTURE SYNT...

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IEEE International conference on Acoustics, Speech and Signal processing

作者： Michael Ciotta Dimitrios Androutsos Department of Electrical & Computer Engineering Ryerson University 350 Victoria Street Toronto Ontario Canada

ISBN: (纸本)9781479999897

This paper presents a method that separates the image completion process into structure and texture synthesis. A method is first introduced for completing the respective depth map through the use of a morphological diffusion-based operation, ensuring that structure is propagated smoothly across the unwanted region. These estimated depth values are then used to guide completion of the missing color image texture. A fast exemplar based PatchMatch approach is adopted and an extension of the coherence-based objective function introduced by Wexler et al. is used to complete the resulting texture in both the color and depth images. Finally, we provide experimental results to demonstrate the superiority of our method against others in a variety of different scenes.

关键词： image inpainting image completion optimization restoration texture analysis

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ENvIRONMENTAL MICROORGANISM image RETRIEvAL USING MULTIPLE COLOUR CHANNELS FUSION AND PARTICLE SWARM OPTIMISATION

ENVIRONMENTAL MICROORGANISM IMAGE RETRIEVAL USING MULTIPLE C...

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IEEE International conference on image processing

作者： Yanling Zou Chen Li Kimiaki Shirahama Tao Jiang Marcin Grzegorzek Chengdu University of Information Technology China Pattern Recognition Group University of Siegen Germany

ISBN: (纸本)9781467399623

Environmental Microorganisms (EMs) are very diverse and live in every part of the biosphere (rivers, forests, mountains, etc.), playing critical roles in earth's biogeochemical cycles as they are responsible for the decomposition of waste. Currently, a lot of manual efforts through morphological analysis using microscopes have been put on looking for EMs;however, these methods are expensive and time-consuming. To enhance the effectiveness of EM information search, we propose a Content-based image Retrieval approach by using multiple colour channels fusion and Particle Swarm Optimisation (PSO). First, a microorganism image is decomposed into different colour channels for a more discriminative and eventual representation. Then we extract SIFT features and compute the similarity between a query image and EM database images in terms of each colour channel. Finally, PSO is applied to launch weights fusion and obtain the final retrieval result, because it provides a valid space exploration function. Experiments on our EM dataset show the advantage of the proposed multiple colour channels fusion method over each single channel result.

关键词： image color analysis Feature extraction Microorganisms image retrieval Microscopy Shape Optimization

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vOLUMETRIC RECONSTRUCTION OF CRANIOFACIAL STRUCTURES FROM 2D LATERAL CEPHALOGRAMS BY REGRESSION FOREST

VOLUMETRIC RECONSTRUCTION OF CRANIOFACIAL STRUCTURES FROM 2D...

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IEEE International conference on image processing

作者： Yuru Pei Fanfan Dai Tianmin Xu Hongbin Zha Gengyu Ma Peking University Department of Machine Intelligence Beijing China School of Stomatology Beijing China uSens Inc. USA

ISBN: (纸本)9781467399623

The 3D reconstruction is an essential step to measure the craniofacial morphological changes from the historical growth database with only 2D cephalograms. In this paper, we propose a novel regression-forest-based method to estimate the volumetric intensity images from a lateral cephalogram. The regression forest can produce a prediction of the volumetric craniofacial structure as a mixture of Gaussian by weighted aggregating the distributions from trees. The dense anatomical structure can be reconstructed with no time-consuming digitally-reconstructed-radiographs (DRR) in the online testing process. The experiments demonstrate the proposed method can reconstruct volumetric intensity images from the lateral cephalograms effectively.

关键词： image reconstruction Three-dimensional displays vegetation Two dimensional displays Surface reconstruction Training data Morphology

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Identifying exudates from diabetic retinopathy images

Identifying exudates from diabetic retinopathy images

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International conference on Advanced Communication, Control and Computing Technologies (ICACCCT)

作者： A. Sindhura S. Deva Kumar v Ramakrishna Sajja N Gnaneswara Rao Computer Science & Engineering Department VFSTR University Andhra Pradesh India

ISBN: (纸本)9781467395465

Diabetic Retinopathy (DR) is the problem for long-standing diabetes and the major cause for visual loss is because of variations in blood vessels of the retina. vision loss is due to DR is preventable with regular checkups at the earlier stages. The presence of exudates is the basic signs of DR. Hence, exudates detection becomes a major problem-solving task, in which retinal images plays a vital role. In this paper, a technique is proposed depending on morphological closing operations which are in image processing is used to identify exudates from retinal image. At the starting phase, the retinal image must be preprocessed, where at first the image which is in RGB color format is altered to the image of HSI color format and on Intensity-band of HSI color format average filter is performed to reduce noise and subsequently contrast-limited adaptive histogram equalization is performed to normalize the image. In subsequent phase, exudates are identified using morphological closing operation and then Nilblack's thresholding is applied. On comparing the results, the proposed technique got better performance than the existing technique.

关键词： Retina Histograms image color analysis Diabetes image segmentation Low-pass filters Adaptive equalizers

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Tumor Extraction from MRI images using Dynamic Genetic Algorithm based image Segmentation and morphological Operation

Tumor Extraction from MRI images using Dynamic Genetic Algor...

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International conference on Communication and Signal processing

作者： Amiya Halder Anuva Pradhan Sourjya Kumar Dutta Pritam Bhattacharya Dept. of CSE St. Thomas' College of Engg. and Tech. Dept. of IT St. Thomas' College of Engg and Tech. Dept. of CSE St. Thomas' College of Engg and Tech.

ISBN: (纸本)9781467385497

Tumor is swelling of the body part, generally without any inflammation that happens due to abnormal growth of cells in that place of the body. Brain tumor is difficult to diagnose at initial stage. The tumor is diagnosed by magnetic resonance imaging (MRI) and depending on it, the tumors are distinguished into different grades of severity. This paper presents a new method to detect and extract tumor from the whole images. This paper proposes a scheme for extracting tumor from MRI based on GA (Genetic Algorithm) based FCM (Fuzzy C-means) clustering and morphological operation. Computer simulations of our algorithm present a considerable improvement over other existing techniques.

关键词： FCM Genetic Algorithm image Segmentation morphological operation

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libcrn, an Open-Source Document image processing Library

libcrn, an Open-Source Document Image Processing Library

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International Workshop on Frontiers in Handwriting Recognition

作者： Yann Leydier Jean Duong Stéphane Brés véronique Églin Frank Lebourgeois Martial Tola CoReNum France Universite de Lyon Lyon Auvergne-RhÃ´ne-Alpes FR CNRS INSA-Lyon Université de Lyon France

ISBN: (纸本)9781509009824

In this paper we introduce libcrn, a multiplatform open-source document image processing library aimed at researchers and companies. It is written in C++11 and has a non-contaminating license that makes it available for use in any project without legal constraints. The features include low-level image processing (color format conversion, binarization, convolution, PDE...), document images specific tools (connected components extraction, recursive block description, PDF export...), maths (matrix arithmetics, linear algebra, GMMs, equation solvers...), classification and clustering (kNN, k-means, HMMs...). The API is comprehensively documented and libcrn's architecture follows modern C++ guidelines to facilitate the handling of the library and enforce its safe usage. A sample OCR, which is only 30 lines long, is described to illustrate libcrn's scope of possibilities.

关键词： Feature extraction Libraries Shape Tensile stress Document image processing C++ languages

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