Advances in Image Analysis -free -2011
Smart Parking System Using Image Processing Techniques
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This study aims to improve parking facilities by the introduction of a new Smart Parking Systems that would reduce empty parking space searching time. Most of the recent parking technologies relies on intrusive sensor to detect empty parking space and did not
Multivariate image processing
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1.2. 2. Feature-based image registration 6 1.2. 3. Pixel-based image registration 8 1.2. 4. Discussion 9 1.3. Mapping models and image resampling 9 1.3. 1. Linear mapping models 9 1.3. 2. Non-linear mapping models 11 1.3. 3. Hybrid mapping 13 1.3. 4. Image resampling
Image Processing
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Page 1. Image Processing 1 Hakan Bilen University of Edinburgh Computer Graphics Fall 2017 Page 2. This week What is an image What is a digital image Image processing Point operations Linear operations (anti-aliasing) Fourier transformation Global optimization
Spatial second-derivative image processing : an application to optical mammography to enhance the detection of breast tumors
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We present an image - processing method that enhances the detection of regions of higher absorbance in optical mammograms. At the heart of this method lies a second-derivative operator that is commonly employed in edge-detection algorithms. The resulting images
A survey on threshold based segmentation technique in image processing
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The present paper describes the study of the threshold techniques in image segmentation. Image segmentation is one of the fundamental approaches of the digital image processing . Image segmentation is used widely in many applications. Several general purpose
Advances in image processing for autoradiography
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The next generation of techniques for image processing in autoradiography will extend the range for what is already a broad band method for functional mapping. Among the new tools under development are techniques to correct for tritium quenching. With these, high
An overview of the research on plant leaves disease detection using image processing techniques
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Diseases in plants cause major production and economic losses as well as reduction in both quality and quantity of agricultural products. Now a days plant diseases detection has received increasing attention in monitoring large field of crops. Farmers experience great
Image processing techniques for the quantification of atherosclerotic changes
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This paper describes the design and implementation of an o-line, non-invasive, automated method for the examination and follow up of the arteriosclerotic changes due to hypertension, with the help of digital image processing of fundus images. This method would
The astronomical image processing system
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The Astronomical Image Processing System, ALPS for short, is the National Radio Astronomy Observatory s contribution to the class of major image processing systems. It was one of the earliest of these systems and has grown to be, for a number of years, the largest
Tutorial in data parallel image processing
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An overview over data parallel image processing routines is given. The focus of this tutorial is on real time, low level image processing for parallel active vision systems. Image operator classes discussed are point operators, local operators, dithering, smoothing, edge detection
Adaptive fuzzy order statistics-rational hybrid filters for color image processing
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In this paper, multichannel image processing using an adaptive approach is studied. The proposed approach is simpler and more appropriate than the traditional approaches that have been addressed by means of groupwise vector ordering information. These adaptiveIn classical subdivision schemes, some initial discrete data set v 0 is refined iteratively, following a prescribed linear rule which is summarized by v^ j= S v^ j-1= ?= S^ jv^ 0 where vj are the numerical data at resolution 2-j and S the subdivision operator. One is usually
Granular computing in image processing and understanding
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Abstract Granular Computing (GrC) can be considered as a common name of theories, methodologies, techniques, and tools that make use of granules, ie groups, classes, or clusters of a universe, in the process of problems solving. Basic ideas of crisp information
Detection and classification of pests in greenhouse using image processing
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The techniques of machine vision and digital image Processing are extensively applied to agricultural science and it have great perspective especially in the plant protection field, which ultimately leads to crops management. The paper proposes a software prototype
An introduction to digital image processing
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Digital image processing allows one to enhance image features of interest while attenuating detail irrelevant to a given application, and then extract useful information about the scene from the enhanced image . This introduction is a practical guide to the challenges, and the
Tomato quality evaluation with image processing : A
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Tomatoes are in high demand because the world population consumes them daily. This research aims to improve tomato production and fruit quality through fruit measurement methods, which have a low impact factor on the fruit and plant during measurements. In the
Wavelet-based statistical image processing using hidden Markov tree model
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Wavelet-domain Hidden Markov Tree (HMT) model was recently proposed and applied to image processing , eg, image denoising and segmentation. In this paper, we further study the applications of the HMT model to image processing . For image denoising, we develop a
Gesture controlled robot using image processing
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Service robots directly interact with people, so finding a more natural and easy user interface is of fundamental importance. While earlier works have focused primarily on issues such as manipulation and navigation in the environment, few robotic systems are used with user
TESTIMAGES: a Large-scale Archive for Testing Visual Devices and Basic Image Processing Algorithms.
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We present the TESTIMAGES archive, a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays (ie monitors, televisions and digital cinema projectors) and image processing tecnhiques. The archive
Image processing tasks using parallel computing in multi core architecture and its applications in medical imaging
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To find accurate reliable result in image analysis, it is important that image is processed and analyzed using image processing suitable AI technique further at the same time it is highly desired that processing time must be minimum. Preprocessing of the image makes it CSE PROJECTS