Conferences related to Morphological operations

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


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Periodicals related to Morphological operations

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Morphological operations

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Xplore Articles related to Morphological operations

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A morphological algorithm for photomosaicking

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

We define a morphological algorithm to combine two overlapping images into a single one by a process named photomosaicking. By means of a very powerful morphological operation, namely, the watershed transformation, the method described here considers global information of a correlation image to obtain a seam which is connected, irregular and, thus, more realistic than those defined by the existing ...


IEE Colloquium on 'Morphological and Nonlinear Image Processing Techniques' (Digest No.1993/145)

IEE Colloquium on Morphological and Nonlinear Image Processing Techniques, 1993

None


Real time notch based face detection, tracking and facial feature localization

2006 International Conference on Emerging Technologies, 2006

This research paper deals with the real time implementation of face detection, tracking and facial feature localization in video sequence that is invariant to scale, translation, and (plusmn45) rotation transformation. The proposed system contains two parts, visual guidance and face/non-face classification. The visual guidance phase detects the skin region using the cue present in monocular video (motion and color). Fusion ...


The distance transform algorithm on a two-processor computer

Proceedings 10th International Conference on Image Analysis and Processing, 1999

This paper contains the description of the implementation of the weighted distance transform for digital image analysis on a two-processor shared memory computer. The computer is a SMP (symmetric multiprocessing) computer and the algorithm is implemented using POSIX threads.


An image processing system for the automatic extraction of craniofacial landmarks

Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference, 1991

A novel algorithm has been developed to locate craniofacial landmarks on skull X-rays. The locations of these landmarks are used by orthodontists for cephalometric evaluations. The proposed image processing method uses mathematical morphology to generate a target recognition error function whose surface is minimized to estimate the probable location of a landmark. An automatic training procedure accompanies the proposed algorithm. ...


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Educational Resources on Morphological operations

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IEEE-USA E-Books

  • A morphological algorithm for photomosaicking

    We define a morphological algorithm to combine two overlapping images into a single one by a process named photomosaicking. By means of a very powerful morphological operation, namely, the watershed transformation, the method described here considers global information of a correlation image to obtain a seam which is connected, irregular and, thus, more realistic than those defined by the existing methods.

  • IEE Colloquium on 'Morphological and Nonlinear Image Processing Techniques' (Digest No.1993/145)

    None

  • Real time notch based face detection, tracking and facial feature localization

    This research paper deals with the real time implementation of face detection, tracking and facial feature localization in video sequence that is invariant to scale, translation, and (plusmn45) rotation transformation. The proposed system contains two parts, visual guidance and face/non-face classification. The visual guidance phase detects the skin region using the cue present in monocular video (motion and color). Fusion of motion and color cues is done to classify skin color. The classified skin color is passed to morphological operations (recurring erosion and dilation) to remove the noise and holes from the classified skin regions. The contiguous regions are extracted using union- structure component labeling algorithm and scale normalization is applied by nearest neighbor interpolation method. Using the aspect ratio of width and height size, region of interest (ROI) is obtained and then passed to face/non- face classifier. Notch (Gaussian) based templates are used to find circular darker regions in ROI keeping the fact in view that face texture is coarser in nature due to eyes, lips and nostril darker portions. Various size of notch based templates are matched with ROI using normalized cross correlation (NCC), to get matching score (for the classification of input region as face/non- face). The visual guidance reduces the search space and helps to detect and track skin region whereas each region is categorized as face/non-face using face/non-face classifier. The classified face region is handed over to facial feature localization phase, which uses YCbCr eyes/lips mask for face feature localization

  • The distance transform algorithm on a two-processor computer

    This paper contains the description of the implementation of the weighted distance transform for digital image analysis on a two-processor shared memory computer. The computer is a SMP (symmetric multiprocessing) computer and the algorithm is implemented using POSIX threads.

  • An image processing system for the automatic extraction of craniofacial landmarks

    A novel algorithm has been developed to locate craniofacial landmarks on skull X-rays. The locations of these landmarks are used by orthodontists for cephalometric evaluations. The proposed image processing method uses mathematical morphology to generate a target recognition error function whose surface is minimized to estimate the probable location of a landmark. An automatic training procedure accompanies the proposed algorithm. The training provides the means by which the algorithm may automatically learn to deal with subtle differences in a landmark's appearance. A novel decomposition technique that provides some size invariance and a method for minimizing the search window sizes are also presented. A system was trained to locate 20 landmarks. Tests on 40 X-rays showed an 88% recognition rate and a mean location error of 1.1 mm.<<ETX>>

  • Facial Tilt and Image Background Challenges In Frequency Domain Face Recognition

    In this paper facial tilt and varying background challenges to face recognition in frequency domain have been addressed and maximum possible compensation to these problems is provided in image pre processing through image reverse rotation and gray scale morphological operations. Facial features through two distinct techniques are extracted by applying discrete Fourier transform (DFT) on images. In this face recognition model only real part of DFT coefficients with maximum information is retained for recognition which not only provides considerable dimension reduction with improved computational speed but also better recognition results. Experiments on ORL and YALE datasets have been performed with success rate up to 98.78%

  • Fusion of two different motion cues for intelligent video surveillance

    Detecting the presence of people and suspicious objects are the essential tasks for security surveillance. This paper presents a new real-time system for this purpose. Two motion cues from background subtraction and temporal differencing are employed to not only get reliable motion detection but also identify detected objects in the scene. A fuzzy reasoning technique is developed to detect and locate motion objects from vertical projection of motion cues. The background model is updated on both pixel level and region level to adapt both slow illumination changes and sudden extraneous events. This new background maintenance technique makes the system able to work under varying environments. The system has been run round the clock in real scenes and the performance is very promising.

  • Second-order statistics of morphological dilation and erosion of a memoryless source

    The paper shows that morphological dilation and erosion preserve strict sense stationarity, derives the 2-D probability distribution and density functions of dilated and eroded stationary memoryless sources, and presents numerical results for a memoryless uniform source, which shows identical closed-form autocovariance functions of dilated and eroded sources.<<ETX>>

  • Application of Artificial Neural Network in identification of lung diseases

    Artificial Neural Networks (ANN) is currently a hot research area in medicine and it is believed that they will receive extensive application to biomedical systems in the next few years. Neural networks are ideal in recognizing diseases using scans since there is no need to provide a specific algorithm on how to identify the disease. This paper describes an algorithm to separate the lung tissue from a Chest CT to reduce the amount of data that needs to be analyzed. Our goal is to have a fully automatic algorithm for segmenting the lung tissue, and to separate the two lung sides as well. The image is thresholded to separate low-density tissue (lungs) from fat. Cleaning is performed to remove air, noise and airways. Finally, a sequence of morphological operations is used to smooth the irregular boundary. The database used for evaluation is taken from a radiology-teaching file. Our current evaluation shows that the applied segmentation algorithm works on a large number of different cases. The textural features were extracted from the segmented lungs and it was given as input to the BPN network. The neural network is used to identify the various lung diseases.

  • Basis decomposition of morphological operations

    Promotes the use of basis decomposition of discrete gray-scale structuring elements to design and apply morphological filters. Matheron (1975) has proved that many morphologic operations can be expressed as a single maximum of erosions by a set of basis filters. A constructive relationship between certain morphological operations and their basis sets is derived. The paper discusses how a detailed comparison of basis decomposition set members for given structuring elements can be used to engineer filters with optimal characteristics.<<ETX>>



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