-image processing-image retrieval




Morphological operations for color image processing
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Abstract {The use of mathematical morphology in low and mid-level image processing and computer vision applications has allowed the development of a class of techniques for analyzing shape information in monochrome images. In this paper these techniques are

Local laplacian filters: Edge-aware image processing with a laplacian pyramid.
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The Laplacian pyramid is ubiquitous for decomposing images into multiple scales and is widely used for image analysis. However, because it is constructed with spatially invariant Gaussian kernels, the Laplacian pyramid is widely believed as being unable to represent Since the publication of the first edition of our book in 199 machine vision has enjoyed continuous strong growth as in the decade before. After machine vision had crossed the 1 billion Deutsche Mark revenue line in Germany in 2000, the same euro milestone was then

Implementing image processing algorithms on FPGAs
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FPGAs are often used as implementation platforms for real-time image processing applications because their structure is able to exploit spatial and temporal parallelism. Such parallelisation is subject to the processing mode and hardware constraints of the systemNearly 25 years ago, Ungerl 2 suggested a two-dimensional array of processing elements as a natural computer architecture for image processing and recogni-tion. Ideally, in this approach, each processor is respon-sible for one pixel, or one element of the image , with

Inpainting and the fundamental problem of image processing
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Inpainting is the art worlds term for what researchers in image processing call image interpolation. In image processing , the fundamental problem is to answer the question What do we mean by images Without knowing what images are, we could not hope to

Object-oriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications
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While remote sensing has made enormous progress over recent years and a variety of sensors now deliver medium and high resolution data on an operational basis, a vast majority of applications still rely on basic image processing concepts developed in the early

Discrete wavelet transform for image processing
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Image compression is a method through which we can reduce the storage space of images which will helpful to increase storage and transmission processs performance. In this paper, we present the comparison of the performance of discrete wavelets like Haar Wavelet and

Engineering and algorithm design for an image processing API: a technical report on ITK-the insight toolkit
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We present the detailed planning and execution of the Insight Toolkit (ITK), an application programmers interface (API) for the segmentation and registration of medical image data. This public resource has been developed through the NLM Visible Human Project, and is in

Advances in image processing for detection of plant diseases
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The studies of plant trait/disease refer to the studies of visually observable patterns of a particular plant. Nowadays crops face many traits/diseases. Damage of the insect is one of the major trait/disease. Insecticides are not always proved efficient because insecticides

Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
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Various applications of multivariate Gaussian Markov random fields (GMRF) on 2- dimensional lattice have appeared in image processing ; see Kittler and Foglein [16] and Geman and Geman [ll] for pre-1984 references, and Kent and Mardia [15] for a recent

Digital image processing for remote sensing
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GIS 212 Remote Sensing Digital Image Processing - PPCC Remote sensing images are representations of parts of the earth surface as seen. A digital image comprises of a two dimensional array of individual picture Introduction to Remote Sensing and Image Processing ITC Remote Sensing

Low-level image processing with the structure multivector
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The present thesis deals with two-dimensional signal processing for computer vision. The main topic is the development of a sophisticated generalization of the one-dimensional analytic signal to two dimensions. Motivated by the fundamental property of the latter, the

Visualizing topography by openness: a new application of image processing to digital elevation models
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A new parameter, here termed openness, expressing the degree of dominance or enclosure of a location on an irregular surface, is developed to visualize topographic character. Openness is an angular measure of the relation between surface relief and horizontal

Applications of image processing in agriculture: a survey
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Image processing has been proved to be effective tool for analysis in various fields and applications. Agriculture sector where the parameters like canopy, yield, quality of product were the important measures from the farmers point of view. Many times expert advice may

Segmentation techniques comparison in image processing
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In day-to-day life, new technologies are emerging in the field of Image processing , especially in the domain of segmentation. This paper presents a brief outline on some of the most common segmentation techniques like thresholding, Model based, Edge detection

Fast wavelet techniques for near-optimal image processing
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In recent years many authors have introduced certain nonlinear algorithms for data compression, noise removal, and image reconstruction. These methods include wavelet and quadrature-mirror filters combined with quantization of filter coefficients for image

HIPI: a Hadoop image processing interface for image -based mapreduce tasks
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The amount of images being uploaded to the internet is rapidly increasing, with Facebook users uploading over 2.5 billion new photos every month [Facebook 2010], however, applications that make use of this data are severely lacking. Current computer vision

Application of digital image processing to quantitative study of asphalt concrete microstructure
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Asphalt concrete (AC) is a strongly heterogeneous material that consists of asphalt cement, voids, fine particles, sand, and coarse aggregates. A review of the literature reveals that the investigations of AC have mainly concentrated on the macroscopic behavior of the material based on the assumption

Leaf disease severity measurement using image processing
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Fungi-caused diseases in sugarcane are the most predominant diseases which appear as spots on the leaves. If not treated on time, causes the severe loss. Excessive use of pesticide for plant diseases treatment increases the cost and environmental pollution so their use


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