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Image Processing for Fluid Dynamics
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Installation of DigImage be divided into six relatively simple phases: 1. Installing Microsoft language utilities (optional) 1. Installing the frame grabber board 1. Setting up the environment variables and RAM disk 1. Installing the DigImage software 1. Configuring

2D geometric shape and color recognition using digital image processing
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The paper discusses an approach involving digital image processing and geometric logic for recognition of two dimensional shapes of objects such as squares, circles, rectangles and triangles as well as the color of the object. This approach can be extended to applications

Riparian vegetation mapping and image processing techniques, Hopi Indian Reservation, Arizona
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Color infrared photography and airborne ATLAS images were utilized to develop a vegetation map and a supervised landcover classification for the Blue Canyon reach of Moenkopi Wash on the Hopi Reservation, Arizona. An orthophoto mosaic was produced

Morphological scale-space in image processing
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The purpose of this paper is twofold. First, we provide an extensive review of the state-of- theart in scale-space generation techniques for image processing , including linear methods, diffusionbased methods, and emphasizing morphological methods. Then, we introduce a

Comparison of filters used for underwater image pre- processing
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Underwater image pre- processing is absolutely necessary due to the quality of images captured under water. Basically, under water images suffer from quality degradation due to transmission of limited range of light, low contrast and blurred image due to quality of light

Recognition of weeds with image processing and their use with fuzzy logic for precision farming
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Lusage d1lerbicides peut etre reduit si lon considere la distribution spaciale des mauvaises herbes it Iinterieur du champs. Cet article rend compte des premieres etapes dans Ie developpement dun systeme dacquisitionlgestion dimages pour la detection des

Red blood cells classification using image processing
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This paper investigates automated diagnosis of red blood cells and describes a method to classify the different shapes of red blood cells using the image processing techniques. The shape of red blood cells can be analyzed and their structures can be recognizing with the

An overview on image processing techniques
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Digital image processing is always an interesting field as it gives improved pictorial information for human interpretation and processing of image data for storage, transmission, and representation for machine perception. Image Processing is a technique to enhance

Nonlinear model-based image /video processing and analysis
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A widely varied selection of experts provides extensive coverage ofnonlinear model-based techniques in image and video processing andanalysis. This volume not only details new techniques in stillimage and digital video but also discusses applications in computervision

A light-weight text image processing method for handheld embedded cameras.
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In the past few years cheap imaging devices are making their way into portable and mobile computing appliances such PDAs and mobile phones, which are in turn becoming more and more powerful in terms of processor speed and memory. Amongst the many exciting new

Eye detection using morphological and color image processing
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Eye detection is required in many applications like eye-gaze tracking, iris detection, video conferencing, auto-stereoscopic displays, face detection and face recognition. This paper proposes a novel technique for eye detection using color and morphological image

Medical image processing
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DIPE is a distributed environment that provides image processing services over integrated teleradiology services networks. DIPE integrates existing and new image processing software and employs sophisticated execution scheduling mechanisms for the efficient

Theory and applications of digital image processing
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An image processing system (fig. 1.1) consists of a light source to illuminate the scene, a sensor system (usually a CCD-camera) and an interface between the sensor system and the computer. Among other things, the interface converts analog information into digital data

Image processing protocol for regional assessments of lake water quality
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This report describes methods for applying Landsat imagery to regional-scale assessment of lake water quality. The methods were developed from work initiated by Olmanson (1997) and continued in three subsequent studies conducted by the University of Minnesota Water ABSTRACT The author studies a class of VLSI organizations with optical interconnects for fast solutions to several image processing tasks. The organization and operation of these architectures are based on a generic model called OMC, which is used to understand the

Wavelets with applications in signal and image processing
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5.1 Introduction 54 5.2 Bases and frames . . . 55 5.3 Discrete versus continuous wavelet transform . . . 58 5.4 Definition of a multiresolution analysis 60 5.5 The scaling

Determination of kiwifruit volume using image processing
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Kiwifruit (Actinidia deliciosa) volume was determined using water displacement and image processing methods. Surface images of each kiwifruit, captured with a digital camera, were utilized in the image processing method. The volume determined from image processing

Advances in image processing for detection of plant diseases
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We propose and experimentally evaluate a software solution for automatic detection and classification of plant leaf diseases. Studies of plant trait/disease refer to the studies of visually observable patterns of a particular plant. Nowadays crops face many traits/diseases

Enhanced watershed image processing segmentation
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Watershed is a most popular image processing method. Because image processing is emerging field and segmentation of nontrivial images is one of the very difficult tasks in image processing area. The proposed system is to enhance the watershed method Journal of Information

Projection filtering in image processing
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In this paper we shall consider the new projection scheme of local image processing of the visual information. It is based on an expansion into series of eigenfunctions of the Fourier transform. This scheme can be used for compression of images and any kind other media CSE PROJECTS

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