Titlebook: Digital Image Processing; An Algorithmic Intro Wilhelm Burger,Mark J. Burge Textbook 20162nd edition Springer-Verlag London Ltd., part of S

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书目名称Digital Image Processing影响因子(影响力)




书目名称Digital Image Processing影响因子(影响力)学科排名




书目名称Digital Image Processing网络公开度




书目名称Digital Image Processing网络公开度学科排名




书目名称Digital Image Processing被引频次




书目名称Digital Image Processing被引频次学科排名




书目名称Digital Image Processing年度引用




书目名称Digital Image Processing年度引用学科排名




书目名称Digital Image Processing读者反馈




书目名称Digital Image Processing读者反馈学科排名

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ImageJ,ssing tools or, out of necessity, developed their own software packages. Usually such home-brew environments started out with small software components for loading and storing images from and to disk files. This was not always easy because often one had to deal with poorly documented or even proprie

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Histograms and Image Statistics,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. 3.1) 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 . or . an image (Fig. 5.1). 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 coordinates, that is, t

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Finding Simple Curves: The Hough Transform,entation at every position in the image. In the following sections, we explain how to decide (e.g., by using a threshold operation on the edge strength) if a curve is actually present at a given image location. The result of this process is generally represented as a binary .. Edge maps are consider

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Morphological Filters,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 purposes if it

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Automatic Thresholding, applications today because of their simplicity and efficiency. To obtain a binary image, the first and perhaps most critical step is to convert the initial grayscale (or color) image to a binary image, in most cases by performing some form of thresholding operation, as described in Chapter 4, Sec.

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