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

By Steven L. Tanimoto

This publication explores picture processing from a number of views: the inventive, the theoretical (mainly mathematical), and the programmatical. It explains the fundamental ideas of picture processing, drawing on key suggestions and methods from arithmetic, psychology of notion, desktop technological know-how, and paintings, and introduces computing device programming in an effort to get extra regulate over photo processing operations. It does so with no requiring college-level arithmetic or earlier programming event. The content material is supported by way of PixelMath, a freely on hand software that is helping the reader comprehend photos as either visible and mathematical items. the 1st a part of the e-book covers such subject matters as electronic picture illustration, sampling, brightness and distinction, colour versions, geometric adjustments, synthesizing photos, stereograms, photomosaics, and fractals. the second one a part of the e-book introduces machine programming utilizing an open-source model of the easy-to-learn Python language. It covers the fundamentals of snapshot research and development popularity, together with area detection, convolution, thresholding, contour illustration, and K-nearest-neighbor category. A bankruptcy on computational images explores such matters as high-dynamic-range imaging, autofocusing, and techniques for immediately inpainting to fill gaps or get rid of undesirable gadgets in a scene. functions defined comprise the layout and implementation of an image-based online game. The PixelMath software program presents a "transparent" view of electronic photographs via permitting the person to view the RGB values of pixels through zooming in on a picture. PixelMath presents 3 interfaces: the pixel calculator; the formulation web page, a sophisticated extension of the calculator; and the Python window.

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