Titlebook: Digital Image Processing; An Algorithmic Intro Wilhelm Burger,Mark J. Burge Textbook 20223rd edition Springer Nature Switzerland AG 2022 Di

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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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Coronary-Spasm

Corner Detectionelated images (.), determining the correspondence between stereo images, serving as reference points for precise geometrical measurements, and calibrating camera systems for machine vision applications. Thus corner points are not only important in human vision but they are also “robust” in the sense

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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 Sect. 3.1.4.

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Fitting Straight Lineses and, on the other hand, straight lines are quite rare in natural images. In this chapter we first look at how we can describe lines mathematically and which parameterizations are best suited for our purpose, which is how to fit a line to a given set of 2D data points under some optimality criteri

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Fitting Circles and Ellipsesine, physics, remote sensing, archeology, etc. Despite the classic nature of this problem, reliable and efficient algorithms have only been developed in the last few decades and are still a topic of active research. As with straight lines (see Ch. 10) the goal is to find an optimal orthogonal fit of

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Color Imagesprinting. Color perception is a fascinating and complicated phenomenon that has occupied the interests of scientists, psychologists, philosophers, and artists for hundreds of years [238, 246]. In this chapter, we focus on those technical aspects of color that are most important for working with digi

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