Segmenatation |
![Segmenatation Notes](/sites/all/themes/news/images/click.jpg) |
Basic information related to segmenatation |
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Homomorphic Filtering |
![Homomorphic Filtering Notes](/sites/all/themes/news/images/click.jpg) |
Overview, Spectral Domain Homomorphic Filtering, Spatial Domain Homomorphic Filtering
Homomorphic Filtering using a Low Pass Filter, Experiments, Summary |
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Segmentation by Morphological Watersheds |
![Segmentation by Morphological Watersheds Notes](/sites/all/themes/news/images/download.jpg) |
Instead of working on an image itself, this technique is often applied on its gradient image.
In this case, each object is distinguished from the background by its up-lifted edges |
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Image Segmentation |
![Image Segmentation Notes](/sites/all/themes/news/images/download.jpg) |
The goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces,
objects, or natural parts of objects. A segmentation could be used for object recognition, occlusion boundary
estimation within motion or stereo systems, image compression, image editing, or image database look-up. |
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Multi-Resolution Method for Improving Image Search |
![Multi-Resolution Method for Improving Image Search Notes](/sites/all/themes/news/images/download.jpg) |
Many applications of computer vision involve locating examples of known objects or structures in new images. Often the structures to be located can vary in shape, either because they are flexible or articulated, or because natural variation is present. Flexible
models have proved extremely useful in tackling such problems. |
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EM for Motion Segmentation |
![EM for Motion Segmentation Notes](/sites/all/themes/news/images/download.jpg) |
“Perceptually organized EM: A framework that combines information about form and motion”“A unified mixture framework for motion segmentation: incorporating spatial coherence and estimating the number of models”
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Motion Segmentation |
![Motion Segmentation Notes](/sites/all/themes/news/images/download.jpg) |
Focus on well organized patterns rather than disparate parts,“Grouping” - the idea behind visual perception ,Factors affecting the grouping process: proximity, similarity, closure, smoothness, symmetry, common fate and so on. |
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Digital Image Processing: Appilcations |
![Digital Image Processing: Appilcations Notes](/sites/all/themes/news/images/download.jpg) |
"Emeralds are usually concave so that they may concentrate the visual rays. The Emperor Nero used to watch in an Emerald the gladiatorial combats." The modern reinvention of spectacles occurred around 1280-1285 in Florence, Italy. It's uncertain who the inventor was. Some give credit to a nobleman named Amati (Salvino degli Armati, 1299 ). It has been said that he made the invention, but told
only a few of his closest friends |
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Wavelet and Multiresolution Processing |
![Wavelet and Multiresolution Processing Notes](/sites/all/themes/news/images/download.jpg) |
Unlike Fourier transform, whose basis functions are sinusoids, wavelet transforms are based on small waves,
called wavelets, of limited duration. Fourier transform provides only frequency information, but wavelet transform provides time-frequency
information. |
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Pyramid Methods In Image Processing |
![Pyramid Methods In Image Processing Notes](/sites/all/themes/news/images/download.jpg) |
Digital image processing is being used in many domains today. In image enhancement, or example, a variety of methods
now exist for removing image degradations and emphasizing important image information, and in computer graphics, digital
images can be generated, modified, and combined for a wide variety of visual effects. |
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Image Enhancement |
![Image Enhancement Notes](/sites/all/themes/news/images/download.jpg) |
Brightness control,Contrast enhancement,Noise reduction
Edge enhancement,Zooming.
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Homorphic Processing |
![Homorphic Processing Notes](/sites/all/themes/news/images/download.jpg) |
The objective of the project is to study and implement the techniques of multiplicative homomorphic systems designed for enhancing the images in spatial domain. The image can be characterized by two components, (1) the amount of source illumination incident and (2) amount of illumination reflected by the object. |
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Fundamentals of Image Processing |
![Fundamentals of Image Processing Notes](/sites/all/themes/news/images/download.jpg) |
Modern digital technology has made it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers. The goal of this manipulation can be divided into three categories. |
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Basics of Image Processing |
![Basics of Image Processing Notes](/sites/all/themes/news/images/download.jpg) |
importing image data to your RS processing/GIS software,radiometric image correction,
geometric image correction (georeferencingand geo-coding) |
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Application of Image Processing |
![Application of Image Processing Notes](/sites/all/themes/news/images/download.jpg) |
The Ministry of Land, Infrastructure and Transport supervises facilities such as rivers, embankments, and roads that play important
roles when a disaster occurs and could themselves become, in some cases, disaster sites. |
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