標(biāo)題: Titlebook: Computer Vision for X-Ray Testing; Imaging, Systems, Im Domingo Mery,Christian Pieringer Textbook 2021Latest edition Springer Nature Switze [打印本頁] 作者: 相反 時(shí)間: 2025-3-21 18:04
書目名稱Computer Vision for X-Ray Testing影響因子(影響力)
書目名稱Computer Vision for X-Ray Testing影響因子(影響力)學(xué)科排名
書目名稱Computer Vision for X-Ray Testing網(wǎng)絡(luò)公開度
書目名稱Computer Vision for X-Ray Testing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Vision for X-Ray Testing被引頻次
書目名稱Computer Vision for X-Ray Testing被引頻次學(xué)科排名
書目名稱Computer Vision for X-Ray Testing年度引用
書目名稱Computer Vision for X-Ray Testing年度引用學(xué)科排名
書目名稱Computer Vision for X-Ray Testing讀者反饋
書目名稱Computer Vision for X-Ray Testing讀者反饋學(xué)科排名
作者: 不可接觸 時(shí)間: 2025-3-21 21:39
Deep Learning in X-ray Testing, review many relevant concepts of deep learning that can be used in computer vision for X-ray testing. We covered the theory and practice of deep learning techniques in real X-ray testing problems. The chapter explained neural networks, Convolutional Neural Network (CNN) that can be used in classifi作者: GLOOM 時(shí)間: 2025-3-22 01:10
Rate of Denervation Muscle Atrophy, review many relevant concepts of deep learning that can be used in computer vision for X-ray testing. We covered the theory and practice of deep learning techniques in real X-ray testing problems. The chapter explained neural networks, Convolutional Neural Network (CNN) that can be used in classifi作者: 多嘴多舌 時(shí)間: 2025-3-22 05:56 作者: STALL 時(shí)間: 2025-3-22 09:48 作者: Legend 時(shí)間: 2025-3-22 13:03
,Graham Swift’s ,: The Polyphonic Novel, isolate the regions of interest, and (v) to remove the blurriness of the X-ray image. The chapter provides an overview and presents several methodologies with examples using real and simulated X-ray images.作者: Legend 時(shí)間: 2025-3-22 17:04 作者: placebo-effect 時(shí)間: 2025-3-22 22:49 作者: 單色 時(shí)間: 2025-3-23 04:03
X-Ray Image Processing, isolate the regions of interest, and (v) to remove the blurriness of the X-ray image. The chapter provides an overview and presents several methodologies with examples using real and simulated X-ray images.作者: forecast 時(shí)間: 2025-3-23 06:59 作者: 花費(fèi) 時(shí)間: 2025-3-23 09:46 作者: BOOST 時(shí)間: 2025-3-23 16:32 作者: acrimony 時(shí)間: 2025-3-23 19:55 作者: 憂傷 時(shí)間: 2025-3-24 02:09
X-ray Testing,on algorithms are being developed to execute this task. In this book, we present a general overview of computer vision approaches that have been used in X-ray testing in the last decades. In this chapter, we offer an introduction to our book by covering relevant issues of X-ray testing. 作者: BOOM 時(shí)間: 2025-3-24 06:06 作者: Triglyceride 時(shí)間: 2025-3-24 06:39
Images for X-ray Testing,ral X-ray images. Most of the series are annotated or labeled. In such cases, the coordinates of the bounding boxes of the objects of interest or the labels of the images are available in standard text files. The size of .ray+is 4.5?GB and it can be downloaded from our website. 作者: Endemic 時(shí)間: 2025-3-24 11:05
Classification in X-Ray Testing,oblem, i.e., feature extraction, feature selection, classifier’s design, and evaluation. We will thus propose a general framework to design a computer vision system in order to select—automatically—from a large set of features and a bank of classifiers, those features and classifiers that can achieve the highest performance.作者: 消瘦 時(shí)間: 2025-3-24 17:02 作者: optic-nerve 時(shí)間: 2025-3-24 22:58
https://doi.org/10.1007/978-1-4899-4854-0Networks (GANs) in the simulation of realistic X-ray images. Finally, we present ‘a(chǎn)RTist’, a simulation software that can be used to generate very realistic X-ray images. The chapter also has some Python examples that the reader can run and follow easily.作者: Germinate 時(shí)間: 2025-3-25 01:26 作者: 聰明 時(shí)間: 2025-3-25 06:08
Simulation in X-ray Testing,Networks (GANs) in the simulation of realistic X-ray images. Finally, we present ‘a(chǎn)RTist’, a simulation software that can be used to generate very realistic X-ray images. The chapter also has some Python examples that the reader can run and follow easily.作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-25 10:09
Textbook 2021Latest editionom industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book’s many examples.作者: 一再煩擾 時(shí)間: 2025-3-25 12:33
X-ray Testing,ndetectable to the naked eye. Thus, X-ray testing is used to determine if a test object deviates from a given set of specifications. Typical applications are the inspection of automotive parts, quality control of welds, baggage screening, analysis of food products, inspection of cargos, and quality 作者: 否認(rèn) 時(shí)間: 2025-3-25 19:11
Images for X-ray Testing,. The images are organized in a public database called .ray+that can be used free of charge, but for research and educational purposes only. The database includes five groups of X-ray images: castings, welds, baggage, natural objects, and settings. Each group has several series, and each series seve作者: Allege 時(shí)間: 2025-3-25 23:27
Geometry in X-ray Testing, view geometry which is normally used in X-ray computer vision systems. The chapter describes an explicit model which relates the 3D coordinates of an object to the 2D coordinates of the digital X-ray image pixel, the calibration problem, the geometric and algebraic constraints between two, three, a作者: commonsense 時(shí)間: 2025-3-26 01:22 作者: Rct393 時(shí)間: 2025-3-26 04:18 作者: tenosynovitis 時(shí)間: 2025-3-26 10:18 作者: 疲憊的老馬 時(shí)間: 2025-3-26 13:02
Deep Learning in X-ray Testing,ith features that are . efficiently using a hierarchical feature extraction approach. Usually, the learned features are so discriminative that no sophisticated classifiers are required. In last years, deep learning has been successfully used in image and video recognition, and it has been establishe作者: 有斑點(diǎn) 時(shí)間: 2025-3-26 19:14 作者: 細(xì)胞 時(shí)間: 2025-3-26 22:50 作者: 盟軍 時(shí)間: 2025-3-27 03:06
Domingo Mery,Christian PieringerPresents a focus on the most important real-world applications of X-ray testing.Updated edition featuring new material on deep learning, simulation approaches, and dual energy X-ray images.Includes nu作者: 結(jié)構(gòu) 時(shí)間: 2025-3-27 07:46
http://image.papertrans.cn/c/image/234080.jpg作者: microscopic 時(shí)間: 2025-3-27 10:58
https://doi.org/10.1007/978-3-030-56769-9Algorithms; Computer Vision; Image Analysis; Image Processing; Non-Destructive Testing; Pattern Recogniti作者: Archipelago 時(shí)間: 2025-3-27 17:18
978-3-030-56771-2Springer Nature Switzerland AG 2021作者: MENT 時(shí)間: 2025-3-27 18:35 作者: harangue 時(shí)間: 2025-3-27 23:27 作者: 北極人 時(shí)間: 2025-3-28 05:49 作者: 尖酸一點(diǎn) 時(shí)間: 2025-3-28 10:14
,Graham Swift’s ,: The Polyphonic Novel,filtering to remove noise or detect high-frequency details, (iii) edge detection to identify the boundaries of the objects, (iv) image segmentation to isolate the regions of interest, and (v) to remove the blurriness of the X-ray image. The chapter provides an overview and presents several methodolo作者: outskirts 時(shí)間: 2025-3-28 12:53 作者: NEEDY 時(shí)間: 2025-3-28 17:01
Rate of Denervation Muscle Atrophy,sily modify the proposed implementations in order to test different classification strategies. We will then present how to estimate the accuracy of a classifier using hold-out, cross-validation and leave-one-out. Finally, we will present an example that involves all steps of a pattern recognition pr作者: aqueduct 時(shí)間: 2025-3-28 20:03 作者: 石墨 時(shí)間: 2025-3-29 01:35
