Titlebook: Digital Image Processing; Bernd J?hne Book 19974th edition Springer-Verlag Berlin Heidelberg 1997 Digital imaging processing.Radiologieinf

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書目名稱Digital Image Processing影響因子(影響力)




書目名稱Digital Image Processing影響因子(影響力)學(xué)科排名




書目名稱Digital Image Processing網(wǎng)絡(luò)公開度




書目名稱Digital Image Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Image Processing被引頻次




書目名稱Digital Image Processing被引頻次學(xué)科排名




書目名稱Digital Image Processing年度引用




書目名稱Digital Image Processing年度引用學(xué)科排名




書目名稱Digital Image Processing讀者反饋




書目名稱Digital Image Processing讀者反饋學(xué)科排名

Heresy

Applications and Toolsverbal description and manual drawings. The next major step was the invention of . which enabled results to be documented objectively. Three prominent examples of scientific applications of photography are ., and .. Astronomers were able to measure positions and magnitudes of stars and photogrammete

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Multiscale Representationtures at scales of at most a few pixels distance. It is obvious that images contain information also at larger scales. To extract object features at these larger scales, we need correspondingly larger filter masks. The use of large masks, however, results in a significant increase in computational c

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ORBIT

Averages and Edgesmplementary to each other and of central importance for low-level image processing. They are both the basis for object recognition and — together with point operations — the building blocks for the more complex feature extraction operators discussed in Chaps. 11–13.

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Shape Analysis to which object. Now we can perform the next step and analyze the . of the objects. First, we discuss a class of neighborhood operations, the morphological operators on binary images, which work on the form of objects (Sect. 15.2). Second, we consider the question of how to represent a segmented ob