標(biāo)題: Titlebook: Digital Image Processing; An Algorithmic Intro Wilhelm Burger,Mark J. Burge Textbook 20162nd edition Springer-Verlag London Ltd., part of S [打印本頁(yè)] 作者: 浮華 時(shí)間: 2025-3-21 19:56
書目名稱Digital Image Processing影響因子(影響力)
作者: obnoxious 時(shí)間: 2025-3-21 22:53
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作者: 詢問(wèn) 時(shí)間: 2025-3-22 00:29
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 作者: 連鎖 時(shí)間: 2025-3-22 04:57
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作者: 白楊魚(yú) 時(shí)間: 2025-3-22 10:39 作者: ELUDE 時(shí)間: 2025-3-22 15:56 作者: ELUDE 時(shí)間: 2025-3-22 17:55
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作者: Nefarious 時(shí)間: 2025-3-22 22:10
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 作者: Employee 時(shí)間: 2025-3-23 01:38
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. 作者: 搜集 時(shí)間: 2025-3-23 09:20 作者: FIN 時(shí)間: 2025-3-23 12:02 作者: evasive 時(shí)間: 2025-3-23 15:14
Colorimetric Color Spaces,te necessity. For example, color calibration is routinely used throughout the digital print work flow but also in digital film production, professional photography, image databases, etc. One may have experienced how difficult it is, for example, to render a good photograph on a color laser printer, 作者: exorbitant 時(shí)間: 2025-3-23 20:19 作者: JADED 時(shí)間: 2025-3-23 22:53
Edge Detection in Color Images,nd accurately is an important task. Basic techniques for edge detection in . images are discussed in Chapter 6. . images contain richer information than grayscale images and it appears natural to assume that edge detection methods based on color should outperform their monochromatic counterparts. Fo作者: arthrodesis 時(shí)間: 2025-3-24 03:22
Edge-Preserving Smoothing Filters,easier extraction of meaningful information in subsequent steps, for example, in segmentation or feature detection. Simple smoothing filters, such as the Gaussian filter1 and the filters discussed in Chapter 15 effectively perform low-pass filtering and thus remove high-frequency noise. However, the作者: TSH582 時(shí)間: 2025-3-24 08:04 作者: Corporeal 時(shí)間: 2025-3-24 14:04 作者: 過(guò)渡時(shí)期 時(shí)間: 2025-3-24 14:55 作者: JUST 時(shí)間: 2025-3-24 21:33
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, the geometry of the image does not change.作者: 攀登 時(shí)間: 2025-3-25 03:09 作者: 暴發(fā)戶 時(shí)間: 2025-3-25 05:25 作者: 量被毀壞 時(shí)間: 2025-3-25 08:46 作者: MELD 時(shí)間: 2025-3-25 14:19
The Un-happy Short Story Cycle: Jean Rhys’s 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 作者: motor-unit 時(shí)間: 2025-3-25 19:51
https://doi.org/10.1007/978-3-319-67850-4 . 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作者: 逗留 時(shí)間: 2025-3-25 22:52 作者: 要塞 時(shí)間: 2025-3-26 00:27 作者: Ingredient 時(shí)間: 2025-3-26 07:56
F. Fogelman-Soulie,M. Milgram,G. Weisbuchentation 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作者: Constitution 時(shí)間: 2025-3-26 09:50 作者: 朦朧 時(shí)間: 2025-3-26 16:37
Rhythms in Physiological Systems 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. 作者: Shuttle 時(shí)間: 2025-3-26 19:03
Synergetics – Can It Help Physiologyprinting. Color perception is a fascinating and complicated phenomenon that has occupied the interests of scientists, psychologists, philosophers, and artists for hundreds of years [211, 217]. In this chapter, we focus on those technical aspects of color that are most important for working with digi作者: CAMEO 時(shí)間: 2025-3-27 00:30 作者: Essential 時(shí)間: 2025-3-27 03:31 作者: 沒(méi)有準(zhǔn)備 時(shí)間: 2025-3-27 06:37
David Lloyd,Miguel A. Aon,Sonia Cortassaibe how classical linear and nonlinear filters, which we covered before in the context of grayscale images (see Ch. 5), can be either used directly or adapted for the processing of color images. Often color images are treated as stacks of intensity images and existing monochromatic filters are simpl作者: inflate 時(shí)間: 2025-3-27 11:05
https://doi.org/10.1007/978-3-319-20517-5nd accurately is an important task. Basic techniques for edge detection in . images are discussed in Chapter 6. . images contain richer information than grayscale images and it appears natural to assume that edge detection methods based on color should outperform their monochromatic counterparts. Fo作者: UTTER 時(shí)間: 2025-3-27 16:49 作者: 輕推 時(shí)間: 2025-3-27 20:08
Nuno Moreno,Renato Cola?o,José A. Feijóinto sine and cosine functions using the wellknown .. 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 image processing can be sufficiently 作者: Judicious 時(shí)間: 2025-3-28 01:32 作者: PHON 時(shí)間: 2025-3-28 06:02
Hermann Haken,Hans Peter KoepchenIn a binary image, pixels 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 connected regions in images and how to isolate and describe such structures.作者: DENT 時(shí)間: 2025-3-28 06:39
Modelling Ca2+ Oscillations in PlantsThe Fourier transform is defined not only for 1D signals but for functions of arbitrary dimension. Thus, 2D images are nothing special from a mathematical point of view.作者: 不理會(huì) 時(shí)間: 2025-3-28 11:57 作者: Carminative 時(shí)間: 2025-3-28 15:26 作者: FUSE 時(shí)間: 2025-3-28 19:01 作者: Ascendancy 時(shí)間: 2025-3-28 23:21
Digital Image Processing978-1-4471-6684-9Series ISSN 1868-0941 Series E-ISSN 1868-095X 作者: Scintillations 時(shí)間: 2025-3-29 03:30
https://doi.org/10.1007/978-3-319-67850-4 . 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, the geometry of the image does not change.作者: TOXIN 時(shí)間: 2025-3-29 11:11
Rhythms in Physiological Systems 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. 4.1.4.作者: CRP743 時(shí)間: 2025-3-29 12:37
https://doi.org/10.1007/978-1-4471-6684-9Digital Image Processing; Discrete Fourier Transform; GSM - Postponed Project; Image Processing; Image P作者: 社團(tuán) 時(shí)間: 2025-3-29 18:18
Springer-Verlag London Ltd., part of Springer Nature 2016作者: 奇怪 時(shí)間: 2025-3-29 22:08
Springer Series on Cultural Computingtection of edges has been a traditional and important topic in image processing as well. In this chapter, we first look at simple methods for localizing edges and then attend to the related issue of image sharpening.作者: 小故事 時(shí)間: 2025-3-30 03:51
F. Fogelman-Soulie,M. Milgram,G. Weisbuchge. Edge maps created using simple threshold operations contain many edge points that do not belong to true edges (false positives), and, on the other hand, many edge points are not detected and hence are missing from the map (false negatives).作者: 率直 時(shí)間: 2025-3-30 07:23
https://doi.org/10.1007/978-3-319-20517-5hanges in image intensity. In this chapter, we first look at the use of “ordinary” (i.e., monochromatic) edge detectors for color images and then discuss dedicated detectors that are specifically designed for color images.作者: 保守黨 時(shí)間: 2025-3-30 09:10 作者: 清楚說(shuō)話 時(shí)間: 2025-3-30 15:40
Finding Simple Curves: The Hough Transform,ge. Edge maps created using simple threshold operations contain many edge points that do not belong to true edges (false positives), and, on the other hand, many edge points are not detected and hence are missing from the map (false negatives).作者: 豐富 時(shí)間: 2025-3-30 17:04 作者: Hemoptysis 時(shí)間: 2025-3-30 21:48 作者: ALOFT 時(shí)間: 2025-3-31 03:53 作者: machination 時(shí)間: 2025-3-31 08:11
Corner Detection,ting camera systems for machine vision applications. Thus corner points are not only important in human vision but they are also “robust” in the sense that they do not arise accidentally in 3D scenes and, furthermore, can be located quite reliably under a wide range of viewing angles and lighting conditions.作者: 地名詞典 時(shí)間: 2025-3-31 11:29
Morphological Filters,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 can be applied not just randomly but in a controlled fashion. Altering the local structure in a predictable way is exactly what “morphological” filters can do, which we focus on in this chapter.作者: largesse 時(shí)間: 2025-3-31 14:32
Colorimetric Color Spaces,l photography, image databases, etc. One may have experienced how difficult it is, for example, to render a good photograph on a color laser printer, and even the color reproduction on monitors largely depends on the particular manufacturer and computer system.作者: 起草 時(shí)間: 2025-3-31 21:03
