作者: 行為 時間: 2025-3-21 23:23 作者: Cupping 時間: 2025-3-22 04:10 作者: 大氣層 時間: 2025-3-22 06:35
Springer-Verlag Berlin Heidelberg 1993作者: 開花期女 時間: 2025-3-22 10:28
The Mysteries of the Age-Old Pulseverbal description and manual drawings. The next major step was the invention of photography which enabled results to be documented objectively. Three prominent examples of scientific applications of photography are astronomy, photogrammetry, and particle physics. Astronomers were able to measure po作者: BOLUS 時間: 2025-3-22 14:20
Strange Occurrences in Life’s Channelsages requires a good understanding of the image formation process. Only with a profound knowledge of all the steps involved in image acquisition, is it possible to interpret the contents of an image correctly. The steps necessary for an object in the three-dimensional world to become a digital image作者: BOLUS 時間: 2025-3-22 21:07
The Elusive Ventricular Extra-Beatand digitization. Throughout the whole discussion in the last chapter we used the continuous Fourier transform. Proceeding now to discrete imagery, the question arises whether there is a discrete analogue to the continuous Fourier transform. Such a transformation would allow us to decompose a discre作者: 鉤針織物 時間: 2025-3-22 21:53
The Sawtooth Rhythm: Atrial Flutteressing. The simplest processing is to handle these pixels as individual objects or measuring points. This approach enables us to regard image formation as a measuring process which is corrupted by noise and systematic errors. Thus we learn to handle image data as statistical quantities. As long as w作者: 修飾 時間: 2025-3-23 02:09 作者: 彎曲道理 時間: 2025-3-23 08:06 作者: 大門在匯總 時間: 2025-3-23 11:45 作者: 集合 時間: 2025-3-23 16:37
Chemical Modifications of Ribosomal RNA than the size of the image. This inevitably means that they can only extract local features. We have already seen a tendency that analysis of a more complex feature such as local orientation (chapter 7) requires larger neighborhoods than computing, for example, a simple property such as the Laplaci作者: 走路左晃右晃 時間: 2025-3-23 20:18 作者: 泰然自若 時間: 2025-3-23 22:45 作者: 榮幸 時間: 2025-3-24 05:08
https://doi.org/10.1007/978-1-0716-2501-9the next step and analyze the . of the objects. This is the topic of this chapter. First we will discuss a class of neighborhood operations, the morphological operators on binary images, which work on the form of objects. Second, we will consider the question how to represent a segmented object. Thi作者: 割公牛膨脹 時間: 2025-3-24 06:33 作者: Dungeon 時間: 2025-3-24 13:55 作者: Nucleate 時間: 2025-3-24 18:48 作者: Confidential 時間: 2025-3-24 22:12 作者: 粗糙 時間: 2025-3-25 00:27
http://image.papertrans.cn/d/image/279441.jpg作者: 相信 時間: 2025-3-25 06:25
Image Formation and Digitization,ages requires a good understanding of the image formation process. Only with a profound knowledge of all the steps involved in image acquisition, is it possible to interpret the contents of an image correctly. The steps necessary for an object in the three-dimensional world to become a digital image in the memory of a computer are as follows:作者: Compatriot 時間: 2025-3-25 09:44
Space and Wave Number Domain,and digitization. Throughout the whole discussion in the last chapter we used the continuous Fourier transform. Proceeding now to discrete imagery, the question arises whether there is a discrete analogue to the continuous Fourier transform. Such a transformation would allow us to decompose a discrete image directly into its periodic components.作者: 粗俗人 時間: 2025-3-25 12:03
Neighborhoods,eighborhood, we are within an area of constant gray values. This could mean that the neighborhood is included in an object. If the gray value changes, we might be at the edge of an object. In this way, we recognize areas of constant gray values and edges.作者: 掙扎 時間: 2025-3-25 18:18
Motion,y to motion pictures. Only in image sequences can we recognize and analyze dynamic processes. Thus the analysis of image sequences opens up far-reaching possibilities in science and engineering. A few examples serve as illustration:作者: achlorhydria 時間: 2025-3-25 20:07 作者: coagulation 時間: 2025-3-26 02:10
Strange Occurrences in Life’s Channelsages requires a good understanding of the image formation process. Only with a profound knowledge of all the steps involved in image acquisition, is it possible to interpret the contents of an image correctly. The steps necessary for an object in the three-dimensional world to become a digital image in the memory of a computer are as follows:作者: 是限制 時間: 2025-3-26 06:31 作者: CRAMP 時間: 2025-3-26 09:03 作者: heckle 時間: 2025-3-26 15:39 作者: 裂口 時間: 2025-3-26 17:01
Rong Wang,Steve W. Cotten,Rihe Liucontinuous . (DVF) can be estimated. The idea is to collect the sparse velocity information obtained with the local operations discussed in the last chapter and to compose it into a consistent picture of the motion in the scene observed.作者: Heterodoxy 時間: 2025-3-26 23:38
Michael Jüttner,Sébastien Ferreira-CercaWhen objects are detected with suitable operators and their shape is described (see chapter 11), image processing has reached its goal for some applications. For other applications, further tasks remain to be solved. In this introduction we explore several examples which illustrate how the image processing tasks depend on the questions we pose.作者: 抗原 時間: 2025-3-27 05:00 作者: Rejuvenate 時間: 2025-3-27 07:58 作者: 挑剔小責(zé) 時間: 2025-3-27 11:21 作者: 遠(yuǎn)地點 時間: 2025-3-27 16:35 作者: 沉積物 時間: 2025-3-27 20:52
Image Formation and Digitization,ages requires a good understanding of the image formation process. Only with a profound knowledge of all the steps involved in image acquisition, is it possible to interpret the contents of an image correctly. The steps necessary for an object in the three-dimensional world to become a digital image作者: 拋物線 時間: 2025-3-27 22:51
Space and Wave Number Domain,and digitization. Throughout the whole discussion in the last chapter we used the continuous Fourier transform. Proceeding now to discrete imagery, the question arises whether there is a discrete analogue to the continuous Fourier transform. Such a transformation would allow us to decompose a discre作者: 自然環(huán)境 時間: 2025-3-28 03:39
Pixels,essing. The simplest processing is to handle these pixels as individual objects or measuring points. This approach enables us to regard image formation as a measuring process which is corrupted by noise and systematic errors. Thus we learn to handle image data as statistical quantities. As long as w作者: 使害羞 時間: 2025-3-28 07:51 作者: PATRI 時間: 2025-3-28 12:29
Mean and Edges,termination of a correct mean value also includes the suppression of distortions in the gray values caused by sensor noise or transmission errors. Changes in the gray value mean, in the simplest case, the edges of objects. Thus . and . are complementary operations. While smoothing gives adequate ave作者: Precursor 時間: 2025-3-28 15:10
Local Orientation, the edges. We concentrated on the detection of edges, but we did not consider how to determine their . Orientation is a significant property not only of edges but also of any pattern that shows a preferred direction. The . of a pattern is the property which leads the way to a description of more co作者: 伴隨而來 時間: 2025-3-28 19:01 作者: Capture 時間: 2025-3-28 23:50
Texture,enabled us to distinguish objects not only because of their gray values but also because of the orientation of the patterns (compare figure 7.1). Real-world objects often carry patterns which differ not only in their orientation, but also in many other parameters. Our visual system is capable of rec作者: Parabola 時間: 2025-3-29 06:56
Segmentation, us to distinguish them from other objects and from the background. The next step is to check each individual pixel whether it belongs to an object of interest or not. This operation is called . and produces a . A pixel has the value one if it belongs to the object; otherwise it is zero. Segmentatio作者: patriot 時間: 2025-3-29 09:17 作者: 支架 時間: 2025-3-29 13:47 作者: 記成螞蟻 時間: 2025-3-29 17:43 作者: 碌碌之人 時間: 2025-3-29 23:19 作者: mosque 時間: 2025-3-30 02:33 作者: stroke 時間: 2025-3-30 08:03 作者: BOLUS 時間: 2025-3-30 08:52 作者: textile 時間: 2025-3-30 14:11 作者: 聯(lián)邦 時間: 2025-3-30 20:01
https://doi.org/10.1007/978-1-0716-2501-9ological operators on binary images, which work on the form of objects. Second, we will consider the question how to represent a segmented object. Third, we will discuss parameters to describe the form of objects.作者: 并置 時間: 2025-3-30 23:55
Pixels,e are confined to individual pixels, we can apply the classical concepts of statistics which are used to handle point measurements, e. g., the measurement of meteorological parameters at a weather station such as air temperature, wind speed and direction, relative humidity, and air pressure.作者: esoteric 時間: 2025-3-31 04:53 作者: 沒收 時間: 2025-3-31 05:48 作者: 善于 時間: 2025-3-31 10:28
Michael Jüttner,Sébastien Ferreira-Cercain chapter 11. In this chapter, we discuss several types of segmentation meth-ods. Basically we can think of three concepts for segmentation. Pixel-based methods only use the gray values of the individual pixels. Edge-based methods detect edges and then try to follow the edges. Finally, region-based methods analyze the gray values in larger areas.作者: 不來 時間: 2025-3-31 13:59
Etienne Boileau,Christoph Dieterich15.2) temporal derivatives play an essential role (see (15.5), (15.12), and (15.27)). With only two consecutive images of a sequence, we can approximate the temporal derivative just by the difference between the two images. This may be the simplest approximation, but not necessarily the best (see section 6.3.5).作者: 會犯錯誤 時間: 2025-3-31 21:20 作者: minimal 時間: 2025-3-31 21:44 作者: 表狀態(tài) 時間: 2025-4-1 02:10
Space-Time Images,15.2) temporal derivatives play an essential role (see (15.5), (15.12), and (15.27)). With only two consecutive images of a sequence, we can approximate the temporal derivative just by the difference between the two images. This may be the simplest approximation, but not necessarily the best (see section 6.3.5).作者: 粉筆 時間: 2025-4-1 07:11
Book 19932nd editioneir visual sense. While for a long time images could only be captured by photography, we are now at the edge of another technological revolution which allows image data to be captured, manipulated, and evaluated electronically with computers. With breathtaking pace, computers are becoming more power
