Digital Image Processing is to perform Image Processing on images with the help of Algorithms. Now a day's Image processing technique
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In this paper we introduce how to handle different kinds of image formats in MATLAB 9.3 by using Matlab Workspace and its Various Commands. Also we illustrated example of processing the images. Shete S. G. | Ghadge Nagnath G. "Image Processing in MAT
Description on commonly used noise models in image processing applications and effect of adding noise on image histogram
This is book very useful those who are working in image processingFull description
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Lab manual for B.E. Biomedical Engineering BM2406 Digital Image Processing Lab Manual of Anna University
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Jensen
Digital Image Processing
Computer Science Department of The University of Auckland CITR at Tamaki Campus (http://www.citr.auckland.ac.nz/)
CITR-TR-112
July 2002
Skeletons in Digital Image Processing Gisela Klette 1
Abstract
Skeletonization is a transformation of a component of a digital image into a subset of the original component. There are different categories of skeletonization methods: one category is based on distance transforms, and a specified subset of the transformed image is a distance skeleton. The original component can be reconstructed from the distance skeleton. Another category is defined by thinning approaches; and the result of skeletonization using thinning algorithms should be a connected set of digital curves or arcs. Motivations for interest in skeletonization algorithms are the need to compute a reduced amount of data or to simplify the shape of an object in order to find features for recognition algorithms and classifications. Additionally the transformation of a component into an image showing essential characteristics can eliminate local noise at the frontier. Thinning algorithms are a very active area of research, with a main focus on connectivity preserving methods allowing parallel implementation. There are hundreds of publications on different aspects of these transformations. This report reviews contributions in this area with respect to properties of algorithms and characterizations of simple points, and informs about a few new results.
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Centre for Image Technology and Robotics, Tamaki Campus, Building 731, The University of Auckland, Morrin Road, Glen Innes, Auckland 1005, New Zealand.
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