Titlebook: Digital Image Processing; An Algorithmic Intro Wilhelm Burger,Mark James Burge Textbook 20081st edition Springer-Verlag London 2008 Digital

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Albert R. Weinhold,James B. SinclairFigure 10.1 illustrates once more how corners are rounded off, holes of a certain size are filled, and small structures, such as single dots or thin lines, are removed. The median filter thus responds selectively to the local shape of image structures, a property that might be useful for other purpo

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Johannes Max,Burkhard Sattelmacherprinting. Color perception is a fascinating and complicated phenomenon that has occupied the interest of scientists, psychologists, philosophers, and artists for hundreds of years [88, 92]. In this chapter, we focus on those technical aspects of color that are most important for working with digital

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Rhizodeposition und Stoffverwertunginto sine and cosine functions—which are also known as . functions—using the well-known .. Students often consider this a difficult topic, mainly because of its mathematical flavor and that its practical applications are not immediately obvious. Indeed, most common operations and methods in digital

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Engineering Transgenic Rhizomania Resistancese where the original signal was strictly real-valued. The reason is that neither the real nor the imaginary part of the Fourier spectrum alone is sufficient to represent (i. e., reconstruct) the signal completely. In other words, the corresponding cosine (for the real part) or sine functions (for t

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Enrico Biancardi,Robert T. Lewellench pixel and thus the geometry of the image remains the same. The purpose of geometric operations, which are discussed in this chapter, is to deform an image by altering its geometry. Typical examples are shifting, rotating, or scaling images, as shown in Fig. 16.1. Geometric operations are frequent

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Engineering Transgenic Rhizomania Resistanceasured? Of course one could trivially define two images ., . as being identical when all pixel values are the same (i. e., the difference .–. is zero). Although this kind of definition may be useful in specific applications, such as for detecting changes in successive images under constant lighting

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Histograms,lems in an image, for example, it is simple to conclude if an image is properly exposed by visual inspection of its histogram. In fact, histograms are so useful that modern digital cameras often provide a real-time histogram overlay on the viewfinder (Fig. 4.1) to help prevent taking poorly exposed

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Filters,. position. The capabilities of point operations are limited, however. For example, they cannot accomplish the task of sharpening or smoothing an image (Fig. 6.1). This is what filters can do. They are similar to point operations in the sense that they also produce a 1:1 mapping of the image coordin

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Edges and Contours,ption and interpretation of images. The perceived amount of information in an image appears to be directly related to the distinctiveness of the contained structures and discontinuities. In fact, edge-like structures and contours seem to be so important for our human visual system that a few lines i

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