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Lie algebra-valued bidirectional associative memories 22

22nd International conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Chaos, Bayesian Methods, Intelligent image processing, Bio-Inspired Robotics, MENDEL 2016

作者： Popa, Călin-Adrian Department of Computer and Software Engineering Polytechnic University Timişoara Blvd. V. Pârvan No. 2 Timişoara300223 Romania

ISBN: (纸本)9783319580876

In recent years, complex-, quaternion-, and Clifford-valued neural networks have been intensively studied. This paper introduces Lie algebra-valued bidirectional associative memories, an alternative generalization of the real-valued neural networks, for which the states, outputs, and thresholds are all from a Lie algebra. The definition of these networks is given, together with an expression for an energy function, that is indeed proven to be an energy function for the proposed network. © Springer International Publishing AG 2017.

关键词： Associative processing

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Nuclei Segmentation using a Level Set Active Contour Method and Spatial Fuzzy C-means Clustering 12

Nuclei Segmentation using a Level Set Active Contour Method ...

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12th International Joint conference on Computer vision, Imaging and Computer Graphics Theory and Applications (vISIGRAPP)

作者： Edulapuram, Ravali Stanley, R. Joe Long, Rodney Antani, Sameer Thoma, George Zuna, Rosemary Stoecker, William v. Hagerty, Jason Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA NIH Lister Hill Ctr Biomed Commun Natl Lib Med Bldg 10 Bethesda MD 20892 USA Univ Oklahoma Hlth Sci Ctr Oklahoma City OK USA Stoecker & Associates Rolla MO USA

ISBN: (纸本)9789897582257

Digitized histology images are analyzed by expert pathologists in one of several approaches to assess pre-cervical cancer conditions such as cervical intraepithelial neoplasia (CIN). Many image analysis studies focus on detection of nuclei features to classify the epithelium into the CIN grades. The current study focuses on nuclei segmentation based on level set active contour segmentation and fuzzy c-means clustering methods. Logical operations applied to morphological post-processing operations are used to smooth the image and to remove non-nuclei objects. On a 71-image dataset of digitized histology images (where the ground truth is the epithelial mask which helps in eliminating the non epithelial regions), the algorithm achieved an overall nuclei segmentation accuracy of 96.47%. We propose a simplified fuzzy spatial cost function that may be generally applicable for any n-class clustering problem of spatially distributed objects.

关键词： Nuclei Segmentation Level Set Method Active Contours Fuzzy C-means Clustering Cervical Cancer Epithelium image processing

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Efficient image segmentation of RGB-D images 12

Efficient image segmentation of RGB-D images

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12th International conference on Computer Engineering and Systems, ICCES 2017

作者： Fouad, Islam I. Rady, Sherine Mostafa, Mostafa G. M. Faculty of Computer and Information Sciences Ain Shams University Cairo11566 Egypt

ISBN: (纸本)9781538611913

image segmentation is a fundamental problem in computer vision. With the current advent of depth sensors, it is gradually becoming a research focus on how to utilize the depth information to improve image segmentation. This paper proposes an automatic RGB-D image segmentation method in which the depth and RGB images are separately segmented and the result is combined, hence obtaining better segmentation results. The proposed segmentation is applied in five phases: 1) Edge detection, 2) morphological operations employed for enhancing the edge detection result. 3) Connected components' processing applied for labeling each region in the image, 4) Extraction for the missing components and merging with result in step 3. (The previous four steps are applied on the RGB image). 5) The result of depth and RGB segmentation are finally combined. Experiments carried on 'NYU Depth Dataset v2' which contains RGB and depth images, have proven the efficiency of the proposed segmentation method. © 2017 IEEE.

关键词： Edge detection

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A method for effective sequence searching of algorithms processing medical data during segmentation of anatomical structures of the heart 27

A method for effective sequence searching of algorithms proc...

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27th International conference on Computer Graphics and vision, GraphiCon 2017

作者： Danilov, v.v. Skirnevskiy, I.P. Gerget, O.M. Tomsk Polytechnic University Tomsk Russia

ISBN: (纸本)9785794429633

The paper considers a method for determining the effective sequence of steps during the processing of medical images, in particular, related to the problem of delineation the anatomical structures of the heart. First, we proposed the metric called the Optimality Index (OI) that is a weighted average of several accuracy coefficients, indices, and mean processing time. The metric allows to estimate how fast and accurate each image processing algorithm is. Moreover, the Optimality Index varies from 0 to 1, which facilitates the comparison of different approaches. The second thing is concerned with comparison of filtering, sharpening, and segmentation technique. All the obtained results are analysed and interpreted by dint of the new metric (OI). During noise reduction step, we compared Median filter, Total variation filter, Bilateral filter, Curvature Flow filter, Nonlocal Means filter, and Mean Shift filter. To clarify the borders of anatomical structures we used Linear sharpen. Lastly, we applied Watershed segmentation, Clusterization, Region growing segmentation, morphological segmentation, image Foresting segmentation, and Isoline delineation as segmentation techniques. All the research studies were performed on a static frame from a series of images obtained as part of an echocardiographic study of the heart. © GraphiCon 2017 - Computer Graphics and *** right reserved.

关键词： Echocardiography

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Retinamorphic color Schrödinger metamedia

Retinamorphic color Schrödinger metamedia

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2017 International conference Information Technology and Nanotechnology. Session image processing, Geoinformation Technology and Information Security, IPGTIS-ITNT 2017

作者： Labunets, v. Artemov, I. Chasovskikh, v. Ostheimer, E. Ural State Forest Engineering University Ekaterinburg620100 Russia Capricat LLC Pompano BeachFL United States

In this work, we use quantum color cellular automata to study pattern formation and image processing in quantum-diffusion Schrödinger systems with triplet-valued (color-valued) diffusion coefficients. Triplet numbers have the real part and two imaginary parts (with two imaginary units ϵ 1 and ϵ 2, where ϵ 3 =1 ). They form 3-D triplet algebra. Discretization of the Schrödinger equation gives quantum color cellular automata with various triplet-valued physical parameters. The process of excitation in these media is described by the color Schrödinger equations with the wave functions that have values in triplet algebras. The color Schrödinger metamedia can be used for creation of the eye-prosthesis. The color metamedium suggested can serve as the prosthesis prototype for perception of the color images.

关键词： Color

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Pupil Segmentation of Abnormal Eye using image Enhancement in Spatial Domain

Pupil Segmentation of Abnormal Eye using Image Enhancement i...

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International Technical Postgraduate conference (Tech-Post)

作者： Ramlee, R. A. Ramli, A. R. Noh, Z. M. Univ Putra Malaysia Fac Engn Commun & Network Engn Upm Serdang 43400 Selangor Darul Malaysia Univ Tekn Malaysia Melaka UTeM Fac Elect & Comp Engn FKEKK Durian Tunggal 76100 Melaka Malaysia

Segmentation is one of the important elements in image processing. There are various types of algorithms that have been developed by researchers, for segmenting the interesting area for classification and identification purposes. This paper, presents the pupil segmentation using logarithmic transformation (LT) and power law transformation (PLT). It is obviously seen in most of the work on pupil segmentation where assumption is made that the pupil has a homogeneous circular. However, there are cases where the shape of pupil is inhomogeneous, for instance, in synechia case. Therefore, the use of circumference equation such as circular Hough transforms (CHT) and Daugman's Integra-differential operator (DIDO) for section the non-uniform pupil will produce inaccurate segmentation. We propose a new method for pupil segmentation using the combination of LT and PLT algorithm in order to enhance the pupil segmentation. The morphological operators and black white (BW) removal are used the segmentation of pupil. The proposed system uses CASIA v1, CASIAv3 Interval and MMU1 iris database. The results show his method gives accurate segmentation compared to CHT or DIDO technique.

关键词： image enhancement

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Intelligent systems for monitoring and controlling chip formation when cutting difficult-to-machine materials

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IOP conference Series: Materials Science and Engineering 2019年第1期560卷

作者： v v Maksarov v E Makhov Saint-Petersburg Mining University 21 Line St. Petersburg 199106 Russia Mozhaisky Military Space Academy Zhdanov Street 13 St. Petersburg 197082 Russia

This research addresses topical issues of creating industrial monitoring systems for chips, which are formed when materials are cut, based on light field-based optical detectors. A proposed scheme uses a light field (LF) method to register formed chips with an optical detector. An algorithms and monitoring methods for key geometric parameters of chip shapes are developed based on the analysis of images obtained from LF cameras. They feature digital image capturing and morphological analysis. For practical implementation of developed algorithms, National Instruments software platform is used. This research shows that the result accuracy in determining geometric characteristics of chips using the proposed solutions makes it possible to run diagnostics for cutting and material processing equipment.

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image based book cover recognition and retrieval 14

Image based book cover recognition and retrieval

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14th International conference on Science, Engineering and Technology, ICSET 2017

作者： Sukhadan, Kalyani vijayarajan, v. Krishnamoorthi, A. Geraldine Bessie Amali, D. School of Computer Science and Engineering VIT University Vellore632014 India

In this we are developing a graphical user interface using MATLAB for the users to check the information related to books in real time. We are taking the photos of the book cover using GUI, then by using MSER algorithm it will automatically detect all the features from the input image, after this it will filter bifurcate non-text features which will be based on morphological difference between text and non-text regions. We implemented a text character alignment algorithm which will improve the accuracy of the original text detection. We will also have a look upon the built in MATLAB OCR recognition algorithm and an open source OCR which is commonly used to perform better detection results, post detection algorithm is implemented and natural language processing to perform word correction and false detection inhibition. Finally, the detection result will be linked to internet to perform online matching. More than 86% accuracy can be obtained by this algorithm. © Published under licence by IOP Publishing Ltd.

关键词： Graphical user interfaces

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Parallel 2D Ray Casting Algorithm for Brain Cell Registration with Brodmann's Layer Decomposition from Nissl-stained Mouse Cortex images 6th

Parallel 2D Ray Casting Algorithm for Brain Cell Registratio...

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6th Annual International Young Scientists conference on HPC and Computational Science (YSC)

作者： Nosova, Svetlana Turlapov, vadim Lobachevsky State Univ 23 Prospekt Gagarina Bldg 2Room 314a Niznij Novgorod 603950 Russia

In this article we describe some methods for automatic cortex layers decomposition and cortex cell registration. For Brodmann's layers decomposition, we use special density function calculation. Cell registration process consists of two steps: cell center detection and cell segmentation. To detect cell centers, we use an algorithm based on morphological operations. For cell segmentation, we use the inner ray casting method involving the calculation of intersections with Canny edges. We also propose a parallel version of our methods. Parallel implementation was developed using OpenMP. Performance characteristics of the implementation are also presented (C) 2018 The Authors. Published by Elsevier B.v.

关键词： HPC OpenMP image processing Nissl staining mouse cortex Brodmann's layer brain cell morphology feature segmentation via ray casting

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Acceleration of calculations using block algorithms for the difference solution of the heat equation

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Journal of Physics: conference Series 2019年第5期1368卷

作者： D L Golovashkin L v Yablokova I D Reznik Image Processing Systems Institute of RAS - Branch of the FSRC 'Crystallography and Photonics' RAS Molodogvardejskaya street 151 Samara Russia 443001 Samara National Research University Moskovskoe Shosse 34 Samara Russia 443086

In this paper, we propose taking into account the architectural features of the processor at the stage of constructing the numerical method itself. This idea is illustrated by the example of the synthesis of a new difference scheme for the heat conduction equation, which has traditionally been the object of testing innovations in the theory of difference schemes. The architectural feature hierarchical structure of the computer memory chosen led to considerable communication costs even when a single hardware computational flow was used for organising the calculations. This feature is accounted for in computational linear algebra by using block algorithms, and in the theory of difference schemes, by using the technique of programming 'tiling'. However, for the two-layer difference schemes of block algorithms for solving grid equations, prior to the proposed work, it was not known because of the impossibility of organising block calculations by using the existing schemes. Here, we propose a new method of constructing two-layer difference schemes and a mixed scheme with a shift as an example of the application of this method. In the course of the experiments, a five-fold acceleration of calculations according to this scheme was demonstrated relative to the traditional explicit model, with the same computational complexity.

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