digital image processing IEEE PAPER 2016
Lung cancer detection using digital Image processing On CT scan Images
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Abstract-Lung cancer main disease cause of death of among throughout the world. Lung cancer is causing very high mortality rate. There are various cancer tumors such as lung cancer, breast Cancer, etc. Early stage detection of lung cancer is important for successful
SiO2-CaO-P2O5 (58S) sol gel glass applied onto surgical grade stainless steel by spray technique: morphological characterization by digital image processing
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Abstract: AISI 316L stainless steel is commonly used as a low-cost material for permanent implants. It can be protected for degradation and corrosion by applying a hybrid silica based coating. Also the bioactive response of the implant can only be achieved by
Assembling of Human Beings in an Image to Detect a Group on the basis of Distance using Digital Image Processing
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Abstract Data clustering is a method in which we make cluster of objects that are somehow similar in characteristics. The criterion for checking the similarity is implementation dependent. If data has some meaning and it corresponds to a human being, than how we
Various Applications of Compressive Sensing in Digital Image Processing: A Survey
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Abstract-Compressive sensing (CS) is a fast growing area of research. It neglects the extravagant acquisition process by measuring lesser values to reconstruct the image or signal. Compressive sensing is adopted successfully in various fields of image processing
Wavelet Transform in Image Processing: Denoising, Segmentation and Compression of Digital Images
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ABSTRACT Wavelet transform is a one of the most powerful concept used in image processing. Wavelet transform can divide a given function into different scale components and can find out frequency information without losing temporal information. Wavelet
Mathematical methods for time series analysis and digital image processing
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Abstract We consider estimation in the recently proposed class of time-varying locally stationary ARCH (p) models. We define a local normalised least-squares criterion which, unlike the previously proposed local quasi-maximum likelihood criterion, has the
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCESRESEARCH TECHNOLOGY A REVIEW ON: NOISE MODEL IN DIGITAL IMAGE PROCESSING
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ABSTRACT Image play a very important role in every aspect of life and it play a vital role in the area of research of digital image processing. So production of noise free image is very much essential in the field medical science, astronomy, film industry and in many more
A Review on Thinning in Digital Image Processing
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Abstract: Thinning is the first step which we can say that Pre-processing. This reduction may be accomplished by obtaining the skeleton of the region using skeletonization also known as thinning. There were many algorithms which were developed to implement
IDENTIFICATION OF ORIGITNAL GOLD USING DIGITAL IMAGE PROCESSING
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Abstract:Advanced methods of quick and instant assaying precious metals and exact determination of metal contents becoming increasingly important for reliability and assured for getting original and pure metal objects. Cupellation is the method recognized
Transformer Oil Quality Analysis using Digital Image Processing
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Electrical energy is the paramount need in a nation's development. To cater for large demand for electricity there is a need for reliable and proficient power system. For a power system to work reliably, the role of Transformers is critical. Health of the transformer mainly
Mathematical methods for time series analysis and digital image processing
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Abstract Analyzing data of biochemical reaction dynamics monitored by time-resolved spectroscopy, one faces the problem that the concentration time courses of the involved components are not directly observed but only the superposition of their absorption
APPLICATION OF DIGITAL IMAGE PROCESSING USING NIGERIA SAT1 AND GIS TO THE STUDY OF LINEAMENTS IN PARTS OF JEMA'A SOUTHWEST (1:
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Abstract: The study area covers, Wasa station and its environments in Sanga local government area of Kaduna state, which is part of the basement complex rocks of North Central Nigeria; this area falls within Jema'a Sheet 188SW. The aim of this study is to
Mathematical methods for time series analysis and digital image processing
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Abstract Recent research provided several new and fast approaches for the class of parameter estimation problems that are common in computer vision. Incorporation of complex noise model (mostly in form of covariance matrices) into errors-in-variables or
A Review On Role Of Mathematical Morphology In Digital Image Processing
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ABSTRAC T-The geometric structures of images and signals can be systematically analyzed by using mathematical morphology. Mathematical morphology provides very useful tools and techniques for analysis of digital images. Image Operations like reduction,
Mathematical methods for time series analysis and digital image processing
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Abstract In this paper we present a novel method for the stable inversion of Mellin convolution operators. Although the inverse operator is explicitly known for this class of operators, regularization techniques have to be used due to the ill–posedness of the
Mathematical methods for time series analysis and digital image processing
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Abstract We present a modification of the nearest neighbours method in order to improve accuracy of forecast of a time series. This modification is characterized by an adaptive
Mathematical methods for time series analysis and digital image processing
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Abstract Investigation of interrelations in the dynamics between different brain structures, captured by electromagnetic signals as carriers for information transfer and recorded usually by electroencephalography or magnetoencephalography, are still of particular interest in
Mathematical methods for time series analysis and digital image processing
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ABSTRACT Nonlinear diffusion filtering and wavelet shrinkage are two methods that serve the same purpose, namely discontinuity-preserving denoising. In this chapter we give a survey on relations between both paradigms when space-discrete or fully discrete
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