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Neighborhood decomposition of convex structuring elements for mathematical morphology on hexagonal grid

21st International symposium on computer and Information Sciences (ISCIS 2006)

作者： Ohn, Syng-Yup Hankuk Aviat Univ Dept Comp & Informat Engn Seoul South Korea

ISBN: (纸本)3540472428

In this paper, we present a new technique to find the optimal neighborhood decomposition for convex structuring elements used in morphological image processing on hexagonal grid. In neighborhood decomposition, a structuring element is decomposed into a set of neighborhood structuring elements, each of which consists of the combination of the origin pixel and its six neighbor pixels. Generally, neighborhood decomposition reduces the amount of computation required to perform morphological operations such as dilation and erosion. Firstly, we define a convex structuring element on a hexagonal grid and formulate the necessary and sufficient condition to decompose a convex structuring element into the set of basis convex structuring elements. Secondly, decomposability of a convex structuring element into the set of primal bases is also proved. Furthermore, cost function is used to represent the amount of computation or execution time required for performing dilations on different computing environments and by different implementation methods. The decomposition condition and the cost function are applied to find the optimal neighborhood decomposition of a convex structuring element, which guarantees the minimal amount of computation for morphological operations. Example decompositions show that the decomposition results in great reduction in the amount of computation for morphological operations.

关键词： Distributed computer systems

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Human Body's Orientation Estimation Based on Depth image 21

Human Body's Orientation Estimation Based on Depth Image

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21st International Electronics symposium, IES 2019

作者： Aditiya Saputra, Rizka Wahyu Sena Bayu Dewantara, Bima Pramadihanto, Dadet Politeknik Elektronika Negeri Surabaya Department of Informatic and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781728144498

In human-robot interactions, robots that often interact with humans need some information from humans to be able to communicate. In human-oriented robots, the robots must pay attention wherever the human will go. Therefore, the human-oriented robots are more flexible. To estimate wherever the human will go, it can use the direction of the human or what is called intention. Intention can be taken from the perspective of the human body. An algorithm is needed to estimate the orientation of the human body. In this study, using image processing from depth image is expected to be able to estimate the orientation of the human body when a human is not moving (static orientation) so that it can be used by the robots to predict the intention direction of a human. One method that can be used to classify the orientation of a human body is the Support Vector Machine (SVM) so that it gets a classified orientation value. Then from the classified orientation value to get the static orientation value, Kalman Filter is used. Orientation classification with SVM method has accuracy of 96.528%. static orientation estimation using this method produces precision value of 0.0970. © 2019 IEEE.

关键词： Kalman filters

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Sparse Linear Models Applied to Power Quality Disturbance Classification 21st

Sparse Linear Models Applied to Power Quality Disturbance Cl...

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21st Iberoamerican Congress on Pattern Recognition (CIARP)

作者： Lopez-Lopera, Andres F. Alvarez, Mauricio A. Orozco, Alvaro A. Univ Tecnol Pereira Elect Engn Program Pereira Colombia

ISBN: (纸本)9783319522777;9783319522760

The automatic recognition of Power Quality (PQ) disturbances can be seen as a pattern recognition problem, in which different types of waveform distortion are differentiated based on their features. Similar to other quasi-stationary signals, PQ disturbances can be decomposed into time-frequency dependent components by using time-frequency or time-scale dictionaries. Short-time Fourier, Wavelets, and stockwell transforms are some of the most common dictionaries used in the PQ community. Previous works about PQ disturbance classification have been restricted to the use of one of the above dictionaries. Taking advantage of the theory behind sparse linear models (SLMs), we introduce a sparse method for PQ representation, starting from overcomplete dictionaries. We apply Group Lasso. We employ different types of time-frequency dictionaries to characterize PQ disturbances and evaluate their performance under different pattern recognition algorithms. We show that SLMs promote the sparse basis selection improving the classification accuracy.

关键词： Disturbances classification Overcomplete representation Power quality Sparse linear models statistical signal processing

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Unsteady flow visualization by animating evenly-spaced streamlines

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computer graphics FORUM 2000年第3期19卷 C31-C39页

作者： Jobard, B Lefer, W Univ Littoral Cote dOpale Calais France

In recent years the work on vector field visualization has been concentrated on LIC-based methods. In this paper we propose an alternative solution for the visualization of unsteady flow fields. Our approach is based on the computation of temporal series of correlated images. While other methods are based on pathlines and try to correlate successive images at the pixel level, our approach consists in correlating instantaneous visualizations of the vector field at the streamline level. For each frame a feed forward algorithm computes a set of evenly-spaced streamlines as a function of the streamlines generated for the previous frame. This is achieved by establishing a correspondence between streamlines at successive time steps. A cyclical texture is mapped onto every streamline and textures of corresponding streamlines at different time steps are correlated together so that, during the animation, they move along the streamlines, giving the illusion that the flow is moving in the direction defined by the streamline. Our method gives full control on the image density so that we are able to produce smooth animations of arbitrary density, covering the field of representatives from sparse, that is classical streamline-based images, to dense, that is texture-like images.

关键词： VECTOR fields computer-generated imagery image processing

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Droplet Position Estimator for Open EWOD System Using Open Source computer Vision 21st

Droplet Position Estimator for Open EWOD System Using Open S...

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21st International symposium on VLSI Design and Test (VDAT)

作者： Jain, Vandana Devarasetty, Vasavi Patrikar, Rajendra Visvesvaraya Natl Inst Technol Ctr VLSI & Nanotechnol Nagpur 440010 MH India

ISBN: (纸本)9789811074707;9789811074691

Digital microfluidics (DMF) emerged as a popular technology for lab on chip (LOC) application, which allows full and independent control over droplets on an array of electrodes. In this work, we have demonstrated a low-cost open electrowetting on dielectric (EWOD) based system, which is capable of tracking droplet position on the single substrate in real time. Printed circuit board (PCB) technology has been used for fabrication of two dimentional open EWOD device. Bio- compatible polydimethylsiloxane (PDMS) is used as a dielectric as well as a hydrophobic layer. The controlled droplet transport is successfully done on the fabricated device. The detection of droplet position is successfully demonstrated using open source computer vision image processing tool. This work illustrates the promise of open two- dimensional EWOD device for digital microfluidics application.

关键词： Electrowetting on dielectric (EWOD) Polydimethylsiloxane (PDMS) Printed circuit board (PCB) Open source computer vision (OpenCV)

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Reversible Data Hiding Scheme Based on Prediction Error Bit-plane Compression 21

Reversible Data Hiding Scheme Based on Prediction Error Bit-...

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21st IEEE International symposium on Parallel and Distributed processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Yuan, Guo Heng, Chao Ping, Zhai Ziqi, Liu Haibo, Li Wenpeng, Li Heilongjiang University College of Computer Science and Technology Harbin China Qiqihar University College of Computer and Control Engineering Qiqihar China

ISBN: (纸本)9798350329223

How to maximize embedding capacity is one of the current challenges in the field of reversible data hiding. A reversible data hiding scheme is proposed based on the rearrangement and compression of prediction error bit-planes in this paper. The image holder first predicts the pixels to obtain the error map, then decomposes them into bit-planes, rearranges and compresses them to maximize the embedding space, and embeds the auxiliary information and secret information into the freed space according to certain rules to generate a cryptographic image. After acquiring the cryptographic image, the image receiver extracts the embedded secret information and recovers the original image using the auxiliary information. In this paper, a rearrangement strategy based on full pixel correlation was built to maximize compression efficiency and further compress the auxiliary information to free up more embeddable space and improve embedding capacity. A large number of test has revealed that the embedding rate of this method is 30% higher on average than the current state-of-the-art algorithm. © 2023 IEEE.

关键词： Pixels

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Fully Automatic Segmentation of Abdominal Organs from CT images Using Fast Marching Methods

Fully Automatic Segmentation of Abdominal Organs from CT Ima...

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Annual IEEE symposium on computer-Based Medical Systems

作者： Paola Campadelli Elena Casiraghi stella Pratissoli Dipartimento di Scienze dellInformazione Universita degli Studi di Milano Milan Italy

Computed tomography (CT) images are becoming an invaluable mean for abdominal organ investigation. In the field of medical image processing, some of the current interests are the automatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominal organs. The first and fundamental step in all these studies is the automatic organs segmentation, that is still an open problem. In this paper we propose a fully automatic gray level based segmentation framework that employs a fast marching technique; the proposed segmentation scheme is general, and employs only established and not critical anatomical knowledge. For this reason, it can be easily adapted to separately segment different abdominal organs, by overcoming problems due to the high inter and intra patient gray level and shape variabilities; the extracted volumes are then combined to achieve robust results. The system performance has been evaluated on the data of 40 patients, by comparing the automatically detected organ volumes to the organ boundaries manually traced by three experts. The good quality of the achieved results is proved by the fact that they are comparable to the inter and intra personal variability of the manual segmentation produced by experts.

关键词： image segmentation Abdomen Computed tomography Biomedical image processing Liver Pathology Rendering (computer graphics) Shape Data mining Robustness

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21th brazilian symposium on Artificial Intelligence, SBIA 2012

21th Brazilian Symposium on Artificial Intelligence, SBIA 20...

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21st brazilian symposium on Artificial Intelligence, SBIA 2012

ISBN: (纸本)9783642344589

The proceedings contain 23 papers. The special focus in this conference is on Knowledge Representation and Machine Learning. The topics include: On the development of a formal methodology for knowledge representation in defeasible logic programming;a framework for empirical evaluation of belief change operators;sensorimotor domain approach for artificial autonomous cognitive development;a service-oriented architecture for assisting the authoring of semantic crowd maps;user-centric principles in automated decision making;wearable computing;density-based pattern discovery in distributed time series;filter approach feature selection methods to support multi-label learning based on relieff and information gain;automatic analysis of leishmania infected microscopy images via gaussian mixture models;link prediction in complex networks based on cluster information;a parallel approach to clustering with ant colony optimization;on the use of consensus clustering for incremental learning of topic hierarchies;image retrieval by content based on a visual attention model and genetic algorithms;a symbolic representation method to preserve the characteristic slope of time series;orchestrating multiagent learning of penalty games;an architectural model for autonomous normative agents;a coalition formation mechanism for trust and reputation-aware multi-agent systems;profile recommendation in communities of practice based on multiagent systems;knowledge-intensive word disambiguation via common-sense and wikipedia;context-sensitive ASR for controlling the navigation of mobile robots;an evaluation of the model of stigmergy in a robocup rescue multiagent system;an ecology-based heterogeneous approach for cooperative search and providing trade-off techniques subsets to improve software testing effectiveness.

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Cultural Computing 1

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丛书名： IFIP Advances in Information and Communication Technology

1000年

作者： Ryohei Nakatsu Naoko Tosa Fazel Naghdy Kok Wai Wong Philippe Codognet

ISBN: (数字)9783642152146

ISBN: (纸本)9783642152139;9783642423154

Welcome to the Second International IFIP Entertainment Computing symposium on st Cultural Computing (ECS 2010), which was part of the 21 IFIP World computer Congress, held in Brisbane, Australia during September 21–23, 2010. On behalf of the people who made this conference happen, we wish to welcome you to this inter- tional event. The IFIP World computer Congress has offered an opportunity for researchers and practitioners to present their findings and research results in several prominent areas of computer science and engineering. In the last World computer Congress, WCC 2008, held in Milan, Italy in September 2008, IFIP launched a new initiative focused on all the relevant issues concerning computing and entertainment. As a - sult, the two-day technical program of the First Entertainment Computing symposium (ECS 2008) provided a forum to address, explore and exchange information on the state of the art of computer-based entertainment and allied technologies, their design and use, and their impact on society. Based on the success of ECS 2008, at this Second IFIP Entertainment Computing symposium (ECS 2010), our challenge was to focus on a new area in entertainment computing: cultural computing.

关键词： User Interfaces and Human computer Interaction computer Engineering Information Systems Applications (incl. Internet) computer graphics Multimedia Information Systems image processing and computer Vision

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Optimal point set projections onto regular grids

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14th International symposium on Algorithms and Computation, ISAAC 2003

作者： Díaz-Báñez, José Miguel Hurtado, Ferran López, Mario Alberto Antoni Sellarès, J. Departamento de Matemática Aplicada II Universidad de Sevilla Spain Departament de Matemática Aplicada II U.P.C Barcelona Spain Department of Computer Science University of Denver DenverCO United States Institut d’Informàtica i Aplicacions Universitat de Girona Girona Spain

ISBN: (纸本)9783540206958

The problem of determining nice (regular, simple, minimum crossing, monotonic) and non-degenerate (with distinct x-coordinate, non-collinear, non-cocircular, non-parallel) orthogonal and perspective images of a set of points or a set of disjoint line segments has been studied extensively in the literature for the theoretical case of infinite resolution images. In this paper we propose to extend the study of this type of problems to the case where the images have finite resolution. Applications dealing with such images are common in practice, in fields such as computer graphics and computer vision. We derive algorithms that solve the simplest problem of obtaining an optimal orthogonal image of a two-dimensional or three-dimensional point set. Due to the high cost of the proposed algorithms we also present algorithms that provide approximate solutions to the problems with better complexity. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Geometry

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