Download e-book for kindle: Image Processing. The Fundamentals 2nd by Maria Petrou, Costas Petrou

By Maria Petrou, Costas Petrou

Following the good fortune of the 1st variation, this completely up-to-date moment variation of photograph Processing: the basics will make sure that it continues to be the suitable textual content for an individual looking an advent to the fundamental ideas of photo processing. New fabric contains photograph processing and color, sine and cosine transforms, self sustaining part research (ICA), part congruency and the monogenic sign and a number of other new themes. those updates are mixed with insurance of vintage themes in picture processing, akin to orthogonal transforms and photograph enhancement, making this a really finished textual content at the subject.

Key features:
Presents fabric at degrees of hassle: the most textual content addresses the basic strategies and provides a extensive view of photograph processing, when extra complicated fabric is interleaved in bins in the course of the textual content, delivering additional reference in the event you desire to research each one method intensive.
Contains a lot of totally labored out examples.
Focuses on an knowing of the way snapshot processing equipment paintings in perform.
Illustrates advanced algorithms on a step by step foundation, and lists not just the great practices but in addition identifies the pitfalls in each one case.
Uses a transparent query and solution constitution.
Includes a CD containing the MATLAB® code of a number of the examples and algorithms awarded within the e-book. there's additionally an accompanying web site with slides to be had for obtain for teachers as a instructing source.

Image Processing: the basics, moment variation is a perfect instructing source for either undergraduate and postgraduate scholars. it's going to even be of worth to researchers of assorted disciplines from medication to arithmetic with a qualified curiosity in photo processing

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Extra info for Image Processing. The Fundamentals 2nd

Example text

Apply this operator to a 3 × 3 image g. Assume that the image is repeated ad infinitum in all directions, so that all its pixels have neighbours. 39). 41) In order to construct matrix H we must deduce from the above result the weight by which a pixel at position (x, y) of the input image contributes to the value of a pixel at position (α, β) of the output image. Such value will be denoted by h(x, α, y, β). 43) 21 1. 9 The effect of a linear operator is to subtract from every pixel its right neighbour.

Hc1N ... ⎞ ⎛ hcN 1 hc11 ⎜ hc12 hcN 2 ⎟ ⎟ ⎜ .. ⎟ . . hrN 1 ⎜ .. ⎠ ⎝ . ... . . hcN N ⎞ ⎛hc1N . . hcN 1 hc11 ⎜ hc12 . . hcN 2 ⎟ ⎟ ⎜ .. ⎟ . . hrN 2 ⎜ .. ⎝ . ⎠ . . hcN N .. .. ... ... ... hc1N ⎞ ⎛ hc11 hcN 1 ⎜ hc12 hcN 2 ⎟ ⎟ ⎜ .. ⎟ . . hrN N ⎜ .. ⎝ . ⎠ . . hcN N hc1N .. .. ... ... ⎞⎞ hcN 1 hcN 2 ⎟ ⎟⎟ ⎟ .. ⎟⎟ . ⎠⎟ ⎟ hcN N ⎞⎟ ⎟ hcN 1 ⎟ ⎟ ⎟ hcN 2 ⎟ ⎟⎟ .. ⎟⎟ . ⎠⎟ ⎟ hcN N ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎞⎟ hcN 1 ⎟ ⎟ ⎟ hcN 2 ⎟ ⎟⎟ .. ⎟⎟ . 89) Here the arguments of functions hc (x, α) and hr (y, β) have been written as indices to save space.

Linear operators are defined in terms of their point spread functions. 12) where δ(α − x, β − y) is a point source of brightness 1 centred at point (x, y). What is the relationship between the point spread function of an imaging device and that of a linear operator? They both express the effect of either the imaging device or the operator on a point source. In the real world a star is the nearest to a point source. Assume that we capture the image of a star by using a camera. The star will appear in the image like a blob: the camera received the light of the point source and spread it into a blob.

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Image Processing. The Fundamentals 2nd by Maria Petrou, Costas Petrou


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