Download An Interdisciplinary Introduction to Image Processing: by Steven L. Tanimoto PDF

By Steven L. Tanimoto

ISBN-10: 0262017164

ISBN-13: 9780262017169

This ebook explores snapshot processing from numerous views: the artistic, the theoretical (mainly mathematical), and the programmatical. It explains the fundamental ideas of photo processing, drawing on key thoughts and strategies from arithmetic, psychology of conception, laptop technological know-how, and paintings, and introduces machine programming with the intention to get extra regulate over photograph processing operations. It does so with no requiring college-level arithmetic or previous programming event. The content material is supported via PixelMath, a freely to be had software that is helping the reader comprehend pictures as either visible and mathematical gadgets.

The first a part of the publication covers such issues as electronic picture illustration, sampling, brightness and distinction, colour versions, geometric adjustments, synthesizing photographs, stereograms, photomosaics, and fractals. the second one a part of the e-book introduces laptop programming utilizing an open-source model of the easy-to-learn Python language. It covers the fundamentals of snapshot research and trend acceptance, together with part detection, convolution, thresholding, contour illustration, and K-nearest-neighbor class. A bankruptcy on computational images explores such matters as high-dynamic-range imaging, autofocusing, and techniques for instantly inpainting to fill gaps or eliminate undesirable items in a scene. purposes defined comprise the layout and implementation of an image-based video game. The PixelMath software program offers a "transparent" view of electronic pictures through permitting the consumer to view the RGB values of pixels via zooming in on a picture. PixelMath offers 3 interfaces: the pixel calculator; the formulation web page, a sophisticated extension of the calculator; and the Python window.

Show description

Read or Download An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs PDF

Similar python books

Learning Python: Powerful Object-Oriented Programming (4th Edition)

Google and YouTube use Python simply because it's hugely adaptable, effortless to keep up, and allows quick improvement. as a way to write top of the range, effective code that's simply built-in with different languages and instruments, this hands-on booklet may also help you be efficient with Python fast -- even if you're new to programming or simply new to Python.

Real Python: An Introduction to Python Through Practical Examples

An publication to educate programming via hands-on, fascinating examples which are important and fun!

Python is a brilliant programming language. It's loose, robust, more straightforward to learn than so much languages, and has extensions to be had to do virtually whatever you may think automatically.

But how do you certainly use it? There are hundreds assets in the market for studying Python, yet none of them are very functional or fascinating - as an alternative, they pass over each one suggestion one after the other, by no means tying something jointly, yet spending lots of time misplaced in technical language, discussing the twenty alternative ways to complete each one easy job. ..

I are looking to write an booklet that at last supplies a concise creation to every thing you could really are looking to do with Python.

We'll commence with a short yet thorough assessment of all of the fundamentals, so that you don't even want any earlier adventure with programming. however the majority of the publication should be spent increase instance code to resolve fascinating real-world problems.

Python is astounding for automating repetitive projects that will in a different way take you hours - for example, fast collecting information from the net, or renaming enormous quantities of documents. a number of the themes that I'm making plans to cover:

Collecting information from webpages (web scraping)
Interacting with PDF documents - interpreting information, developing PDFs, enhancing pages, including passwords. ..
Interacting with Excel records (less performance in OS X)
Calling different open air courses from inside of Python
Files - read/write/modify, unzip, rename, circulation, etc.
Basic video game development
Interacting with SQL databases (internal and ODBC connections)
GUI (Graphical consumer Interface) layout - growing basic point-and-click courses that any one can use
Any different themes that you simply, my backers, are such a lot in!
Update: by means of renowned call for, I'll be including internet program development

All comparable direction fabrics downloadable at: http://www. psychotix. com/share/Real_Python. zip

Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms explains the Python method of set of rules research and layout.

Written by means of Magnus Lie Hetland, writer of starting Python, this e-book is sharply occupied with classical algorithms, however it additionally offers an effective realizing of primary algorithmic problem-solving concepts.

The ebook offers with one of the most very important and tough parts of programming and machine technology, yet in a hugely pedagogic and readable manner.

The ebook covers either algorithmic thought and programming perform, demonstrating how concept is mirrored in actual Python programs.

Well-known algorithms and knowledge constructions which are equipped into the Python language are defined, and the consumer is proven how you can enforce and review others himself.

Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing

Basic checking out methodologies utilized to the preferred Python language

Testing Python; making use of Unit checking out, TDD, BDD and recognition trying out is the main entire e-book on hand on trying out for one of many most sensible software program programming languages on the planet. Python is a typical selection for brand spanking new and skilled builders, and this hands-on source is a miles wanted advisor to enterprise-level trying out improvement methodologies. The ebook will convey you why Unit trying out and TDD may end up in cleanser, extra versatile programs.

Unit trying out and Test-Driven improvement (TDD) are more and more must-have talents for software program builders, it doesn't matter what language they paintings in. In company settings, it's severe for builders to make sure they constantly have operating code, and that's what makes checking out methodologies so beautiful. This e-book will train you the main familiar checking out options and may introduce to you to nonetheless others, protecting functionality checking out, non-stop trying out, and more.

Learn Unit trying out and TDD—important improvement methodologies that lie on the center of Agile development
Enhance your skill to paintings with Python to increase robust, versatile functions with fresh code
Draw at the services of writer David Sale, a number one united kingdom developer and tech commentator
Get prior to the gang by means of studying the underappreciated international of Python testing
Knowledge of software program checking out in Python may set you except Python builders utilizing superseded methodologies. Python is a typical healthy for TDD and trying out Python is a must-read textual content for someone who desires to enhance services in Python programming.

Extra info for An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs

Sample text

It’s also possible to upload an image file to the server from your PC in order to make it available to PixelMath. 12 (plate 5) PixelMath startup: (a) the launch pad and (b) the calculator with the cover still closed. Once you have selected the image file and clicked on OK, the image will be read into the PixelMath program’s memory area, a new window will be created, and the image will be displayed on the monitor. If there is any problem reading or downloading the image file, you may see an error message (possibly in the Java console of your browser).

The signal might be an image, some audio, or the output of some scientific instrument like a seismograph. The answer depends on the size of the smallest details that must not be lost in the digitization. If the smallest details are dots of diameter d and they are separated by gaps no smaller than d, then we’ll need our samples to be separated by a distance of no more than d. This is one form of the Nyquist criterion. The classic way of presenting the Nyquist criterion is using the terminology of oscillations: wave, frequency, cycle, phase, and amplitude.

Leave the R,G,B values at their defaults. 7 Exercises 39 Set the Destination choice on the calculator (lowest of three choices in the middle of the calculator) to the new window. 5 + 273). Now click on the calculator’s Compute button to apply the formula. 5 pixels. PixelMath does automatic interpolation to compute values between pixel centers. h. 5) to try to minimize the number of pixels you need to represent the picket fence with most of the pickets still distinguishable. What factor did you end up with?

Download PDF sample

Rated 4.37 of 5 – based on 9 votes