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

作者: Ejaculation    時間: 2025-3-21 16:08
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





作者: Limerick    時間: 2025-3-21 21:48
Engineering Transgenic Rhizomania Resistance to recognize similarity between images, even when a direct comparison between individual pixels would not indicate any match. The problem of comparing images at a structural or semantic level is a difficult problem and an interesting research field, for example in the context of image-based searche
作者: Pelvic-Floor    時間: 2025-3-22 01:43

作者: 喃喃而言    時間: 2025-3-22 08:03

作者: 隱藏    時間: 2025-3-22 08:50

作者: 解開    時間: 2025-3-22 15:54
Comparing Images, to recognize similarity between images, even when a direct comparison between individual pixels would not indicate any match. The problem of comparing images at a structural or semantic level is a difficult problem and an interesting research field, for example in the context of image-based searche
作者: 解開    時間: 2025-3-22 20:07

作者: Painstaking    時間: 2025-3-23 00:33
Springer-Verlag London 2008
作者: 在前面    時間: 2025-3-23 05:14

作者: scrutiny    時間: 2025-3-23 07:00

作者: 秘密會議    時間: 2025-3-23 13:22
Regions in Binary Images,In binary images, a pixel can take on exactly one of two values. These values are often thought of as representing the “foreground” and “background” in the image, even though these concepts often are not applicable to natural scenes. In this chapter we focus on regions in images and how to isolate and describe such structures.
作者: 有雜色    時間: 2025-3-23 16:10

作者: 事先無準備    時間: 2025-3-23 21:27

作者: 戰(zhàn)役    時間: 2025-3-24 00:31
Texts in Computer Sciencehttp://image.papertrans.cn/d/image/279438.jpg
作者: amplitude    時間: 2025-3-24 05:08
Digital Image Processing978-1-84628-968-2Series ISSN 1868-0941 Series E-ISSN 1868-095X
作者: Compatriot    時間: 2025-3-24 07:34
https://doi.org/10.1007/978-1-4757-4262-6lems 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
作者: 不可磨滅    時間: 2025-3-24 11:43

作者: Insubordinate    時間: 2025-3-24 15:35
Albert R. Weinhold,James B. Sinclairption 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
作者: META    時間: 2025-3-24 22:33

作者: 平息    時間: 2025-3-25 00:54
https://doi.org/10.1007/978-94-017-2901-7on at every position in the image. In the following sections, we explain how to decide (for example, 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 conside
作者: JAUNT    時間: 2025-3-25 03:59
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
作者: 招待    時間: 2025-3-25 10:45
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
作者: 集聚成團    時間: 2025-3-25 12:55
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
作者: 構(gòu)想    時間: 2025-3-25 18:50
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
作者: HARP    時間: 2025-3-25 22:53
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
作者: 專心    時間: 2025-3-26 02:58
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
作者: 易于    時間: 2025-3-26 06:01
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
作者: BUOY    時間: 2025-3-26 11:58
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
作者: CRUE    時間: 2025-3-26 13:51
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
作者: Iatrogenic    時間: 2025-3-26 20:23

作者: GULF    時間: 2025-3-27 00:58
Detecting Simple Curves,on at every position in the image. In the following sections, we explain how to decide (for example, 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 conside
作者: 粗魯?shù)娜?nbsp;   時間: 2025-3-27 03:01

作者: Infinitesimal    時間: 2025-3-27 07:04
Color Images,printing. 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
作者: keloid    時間: 2025-3-27 11:56

作者: FLAGR    時間: 2025-3-27 15:44
The Discrete Cosine Transform (DCT),se 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
作者: Somber    時間: 2025-3-27 18:39
Geometric Operations,ch 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
作者: fixed-joint    時間: 2025-3-28 01:41

作者: 可憎    時間: 2025-3-28 05:25

作者: Nutrient    時間: 2025-3-28 08:38
Corner Detection, in machine vision, where they belong to the small set of features referred to as “robust”. Robust features are those that, for the most part, do not arise accidentally in 3D scenes and furthermore can be relatively consistently and accurately located under a wide range of viewing angles and lighting conditions.
作者: 的’    時間: 2025-3-28 13:29

作者: INTER    時間: 2025-3-28 17:44
Introduction to Spectral Techniques,image processing can be sufficiently described in the original signal or image space without even mentioning spectral techniques. This is the reason why we pick up this topic relatively late in this text.
作者: enmesh    時間: 2025-3-28 22:02
https://doi.org/10.1007/978-1-4757-4262-6possible to recover later using image-processing techniques. In addition to their usefulness during image capture, histograms are also used later to improve the visual appearance of an image and as a “forensic” tool for determining what type of processing has previously been applied to an image.
作者: 尖    時間: 2025-3-29 01:47

作者: ADORN    時間: 2025-3-29 03:50
Enrico Biancardi,Robert T. Lewellenges in graphic or video applications can be zoomed continuously to arbitrary size. Geometric image operations are also important in computer graphics where textures, which are usually raster images, are deformed to be mapped onto the corresponding 3D surfaces, possibly in real time.
作者: 流眼淚    時間: 2025-3-29 08:00

作者: cataract    時間: 2025-3-29 11:43

作者: 淡紫色花    時間: 2025-3-29 17:53
Geometric Operations,ges in graphic or video applications can be zoomed continuously to arbitrary size. Geometric image operations are also important in computer graphics where textures, which are usually raster images, are deformed to be mapped onto the corresponding 3D surfaces, possibly in real time.
作者: 挫敗    時間: 2025-3-29 20:26
1868-0941 discussed at a fundamental level.Practical examples and exe."This will be one of my continuing reference books for some time to come.".Steve Cunningham, PhD, Past President of SIGGRAPH."An excellent resource for the users of ImageJ.".Wayne Rasband, author of ImageJ..This modern, self-contained, tex
作者: 我說不重要    時間: 2025-3-30 00:49
Rollin K. Daniel MD,Péter Pálházi MDe (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 coordinates (i. e., the geometry of the image does not change).
作者: hankering    時間: 2025-3-30 06:49

作者: 大暴雨    時間: 2025-3-30 08:49
Engineering Transgenic Rhizomania Resistanceficient to represent (i. e., reconstruct) the signal completely. In other words, the corresponding cosine (for the real part) or sine functions (for the imaginary part) alone do not constitute a complete set of basis functions.
作者: Opponent    時間: 2025-3-30 12:35
Filters,e (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 coordinates (i. e., the geometry of the image does not change).
作者: 歡呼    時間: 2025-3-30 16:50
Color Images,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 color images. Our emphasis will be on understanding the various representations of color and correctly utilizing them when programming.




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